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June 6, 2024
Blog

Does It Actually Work? How to Measure the Efficacy of Modern AI

The first step to moving beyond the AI hype is also the most important. That’s when you ask: How can AI actually make my work better? It’s the great ROI question. Technology solutions are only as good as the benefits they provide. So it’s critical to consider an AI solution’s efficacy—its ability to deliver the benefits you expect of it—before bringing it onboard.To help you do that, let’s walk through what efficacy means in general, and then look at what it means for the two types of modern AI.Efficacy varies depending on the solutionYou can measure efficacy in whatever terms matter most to you. For simplicity’s sake, let’s focus on quality, speed, and cost.When you’re looking to improve efficacy in those ways, it’s important to remember that not all AI is the same. You need to choose technology suited for your task. The two types of AI that use large language models (LLMs) are predictive AI and generative AI (for a detailed breakdown, see our previous article on LLMs and the types of AI). Because they perform different functions, they impact quality, speed, and cost in different ways.Measuring the efficacy of predictive AIPredictive AI predicts things, such as the likelihood that a document is responsive, privileged, etc. Here’s how it works, using privilege as an example. Attorneys review and code a sample set of documents.Those docs are fed to the AI model to train it—essentially, teaching it what does and doesn’t count as privilege for this matter.Then, the classifier analyzes the rest of the dataset and assigns a percentage to each document: The higher the percentage, the more likely the document is to be privileged.The training period is a critical part of the efficacy equation. It requires an initial investment in eyes-on review, but it sets the AI up to help you reduce eyes-on review down the line. The value is clearest in large matters: Having attorneys review 4,000 documents during the training period is more than worth it when AI removes more than 100,000 from privilege review.With that in mind, here’s how you could measure the efficacy of a predictive AI priv classifier.Quality: Does AI make effective predictions? AI privilege classifiers can be very effective at identifying privilege, including catching documents that other methods miss. A client in one real-life matter used our classifier in combination with search terms—and our classifier found 1,600 privileged docs that weren’t caught by search terms. Without the classifier, the client would have faced painful disclosures and clawbacks.Speed: Does predictive AI help you move faster? AI can accelerate review in multiple ways. Some legal teams use the percentages assigned by their AI priv classifier to prioritize review, starting with the most likely docs and reviewing the rest in descending order. Some use the percentages to cull the review population, removing docs below a certain percentage and reviewing only those docs that meet a certain threshold of likelihood. One of our clients often does both. For 1L review, they prioritize docs that score in the middle. Docs with extremely high or low percentages are culled: The most likely docs go straight to 2L review, while the least likely docs go straight to production. By using this method during a high-stakes Second Request, the client was able to remove 200,000 documents from privilege review.Cost: Does predictive AI save you money? Improving speed and quality can also improve your bottom line. During the Second Request mentioned above, our client saved 8,000 hours of attorney time and more than $1M during privilege review.Measuring the efficacy of generative AIGenerative AI (or “gen AI”) generates content, such as responses to questions or summaries of source content. Use cases for gen AI in eDiscovery vary widely—and so does the efficacy.For our first gen AI solution, we picked a use case where efficacy is straightforward: privilege logs. In this case, we’re not giving gen AI open-ended questions or a sprawling canvas. We’re asking it to draft something very specific, for a specific purpose. That makes the quality and value of its output easy to measure.This is another case where AI’s performance is tied to a training period, which makes efficacy more significant in larger matters. After analysts train the AI on a few thousand priv logs, the model can generate tens of thousands on its own.Given all that, here’s how you might measure efficacy for gen AI.Quality: Does gen AI faithfully generate what you’re asking it to? This is often tricky, as discussed in an earlier blog post about AI and accuracy in eDiscovery. Depending on the prompt or situation, gen AI can do what you ask it to without sticking to the facts. So for gen AI to deliver on quality and defensibility, you need a use case that affords: Control—AI analytics experts should be deeply involved, writing prompts and setting boundaries for the AI-generated content to ensure it fits the problem you’re solving for. Control is critical to drive quality.Validation—Attorneys should review and be able to edit all content generated by AI. Validation is critical to measure quality.Our gen AI priv log solution meets these criteria. AI experts guide the AI as it generates content, and attorneys approve or edit every log the AI generates. As a result, the solution reliably hits the mark. In fact, outside counsel has rated our AI-generated log lines better than log lines by first-level contract attorneys.Speed: Does gen AI help you move faster? If someone (or something) writes content for you, it’s usually going to save you time. But as I said above, you shouldn’t accept whatever AI generates for you. Consider it a first draft—one that a person needs to review before calling it final. But reviewing content is a lot faster than drafting it, so our priv log solution and other gen AI models can definitely save you time.Cost: Does gen AI save you money?Giving AI credit for cost savings can be hard with many use cases. If you use gen AI as a conversational search engine or case-strategy collaborator, how do you calculate its value in dollars and cents?But with priv logs, the financial ROI is easy to track: What do you spend on priv logs with gen AI vs. without? Many clients have found that using our gen AI for the first draft is cheaper than using attorneys.Where can AI be effective for you?This post started with one question—How can AI make your work better?—but you can’t answer it without also asking where. Where are you thinking about applying AI? Where could your team benefit the most?So much about efficacy depends on the use case. It determines which type of AI can deliver what you need. It dictates what to expect in terms of quality, speed, and cost, including how easy it is to measure those benefits and whether you can expect much benefit at all.If you’re struggling to figure out what benefits matter most to you and how AI might deliver on them, sign up to receive our simple guide to thinking about AI below. It walks through seven dimensions of AI that are changing eDiscovery, including sections on efficacy, ethics, job impacts, and more. Each section includes a brief questionnaire to help you clarify where you stand—and what you stand to gain.
May 17, 2024
Blog

From Data to Decisions, AI is Improving Accuracy for eDiscovery

Blogs Template M 3 Editing Share Publish From Data to Decisions, AI is Improving Accuracy for eDiscovery from-data-to-decisions-ai-is-improving-accuracy-for-ediscovery www.lighthouseglobal.com/blog/ from-data-to-decisions-ai-is-improving-accuracy-for-ediscovery 05/28/2024 From Data to Decisions, AI is Improving Accuracy for eDiscovery Learn through real scenarios how predictive and generative AI are helping to improve accuracy in eDiscovery. You’ve heard the claims that AI can increase the accuracy of analytical tasks during eDiscovery. They’re true when the AI in question is being developed responsibly through proper scoping, iterative testing, and validation. As we have known for over a decade in legal tech circles, the computational power of AI (and machine learning in particular) is perfectly suited to the large data volumes at play for many matters and the types of classification assessments required for document review. But how much of a difference can AI make? And what impact do large language models (LLMs) have in the equation beyond traditional approaches to machine learning? How do these boosts in accuracy help legal teams meet deadlines, preserve budget, and achieve other goals? To answer these questions, we’ll look at several examples of privilege review from real-world matters. Priv is far from the only area where AI can make a difference, but for this article it’ll help to keep a tight focus. Also, we’ve been enhancing privilege review with AI since 2019, so when it comes to accuracy—we have plenty of proof. What accuracy means for the two primary types of AI Before we explore examples, let’s review the two relevant categories of AI and what they do in an eDiscovery context. Predictive AI leverages historical data to predict outcomes on new data. For eDiscovery, we leverage predictive AI to provide us with a metric on the likelihood a document falls under a certain classification (responsive, privileged, etc.) based on a previously coded training set of documents. Generative AI creates novel content based directly on input data. For eDiscovery, one example could be leveraging generative AI to develop summaries of documents of interest and answers to questions we may have about the facts present in these documents. In today's context, both types of AI are built with LLMs, which learn from vast stores of information how to navigate the nuances and peculiarities of language as people actually write and speak it. (In a previous post, we share more information about LLMs and the two types of AI.) Because each of these types of AI are focused on different goals and have different outputs, predictive and generative AI also have different definitions of accuracy. Accuracy for predictive AI is tied to a traditional sense of the truth: How well can the model predict what is true about a given document? Accuracy for generative AI is more fluid: A generative AI model is accurate when it faithfully meets the requirements of whatever prompt it was given. If you ask it to tell you what happened in a matter based on the facts at hand, it may make up facts in order to be accurate to the prompt. Whether the response is true or is based on the facts of the matter depends on the prompt, tuning mechanisms, and validation. All that said, both types of AI have use cases that allow legal teams to measure their accuracy and impact. Priv classifiers prove to be more accurate than search terms Our first example comes from a quick-turn government investigation of a large healthcare company. For this matter, we worked with counsel to train an AI model to identify privilege and ran it in conjunction with privilege search terms. The privilege terms came back with 250K potentially privileged documents, but the AI model found that more than half of them (145K) were unlikely to be privileged. Attorneys reviewed a sample of the disputed docs and agreed with the AI. That gave counsel the confidence they needed to remove all 145K from privilege review—and save their client significant time and money. We saw similar results in another fast-paced matter. Search terms identified 90K potentially privileged documents. Outside counsel wanted to reduce that number to save time, and our AI privilege model did just that. Read the full story on AI and privilege review for details. Let’s return to our definition of accuracy for predictive AI: How well did the model predict what was true about the documents? Very well and more accurately than search terms. Now what about generative AI? Generative AI can draft more accurate priv logs than people We have begun to use generative AI to draft privilege log descriptions. That’s an area where defining accuracy is clear-cut: How well does the log explain why the doc is privileged? During the pilot phase of our AI priv log work, we partnered with a law firm to answer that very question. With permission from their client, the firm took privilege logs from a real matter and sent the corresponding documents through our AI solution. Counsel then compared the log lines created by our AI model against the original logs from the matter. They found that the AI log lines were 12% more accurate than those drafted by third party contract reviewers. They also judged the AI log lines to be more detailed and less repetitious. We have evidence from live matters as well. During one with a massive dataset and urgent timeline, outside counsel used our generative AI to create privilege logs and asked reviewers to QC them. During QC, half the log lines sailed through with zero edits, while the other half were adjusted only slightly. You can see what else AI achieved in the full case study about this matter. More accurate review = more efficient review (with less risk) Those accuracy numbers sound good—but what exactly do they mean for legal teams? What material benefits do you get from improving accuracy? Several, including: Better use of attorney and reviewer time. With AI accurately identifying priv and non-priv documents, attorneys spend less time reviewing no-brainers and more time on documents that require more nuanced analysis. In cases where every document will be reviewed regardless, you can optimize review time (and costs) by sending highly unlikely docs to lower-cost contract resources and reserving your higher-priced review teams for close calls. Opportunities for culling. Attorneys can choose a cutoff at a recall that makes sense for the matter (including even 100%) and automatically remove all documents under that threshold from review and straight into production. This is a crisp, no-fuss way to avoid spending time and resources on documents highly unlikely to be privileged. Lower risk of inadvertently producing privileged documents. Pretty simple: The better your system is for classifying privilege, the less likely you are to let privileged info slip through review. What does accuracy mean to you? I hope this post helps clarify how exactly AI can improve accuracy during eDiscovery and what other benefits that can lead to. Now it’s time to consider what all this means to you, your team, and your work. How important is accuracy to you? How do you measure it? Where would it help to improve accuracy, and what would you get out of that? To help you think it through, we assembled a user-friendly guide that covers accuracy and six other dimensions of AI that change the way people think about eDiscovery today. The guide includes brief definitions and examples, along with key questions like the ones above to help you craft an informed, personal point of view on AI’s potential.
October 3, 2023
Blog
AI, generative AI, antitrust, second requests, HSR, eDiscovery, review, information governance, healthcare, legal operations, law firm, corporate counsel

Law & Candor Season 12: Five Views of Innovation and Risk Impacting AI, eDiscovery, and Legal

AI, generative AI, antitrust, second requests, HSR, eDiscovery, review, information governance, healthcare, legal operations, law firm, corporate counsel ai-and-analytics; compliance; corporate; corporate-legal-ops; data-analytics; healthcare; healthcare-litigation; innovative-technology; innovation; information-governance; law-firm; mergers; modern-data; phi; pii; podcast; self-service, spectra; regulation; production mitch montoya In a year of unprecedented advancement in AI capabilities and economic uncertainty, legal teams and attorneys have been given both a compelling look into what the future of their work may look like and a sharp picture of today’s challenges. With a critical eye on how to manage and capitalize on these dueling perspectives that define legal’s current landscape, the guests on the new season of Law & Candor offer insights on a range of issues, including generative AI, new M&A guidelines and HSR rules, collaboration data, strategic partnerships, and the future of the industry. Listen for news, AI and technology updates, and best practices from leaders confronting these challenges and charting new paths forward. Episode 1: The Power of Three: Maximizing Success with Law Firms, Corporate Counsel, and Legal Technology Episode 2: What You Need to Know About the New FTC and DOJ HSR Changes Episode 3: Why Your eDiscovery Program and Technology Need Scalability Episode 4: Generative AI and Healthcare: A New Legal Landscape Episode 5: The Great Link Debate and the Future of Cloud Collaboration To keep up with news and updates on the podcast, follow Lighthouse on LinkedIn and Twitter . And check out previous episodes of Law & Candor at lighthouseglobal.com/law-and-candor-podcast. For questions regarding this podcast and its content, please reach out to us at info@lighthouseglobal.com.
September 26, 2023
Blog
Cross-border data transfer

Navigating Cross-Border eDiscovery Issues in the Wake of a U.S. Adequacy Determination

At Lighthouse our teams have the benefit of working across numerous clients, cases, and jurisdictions. As a result, we are building deep institutional knowledge across many aspects of eDiscovery that may be more difficult for individuals or teams to amass organically. To benefit our clients, we regularly share these insights in an ongoing series of best practices articles. This article provides updated guidance on cross-border eDiscovery in the wake of a recent adequacy determination by the European Commission for EU-US data transfers.Best Practices to Support Cross-Border Data Transfers in eDiscovery In any matter that potentially involves the processing and transfer of personal data across country borders, case teams should consider the following factors before deciding on a strategy:The underlying company’s own policy governing the processing of personal data (including transfer mechanisms, such as consent and/or binding corporate rules)The specific countries at issue (some countries have additional requirements for data residency, heightened consent requirements, etc.)The nature of the data (including special categories of protected data, i.e., high risk data), as well as the importance of the custodian and uniqueness/criticality of the dataThe options and feasibility of obtaining custodian consent for the transfer of their data (e.g., time to obtain consent, employment status of the custodian, the impact of obtaining consent on an investigation)When evaluating options for where the data should be processed, case teams should also consider:The country where most custodians are located (i.e., where the largest volume of data will be located) Data center options (if no data center, consider other cloud based or remote kit options and the impact on downstream search/review)The pros and cons of processing data in a single data repositoryMinimization at the point of collection as opposed to once data is processed into a review toolNote that most clients follow a “hub-centric” approach and process data in accordance with specific regions, e.g., data stored in the US is processed in the US; data stored in Europe is processed in a European data center; data stored in APAC is process either in APAC, depending on the country-specific laws, or in Europe, and so forth.Whenever non-U.S. data is present in a matter, case teams should consider the following best practices for cross-border data transfers:Establish lawful grounds for processing personal data (e.g., custodian consent, adequacy decision, or a legal exception defined by applicable data privacy regulations, such as the GDPR’s legitimate business interest exception). Note that many case teams choose not to rely solely on custodial consent for larger matters, unless the data originates from a highly restrictive jurisdiction (e.g., Switzerland, France, Germany, Luxembourg, etc.) or the matter involves specially protected data. Ensure there are adequate safeguards in place to support exceptions, such as the legitimate business interest exception. At a minimum, this includes efforts to “minimize” what is being processed (i.e., collecting only data that is necessary for the activity at hand). Case teams can minimize the volume of data being processed by using keywords or other filters to reduce what is collected, culling data at the processing stage, conducting a search for certain categories of personal data, redacting personal data, and permitting a custodian to review data prior to transfer.Case teams should also follow specific best practices when encountering any of the below scenarios during eDiscovery: Matters involving U.S. litigations and eDiscovery: Consider adding supplemental data privacy safeguards, including putting a protective order in place that specifically addresses the handling of personal data subject to applicable law (e.g., GDPR and other applicable country specific regulations). This includes provisions to designate certain data as subject to the protective order and specific provisions that require the deletion of data (and confirmation of deletion) once the litigation concludes. Matters involving cross-border transfers from other (non-U.S.) countries: Ensure an appropriate cross-border transfer mechanism is in place for all data transfers. Common examples of appropriate cross-border transfer mechanisms include model contract clauses, intra-company agreements, and adequacy decisions rendered by the European Commission (including the adequacy decision for the new EU-U.S. Data Privacy Framework).Matters involving data originating in China (PRC): Take into consideration all data security implications and PRC laws before transferring any data out of the country (including the requirement to conduct a state-secrets review in-country before any data can be transferred outside the country).Matters involving data originating in countries with heightened privacy restrictions and/or sector-specific requirements (i.e., bank secrecy): Consider processing (and potentially reviewing) data in-country.Document the protocol adhered to for each matter.ConclusionWhile transferring personal data across borders may feel like an increasingly complicated task for legal and eDiscovery teams, it is also a task that will be increasingly necessary as corporate data volumes grow and spread. The good news is that case teams do not have to navigate those complexities alone. An experienced eDiscovery partner with a global footprint and information governance/legal experts on staff can work closely with both outside and in-house counsel to develop a solution for cross-border data transfers that meets the legal requirements and needs of each matter. resource-article; data-privacy; information-governanceCross-border data transfercross-border-data-transfersjamie brown
September 8, 2023
Blog

Why Legal Teams Need to Reduce Repeated Document Review

Similar matters often pull in the same documents for review during eDiscovery. Many legal teams default to manually reviewing these documents for each matter, but this is quickly becoming untenable.Legal teams can reduce the burden of repeated review through the application of advanced technology and proactive review strategies. They may encounter barriers, from limitations of their current tools to concerns about defensibility. But legal teams can take small steps now that overcome these barriers and prepare them to meet the time, budget, and other pressures they face today.Repeated review exacerbates today’s challengesWe're approaching a time when legal teams simply can’t afford to review the same documents multiple times across matters. The size of modern datasets requires teams to reduce eyes-on review wherever possible. Meanwhile, repeated review of the same documents opens the door to inconsistency, error, and risk.When teams succeed in reducing repeated review, they turn their most common pain points into new sources of value. They get more out of their review spend, help review teams work faster, and achieve the accuracy that they expect and the courts demand.In an earlier post, we dig more deeply into when repeated review happens, what it costs, and how technology can support a different approach. If you’re eager to explore solutions, that’s a great place to start.But many legal professionals are unable to think about solutions yet. They face a range of internal and external barriers that make it hard to move or even see past the status quo of repeated review.If that’s the boat you’re in, keep reading.Changing your approach may appear dauntingLegal teams often have solid reasons for persisting with repeated review. These include:Feasibility concerns Every matter is unique, and teams may assume this means nothing of value carries over from one matter to another.Attorneys may distrust the decisions or data practices associated with prior matters. They prefer starting over from scratch, even if it means repeating work.Technology barriers Legacy tools and software lack the advanced AI necessary to save work product and apply learnings from matter to matter, but adopting new technology takes time and money that legal teams are wary of spending.Companies who use multiple vendors and eDiscovery review teams may store their data in multiple places, making it hard to reuse past work product.It’s true that no two matters are exactly alike, adopting new technology can be challenging, and it’s hard to trust the reliability of something you’ve never used before. But this doesn’t mean that repeated review is still the best option. As shown above, the costs are simply too high.So, what do we do about these barriers? How are teams supposed to move past them? The answer: One step at a time.Explore what’s possible by starting smallThese barriers are most formidable when you imagine rethinking your entire review approach. The idea of looking for potential document overlap across a huge portfolio, or finding and implementing a whole new technology suite, may be too overwhelming to put into action.So don’t think of it that way. Take small steps that explore the potential for reducing repeated review and chip away at the barriers holding you back. Instead of “all or nothing,” think “test and learn.”Look ahead to future matters, perform hybrid QC on past decisionsTo explore the feasibility of reducing repeated review, look at one matter with an eye on overlap. Does it share fundamental topics or custodians with any recent or future matters? Is it likely to have spin-off litigations, such as cases in other jurisdictions or a civil suit that follows a federal one?To build trust in decisions made during prior matters, try performing QC with attorneys and technology working in tandem. This can provide a quick and informative assessment of past decisions and calibrate your parameters for review going forward.Find a technology partner who meets you where you areIf your team lacks the technology to reuse work product, the right partner can right-size a solution for your needs and appetite. The hybrid QC example above applies here too. Many legal teams find that QC is an ideal venue for assessing the performance of advanced AI and getting a taste for how it works, because it’s focused, confined, and accompanied by human reviewers. From there, your team might expand to using advanced AI on a single matter, and eventually, on multiple matters. In all cases, your partner can do the heavy lifting of operating the technology, while explaining each step along the way, with enough detail that you can articulate its use and merits in court (or can “tag in” to present that explanation for you). “The right partner” in this context is someone with the data science expertise to apply the technology in the ways you need, along with the legal experience to speak to your questions and need for defensibility.Likewise, when data or case work are spread across multiple teams and locations, a savvy partner can still find ways to avoid duplicate work. This story about coordinating review across 9 jurisdictions is a great example.Take your time—but do take actionThe beauty of starting small is how it respects both the need to improve and the difficulty of making improvements. Changing something as intricate and important as your document review strategy won’t happen overnight. That’s okay. Take your time. But don’t take repeated review as a given. It threatens timelines, budgets, and quality. And it’s not your only option.For more on the subject, including specific scenarios where teams can reduce repeated review, see our in-depth primer.ediscovery-review; ai-and-analyticsreview; ai-and-analytics; ediscovery; ediscovery-processsarah moran
March 21, 2024
Case Study

Lighthouse Drives First Adoption of M365 by a Major Financial Services Organization

The project included replacing expensive third-party archives with native tools in M365, utilizing an automation solution that Lighthouse had recently prototyped for a large global manufacturer, and other breakthroughs the institution was unable to make before engaging with Lighthouse. Our work with the institution helped unblock their Microsoft 365 deployment and ultimately led to disclosure to regulators for institution’s intent to use M365 as system of record.SIFIs have long wished for a better way to meet their mutability requirement. Historically, they have relied on archiving solutions, which were designed years ago and are poorly suited for the data types and volume we have today. For years, people in the industry have been saying, “Someday we’ll be able to move away from our archives.” It wasn’t until the introduction of M365 native tools for legal and compliance that “someday” became possible.Data Management for SIFIs is Exceptionally ComplexThe financial services industry is one of the most highly regulated and litigious sectors in the world. As a result, companies tend to approach transformation gradually, adopting innovations only after technology has settled and the regulatory and legal landscape has evolved.However, the rate of change in the contemporary world has pushed many financial heavyweights into a corner: They can continue struggling with outdated, clunky, inadequate technologies, or they can embrace change and the disruption and opportunities that come with it.From an eDiscovery perspective, there are three unique challenges: (1) as a broker-dealers, they have a need to retain certain documents in accordance with specific regulatory requirements that govern the duration and manner of storage for certain regulated records, including communications (note that the manner of storage must be “immutable”). This has traditionally required the use of third-party archive solutions that has included basic e-discovery functionality. (2) As a highly regulated company with sizable investigation and litigation matters, they have a need to preserve data in connection with large volumes of matters. Traditionally, preservation was satisfied by long-term retention (coupled by immutable storage) and without deletion. Today, however, companies seek to dispose of legacy data—assuming it is expired and not under legal hold—and are eager to adopt processes and tools to help in this endeavor. (3) They have a need to collect and produce large volumes of data—sometimes in a short timeframe and without the ability to cull-in-place. This means they are challenged by native tooling that might not complete the scale and size of their operations. This particular company’s mission was clear: to use M365 as a native archive and source of data for eDiscovery purposes. To meet this mission, Lighthouse needed to establish that the platform could meet immutability and retrievability requirements—at scale and in the timeframe needed for regulatory and litigation matters. Lighthouse Helps a Large Financial Institution Leverage M365 to Replace Its Legacy Archive SolutionLighthouse is perfectly positioned to partner with financial services and insurance organizations ready to embrace change. Many on our team previously held in-house legal and technology roles at these or related organizations, including former in-house counsel, former regulators, and former heads of eDiscovery and Information Governance. Our team’s unique expertise was a major factor in earning the trust and business of a major global bank (“the Bank”). The Bank first engaged with Lighthouse in 2018, when we conducted an M365 workshop demonstrating what was possible within the platform—most notably, at the time, the potential for native tools to replace their third-party archives. Following the workshop, the Bank attempted, together with Microsoft, to find a viable solution. These efforts stalled, however, due to the complexity of the Bank’s myriad requirements. In 2020, the Bank re-engaged Lighthouse to supports its efforts to fully deploy Exchange and Teams and, in doing so, to utilize the native information governance and e-discovery toolset, paving way for the Bank to abandon its use of third-party archiving tools for M365 data. Our account team had the nuanced understanding of industry regulations, litigation and regulatory landscape, and true technical requirements needed to support a defensible deployment.As a result, we were able to drive three critical outcomes that the bank and Microsoft had not been able to on their own: (1) A solution adequate to meeting regulatory requirements (including immutability and retrievability). (2) A solution adequate to meeting the massive scale required at an institution like this. (3) A realistic implementation timeline and set of requirementsLighthouse Ushers the Bank Through Technical and Industry MilestonesWe spent six months designing and testing an M365-based solution to support recording keeping and e-discovery requirements for Teams and Exchange (including those that could support the massive scalability requirements). The results of these initial tests identified several gaps that Microsoft committed to close. The six month marked a huge milestone for the financial services industry, as the Bank disclosed to regulators their intent to use M365 as system of record. This showed extreme confidence in Lighthouse’s roadmap for the Bank, since a disclosure of this nature is an official notice and cannot be walked back easily. Over the next few months, we continued to design and test, partnering with Microsoft to create a sandbox environment where new M365 features were deployed to the Bank prior to general availability, to ensure we were able to validate adequate performance. During this time, Microsoft made a series of significant updates to extend functionality and close performance gaps to meet the Bank’s requirements. Finally, in February 2021, all the Bank’s requirements had been met and they went live with Teams—the first of their M365 workload deployments. That configuration of M365 met only some of the Bank’s need, however, so Lighthouse had to enable additional orchestration and automation on top. As it happens, we had recently done this for another company, creating a proof of concept for a reusable automation framework designed to scale eDiscovery and compliance operations within M365. Building on this work, we were able to quickly launch development of a custom automation solution for the Bank. This project is currently underway and is slated to complete in June, coinciding with their deployment of Exchange Online.Lighthouse Enables Adoption of Teams and Exchange and Scales M365 Compliance FunctionalityCompliant storage of M365 communications using native tools, rather than a third-party archive. Scaled and efficient use of M365 eDiscovery, including automation to handle preservation and collection tasks rather than manual processes or simple PowerShell scripts.Improved update monitoring, replacing an IT- and message-center-driven process with a cross-functional governance framework based on our CloudCompass M365 update monitoring and impact assessment for legal and compliance teams.Framework for compliant onboarding of new M365 communication sources like Yammer. Framework for compliant implementation of M365 in new jurisdictions, including restricted country solutions for Switzerland and Monaco. Framework to begin expanding to related use cases within M365, such as compliance and insider risk management. Lighthouse Paves the Way for Broader M365 Adoption Across the Financial Services IndustryFollowing the success of this project, we have been engaged by a dozen other large financial institutions interested in pursuing a similar roadmap. The roadblocks we removed for the Bank are shared across the sector, so the project was carefully watched. With the Bank’s goals confidently achieved and even surpassed, its peers are ready to begin their own journey to sunset their archives and embrace the opportunities of native legal and compliance tools in M365.
March 27, 2024
Case Study
ai-and-analytics

AI Powers Successful Review for a Pressing Matter

Two Months to Tackle Three Million DocumentsA financial institution with an urgent matter had two months to review 3.6M documents (2.4TB of data).With that deadline, any time that reviewers spent on irrelevant documents or unnecessary tasks risked missing their deadline. So outside counsel called on Lighthouse to help efficiently review documents.AI and Experience Prove Up to the ChallengeUsing our AI-powered review solution, we devised an approach that coordinated key data reduction tactics, modern AI, and search expertise at different stages of review.Junk Removal and Deduplication Set the Stage We started by organizing the dataset with email and chat threading and removing 137K junk documents. Then we shrank the dataset further with our proprietary deduplication tool, which ensures all coding and redactions applied to one document automatically propagate to its duplicates. AI Model Removes 1.5 Million Nonresponsive Documents To build the responsive set, we used our AI algorithm, built with large language models for sophisticated text analysis. We trained the model on a subset of documents then applied it to all 2.2M TAR-eligible documents, including transcripts from chat platforms. The model identified 80% of the documents containing responsive information (recall) with 73% accuracy (precision). The final responsive set consisted of 650K family-inclusive documents—18% of the 3.6M starting corpus. AI Supports Privilege Detection, QC, and Descriptions Our AI Privilege Review solution supported reviewers in multiple ways.First, we used a predictive AI algorithm in conjunction with privilege search terms to identify and prioritize potentially privileged documents for review. During QC, we compared attorney coding decisions with the algorithm’s assessment and forwarded any discrepancies to outside counsel for final privilege calls. For documents coded as privileged, we used a proprietary generative AI model to draft 2.2K unique descriptions and a privilege log legend. After reviewing these, attorneys left nearly 1K descriptions unchanged and performed only light edits on the rest.Search Experts Surface the 300 Documents Most Important for Case Prep Alongside the production requirements for the Second Request, Lighthouse also supported the institution’s case strategy efforts. Each tranche of work was completed in 4 days and within an efficient budget requested by counsel, who was blown away by the team’s speed and accuracy. Using advanced search techniques and knowledge of legal linguistics, our experts delivered: 130 documents containing key facts and issues from the broader dataset, for early case analysis. 170 documents to prepare an executive for an upcoming deposition. Beating the Clock Without Sacrificing Cost or QualityWith Lighthouse Review—including the strategic use of state-of-the-art AI analytics—outside counsel completed production and privilege logging ahead of schedule. The financial institution met a tough deadline while controlling costs and achieving extraordinary accuracy at every stage.
December 15, 2023
Case Study

Lighthouse Uncovers Key Facts In Misappropriation Investigation

Searching for Evidence in 8TB of Chat and Technical Data Senior executives at an information technology company suspected that former employees had utilized company resources and intellectual property when starting a rival company. To determine whether litigation was called for, executives needed to find the most relevant documents within 8TB of processed data. The data was extremely complex, dating back 6+ years and consisting mostly of Slack data and attachments including highly technical documents, applications, logs, and related system files—tallying over ten million files. The company engaged a senior partner at an AM50 law firm, who recommended using keyword search terms, filters, and targeted linear review to find the “smoking gun” documents—which was estimated to take several months. The company came to Lighthouse looking for a faster, more strategic search alternative for their investigation. Pinpointing Key Docs with Linguistic Analysis Two Lighthouse search and linguistics experts met with company executives to learn exactly what information they suspected the former employees had misappropriated. From there, our experts created linguistic-based search criteria that go well beyond keywords, taking into consideration the unique vocabulary and syntax of software engineers and developers, the conversational quirks of Slack and other chat-based communications, and the coded language used by people who are trying to get away with something. The team delivered documents in 2 batches, refining their search based on input from the executives—and resulting in only 39 files for the company to review. Getting Results—and a Start on Case Strategy—in Days In less than 10 days, 2 Lighthouse experts pierced the subterfuge in the employees’ chat messages to reveal patterns in their behavior and attempts to cover their tracks. In all, we found 39 documents representing possibly questionable conduct, which required only 141 hours of eyes-on review. In comparison, using conventional analytics would have identified 5-20% of the search population as key documents—up to 50K documents to review in this matter. So in the end, Lighthouse saved the company over 3 months and nearly $200K.Armed with knowledge of the key events, timelines, and context of conversations buried within the data, the company was primed to begin litigation efforts and had a team ramped up to perform additional searches when needed.Lighthouse KDI vs Linear Review
December 15, 2023
Case Study
Key document identification, KDI, ai-and-analytics

Lighthouse Litigation Prep Proves Invaluable in Complex Litigation

Firms Needed Fast Analysis of 25M Documents More than a dozen international law firms—including a Joint Defense Group (JDG) of 11 firms and several firms representing defendants outside the JDG—were engaged in a complex cluster of cases spanning over 30 US jurisdictions. The total document tranche included over 25M documents. The firms needed to find and understand the key players, timelines, and nuances involved in each litigation, while also preparing for hundreds of depositions, witness interviews, hearings, and trials scheduled across the litigation universe. However, traditional approaches to fact-finding and litigation (i.e., document review, keyword searches, etc.) were drowning case teams in extraneous and duplicative information. They came to Lighthouse looking for a strategic, unified approach to fact-finding, led by experts who could deliver the key documents, information, and details the case teams needed—and nothing more. Custom Workflows Power Consistency, Speed, and Efficiency Our experts started by creating a topic map across matters, which helped them quickly provide case teams with the core themes in each jurisdiction while reducing redundant search work. From there, as case strategy for each matter developed, the Lighthouse team drilled down into more nuanced fact-finding to help surface the documents case teams needed to learn the key details of each matter, through strategies like: State/Jurisdictional Overview Workflow – We used advanced search technology to target key documents in incoming productions and categorize them by jurisdiction, providing case teams with an immediate thematic overview of key facts and timelines. Re-Deployable Linguistic Model Workflow – Lighthouse linguists developed models based on intimate knowledge of the language used within the datasets, then deployed them within proprietary search technology to sort documents into tiers based on the likelihood that they contained key information. Deposition Kit Bundle Workflow – By bundling deposition kit requests from the same jurisdictions and departments together, we could search across smaller collections of documents and take a deponent-agnostic approach. Previously Delivered Name Hit Workflow – We provided case teams with documents from previously delivered results, giving them an advanced start on deposition preparation while further reducing duplicative searching. These repeatable workflows significantly reduced the volume of searching and coordination required across matters and enabled Lighthouse experts to quickly zero-in on the exact documents needed—without wasting counsels’ time with redundant and unimportant documents. Critical Docs Found and Delivered Across Dozens of Matters and Hundreds of Kits Over the course of two years, Lighthouse experts prepared dozens of case teams for complex litigation and handled a deluge of competing deadlines, priorities, and ad hoc requests (totaling as many as 70 requests at a time). For the Joint Defense Group, this meant: Over 1,150 deposition kits across 24 matters, encompassing 245K unique documents Over 100 state overviews across 21 different jurisdictions, encompassing 80K documents For law firms representing individual defendants, Lighthouse provided an additional:150 deposition kits, encompassing 13K documents 30 defensive overviews across 20 jurisdictions, encompassing 6K documents 1.3K documents in response to ad hoc requests and trial support Each delivery was limited to essential information—including key themes and players in every jurisdiction, potential gaps in productions, lists of hot/sensitive documents and potential deponents, and key strategy documents—and avoided redundant and unimportant documents. The combination of innovative workflows and cutting-edge technology enabled Lighthouse to keep our team small and consistent throughout the engagement, so the entire effort was achieved by a handful of Lighthouse experts with institutional knowledge of every matter. Since this engagement, we have used the same workflows for other clients facing complex Multidistrict Litigation (MDL)—making Lighthouse key document identification one of the most valuable and scalable litigation technology solutions on the market today.
September 22, 2023
Case Study

Lighthouse Transforms Complex Enterprise Data Protection with Microsoft Purview

The Lighthouse team of SMEs applied their dedication to exemplary customer experience and unique strategy of marrying compliance, security, IT, and legal needs to help a global chemistry solutions and specialty material producer meet the ever-evolving security and compliance demands and challenges facing international manufacturing and regulations to effectively deploy Microsoft Purview across workstreams while preparing for needs and reducing costs. Global Leader in Chemistry Solutions Transforms Enterprise Data Protection with Microsoft Purview An international producer of commercial chemicals and specialty materials upholds a commitment to people safety and well-being as part of their core tenets. As cyber risks increased along with data volumes, the organization extended their commitment to safety to include the security of data accessed, produced, and stored within their enterprise. Now, the company has implemented a comprehensive data protection program using the entire Microsoft 365 Information Protection suite. After careful design, the team is piloting the solution before a global rollout. A Commitment to Physical and Digital Safety As one of the world’s largest acetyl products manufacturers and a top-tier producer of high-performance engineered polymers, the company supplies chemicals across major industries and for a variety of industrial and consumer applications. Over 10,000 employees in offices, technical centers, and 50+ manufacturing facilities work to realize a vision of improving the world and everyday life through people, chemistry, and innovation—with products that impact the lives of millions. For the organization, an operational approach rooted in well-being has always meant physically safe working environments for employees, and safe solutions for their customers and their communities. However, in this digital age, they have expanded their notion of safety to include data protection for employees, customers, shareholders, and the communities in which they operate. The company’s Chief Information Security Officer (CISO) notes that committing to data protection means a “higher level of assurance—making sure that our security controls keep pace with the threats that surround us every day and seek to exploit vulnerabilities in companies like us every day. You can’t stand still. You always have to evolve—you always have to get better, otherwise you’re devolving, and you’re getting worse, and becoming more vulnerable.” Advancing Data Protection with a Trusted Partner A few years ago, when the company decided to make the move to the cloud, they chose Microsoft 365 E5 and Microsoft Azure, building on their longstanding use of Microsoft technologies. Prior efforts to overhaul their data protection program had been unsatisfactory. However, with access to new Microsoft Purview capabilities, the Information Security team saw an opportunity to try again. They hoped to utilize the full breadth of the Microsoft 365 Information Protection suite including Information Protection Classification and Labeling, Data Loss Prevention (DLP), and Insider Risk Management solutions. Microsoft tapped Security Solutions and Advanced Specialization Designation-Information Protection and Governance Partner Lighthouse Global to lead the engagement for their ability to effectively understand complex compliance needs across IT, security, and legal departments. They hoped that together they could develop a solution to realize the investment they’d made in Microsoft 365, and to support their corporate commitment to safety for both employees and customers. “If you were to interview a bunch of companies, those who have actual, very successful DLP and data labeling programs typically have a hodgepodge of solutions that get melded together,” reflected the CISO, “and that’s where Lighthouse was successful…we’ve been able to leverage the investment…and get it to work, [and not] have to go spend more money to hodgepodge together a solution.” Developing a Comprehensive, Scalable Solution The Lighthouse team started by holding a series of working sessions to align the company’s vision and requirements and design the implementation approach. Using Microsoft Compliance Check, Lighthouse scanned the company’s environment to get an understanding of current state activity and sensitivity intelligence. The team also reviewed existing policies and approaches for the handling of sensitive data and data loss prevention to identify any areas of opportunity or gaps that could exist. From there, the combined teams were able to successfully design and configure a holistic data protection solution leveraging multiple Microsoft Purview products including Data Loss Prevention, Information Protection, and Insider Risk Management. Starting with data classification, the team defined the sensitive information types that needed to be identified. From there, they developed a set of sensitivity labels corresponding to the data protection policy. This set of classification techniques and labels were generated in the course of both Data Loss Protection and Insider Risk Management implementation, ensuring a comprehensive data life cycle protection program from content identification through insider threat analysis. Finally, the Lighthouse team supported the integration of the Microsoft products with the company’s third-party HR software to feed HR data into the Data Theft by Departing Employee Policy, enabling the creation of a truly end-to-end solution. Fulfilling a Mission of Security The company’s dedication to safety, security, and well-being across applications and contexts drove this project’s success. “Because we see security as part of our commitment to people and innovation, we take a uniquely holistic approach and have strong support all the way up to our board of directors,” says the company’s CISO. The CISO also credits Lighthouse’s unwavering commitment to partnership. “They helped us not only implement the technology and guide us through some of the critical points to consider as we implemented the technology, but also the process and decision points with data—which ultimately, in the end, actually worked,” they conclude. Now, with the design and implementation of the Microsoft Purview-based Data Protection program behind them, the organization’s information security team is focused on operationalizing the program through a series of pilots scheduled over the next year. Their ultimate goal is total, global implementation of the solution—and total, global protection for all employee and customer data. Corporate Case Studymicrosoft; big-datamicrosoft-365; data-privacy
September 7, 2023
Case Study
ediscovery-review, ai-and-analytics, biotech

Alignment and Savings Across a Dynamic Portfolio

A global biotech achieves consistent and efficient document review with Lighthouse review. Key Actions Coordinating efforts across disparate review teams and counsel Integrating advanced AI and other innovations on an incremental basis ‍ Key Results Streamlined and efficient approach to document review Saving more than $340,000 through a tailored workflow in one recent matter A Lack of Coordination Drove High Costs and Complexity Document review for a global biotech was expensive and inconsistent, due to a high frequency of litigations with often overlapping timelines and different outside counsel. Lighthouse had been managing the company’s electronically stored information (ESI) for years, saving the company hundreds of thousands of dollars through plans and policies introduced over time. After learning of our expertise in managed review, the company hired Lighthouse to bring order and efficiency to that domain as well. Laying a Foundation with Standard Protocols Our first order of business was to establish universal standards across matters, outside firms, and review vendors. These included: Upstream changes , such as data management protocols that made documents easier to search and sort. Overarching review protocols , such as QC process guidelines and specifications for production. Changes to specific tasks , such as refining privilege filters and standardizing coding layouts so review performance could be compared across different matters and teams. A Lighthouse review manager trained all current firms and vendors and was on hand to monitor progress and answer questions, as well as onboard new firms and vendors as needed. Increasing Efficiency Through Technology Over time, Lighthouse gradually introduced accelerators to help increase efficiency and cost savings. Initially, this consisted of: Deduplication improvements , through strategies like single-instance review and normalized deduplication. Review accelerators such as privilege log automation and redaction automation. To drive even more savings, Lighthouse led the company through a test-and-learn process for building workflows around advanced AI and other, more in-depth technology. The process involved trying out a new technology on a live matter, then conducting a post-mortem to clarify what worked and what could be improved. In this way, Lighthouse and the company developed a rubric for determining which workflows were the right fit for different matters. Streamlined, Aligned, and Eager to Keep Innovating In 5 years, Lighthouse transformed the company’s disconnected, manual, expensive approach to document review into a coordinated and robust program that boosts efficiency at every level. For one recent matter—a patent litigation with a tight timeline overlapping the winter holidays—this review program drove extraordinary efficiency and savings. Tailoring the client playbook for the specific matter, the review manager designed a complex workflow that reduced eyes-on review: The initial dataset of almost 8M documents was reduced to a corpus of 388K through deduplication, culling, and removal of embedded and redundant documents. The population was further reduced through search hit only protocols and by employing a continuous active learning (CAL) model, stopping review when responsive documents became scarce. Finally, Lighthouse reunited document family members, automatically giving members tied to responsive documents the coding of their source docs. In the end, Lighthouse: Reduced eyes-on review to just 92K documents (25% of the documents promoted to review) Saved the company an estimated $341,000 in review costs Going forward, the company is ready to increase its use of technology, including classifiers built with advanced AI and an automated workflow for redactions of personally identifiable information (PII). Corporate Case Studyai-and-analytics; ediscovery-reviewediscovery-review, ai-and-analytics, biotech
September 7, 2023
Case Study
antitrust, ai-and-analytics-ediscovery-review, kdi, key document identification

Lighthouse Key Document Identification Proves Pivotal to Antitrust Defense

Lighthouse leveraged linguistic expertise and cutting-edge analytics to efficiently locate only the documents that mattered in a complicated, year-long antitrust criminal investigation and trial. What They Needed Senior executives from a global food manufacturing company faced federal criminal antitrust charges related to allegations of 15 instances of price fixing over a five-year period. A joint defense team comprised of outside counsel representing each of the executives was assembled by the company. The prosecution expected to make rolling productions of evidence up to and through the trial. As those productions rolled in, the joint defense team could tell that many of the evidentiary documents, timelines, and conversations that were key to the prosecution’s case were taken out of context or failed to include all the exculpatory evidence. However, the joint defense team was having trouble finding key evidence because much of the nuance was located within piecemeal chat conversations and complex bid spreadsheets that were buried among millions of similar documents. The joint defense team needed a document search team that was nimble and could quickly identify the most important documents to the defense and share them across the team. They came to Lighthouse because we could quickly identify key documents with accuracy and nuance. How We Did It Lighthouse first organized a central search desk, where all members of the joint defense team could go for document search requests, with results shared across three defense teams. Next, the Lighthouse team located the most important documents related to each of the 15 episodes of price-fixing allegations, on a priority basis. They used linguistic expertise to create narrow searches, taking into consideration the nuance of acronyms, slang, and terminology used within the company and the food manufacturing industry. They also leveraged Lighthouse’s proprietary, cutting-edge search analytic tools to look for key information buried in hundreds of thousands of Excel spreadsheets and chat messages. As the government produced more documents, the Lighthouse team refreshed their searches, looking for key documents in each new production and quickly sharing results across the defense team. As defense preparations continued throughout the year, we we supported all aspects of trial preparation, including two mock trials, all witness preparation binders, and the James hearing. Lighthouse support will continue through the criminal trial for the senior executives, due to our proven success in supporting ad hoc search requests and providing results in real time. The Results The Lighthouse team efficiently delivered incredibly accurate results, saving the underlying client more than $3M thus far. Out of an always-in-flux review population that eventually grew to over 16M documents, Lighthouse was able to cull through the irrelevant data to find and deliver only the most important documents for the defense team’s utilization. In the end, that amounted to less than 1% of the initial review population, including: 4.7K documents for the joint defense group to defend the episodes of alleged price fixing 5.3K documents for defense team’s specific ad hoc and witness kit requests (an average of 400 documents per witness kit) In comparison, a traditional linear review using search terms and conventional analytics performed by multiple case teams typically results in 5-20% of the data population being tagged as “key documents.” This volume would then be funneled to the case teams for review as well, where they would waste valuable time and resources looking at hundreds of thousands of irrelevant or run-of-the-business documents. In addition to cost-efficiency, the team has gained expertise in the key events, timelines, and context of conversations buried within the data. As such, the team is now a critical resource to the defense, supporting all stages of the investigation and assisting in pivot ad hoc requests. Examples include finding a unique pricing document buried among volumes of near duplicates, as well as the relevant context surrounding a single line of a chat message. In the end, Lighthouse saved the underlying company significant time and money that could not have been achieved otherwise. Additionally, our expertise in the data was a critical resource to the joint defense team, which relied on Lighthouse at each step of trial preparation. Lighthouse expert support will continue throughout the criminal trial. ‍ Corporate Case Studyantitrust; ai-and-analytics; ediscovery-reviewantitrust, ai-and-analytics-ediscovery-review, kdi, key document identification
August 3, 2023
Case Study
Case-Study; client-success; ai-and-analytics; analytics; Compliance-and-Investigations; Corporate; Corporation; data-analytics; eDiscovery; fact-finding; healthcare-investigations; investigations; machine-learning; predictive-coding; Processing; risk-management; self-service, spectra; Spectra; TAR; TAR-Predictive-Coding; technology-assisted-review; edicovery-review; ai-and-analytics

Lighthouse Self-Service Solution Uplevels Compliance Investigations

In-house legal and compliance teams use Lighthouse Spectra, a cloud-based, self-service legal technology platform, to achieve a more efficient and scalable approach to compliance monitoring. Our self-service technology keeps clients well ahead of audits and compliance risks, while lowering the costs and inefficiencies inherent to compliance monitoring, particularly for companies working in heavily regulated industries. Clients avoid the processing fees and wait times that burden compliance reviews by quickly and easily loading their own data. Then, they leverage industry leading technology to create repeatable, scalable compliance workflows that quickly cull out irrelevant data and uncover key information. The results are lower risk, faster results, and unprecedented savings. Repeatable and Effective Self-Service Compliance Investigation Workflow Below, we’ve detailed a sample self-service compliance workflow—including real results that our clients have achieved at each step during internal investigations. Similar workflows have been used by our clients to deliver up to 96% reduction in document review and over $800K in savings across a single investigation. Step 1: Automated Data Upload, Processing, and Deduplication What it does : Reduces administration time, speeds up investigation setup, reduces hosting costs, reduces review population by removing duplicates Lighthouse self-service automation features reduce the manual set up tasks that often delay the start of an investigation (data import, processing, etc.). Clients can leverage Lighthouse’s native file managing technology at this point to significantly reduce hosting costs—by only loading native files if or when they’re necessary to the investigation. Once data is uploaded and processed, clients can deploy Lighthouse deduplication technology to immediately remove redundant data. Results : Enabled an investigation team to start analysis one week earlier than standard processing; reduced data population by 25%. Step 2: ECA Culling and Search Term Iteration What it does : Reduces review populations by removing irrelevant documents Once processed and deduplicated, clients use our customized culling and search term iteration processes to swiftly narrow the scope of documents for review. Results : Reduced review population of an internal investigation by over 78%. Step 3: Thread Suppression and Proprietary Review Technology What it does : Reduces review populations by identifying the most unique documents Clients can then implement customized workflows that combine email thread suppression with Lighthouse review technology to identify the most unique documents. Results : Reduced review population of an internal investigation by over 50%. Step 4: Lighthouse TAR and Advanced Analytics What it does : Finds the key documents that matter to investigations. After the culling process, clients often deploy Lighthouse’s Continuous Active Learning TAR workflows to find relevant documents. Once reaching a point of diminishing returns, advanced analytics such as clustering, categorization, and concept searches can be deployed to ensure that no relevant documents were left behind. Results : Reduced review population of an internal investigation by over 60%. Corporate Case Studyspectra; self-service, spectra; compliance-and-investigationsediscovery-review; client-success; ai-and-analyticsCase-Study; client-success; ai-and-analytics; analytics; Compliance-and-Investigations; Corporate; Corporation; data-analytics; eDiscovery; fact-finding; healthcare-investigations; investigations; machine-learning; predictive-coding; Processing; risk-management; self-service, spectra; Spectra; TAR; TAR-Predictive-Coding; technology-assisted-review; edicovery-review; ai-and-analytics
August 3, 2023
Case Study
Case-Study; client-success; ai-and-analytics; analytics; document-review; eDiscovery; fact-finding; investigations; KDI; key-document-identification; keyword-search; TAR; TAR-Predictive-Coding; technology-assisted-review; machine-learning; transportation-industry; automotive-industry; edicovery-review; ai-and-analytics

Unprecedented Review Accuracy and Efficiency in Federal Criminal Investigation

A global transportation company was under investigation for possible infractions of the Foreign Corrupt Practices Act (FCPA) in India. The company’s legal counsel needed to quickly produce responsive documents and find key documents to prepare their defense. Key Results 4M total documents reduced to 250K through 2 rounds of responsive review, with precision rate and recall of 85% or higher. 810 key documents quickly delivered to outside counsel, saving them hours of review and gaining more time for case strategy. A Complex Dataset Requiring Nuanced Approaches The company collected 2M documents from executives in India and the U.S. Information in the documents was extremely sensitive, making it critical to produce only those documents related to the India market. This would be impossible for most TAR tools, which use machine learning and therefore can’t reliably differentiate between conversations about the company’s business in India from discussions solely pertaining to U.S. business. Finding key documents to prepare a defense was challenging as well. The company wanted to learn whether vendors and other third parties had bribed officials in violation of the FCPA, but references to any such violations were sure to be obscure rather than overt. Zeroing In On the Right Conversations Lighthouse used a hybrid approach, supplementing machine learning models with powerful linguistic modeling. First, our linguistic experts created a model to remove documents that merely referred to India but didn’t pertain to business in that market, so that the machine learning TAR wouldn’t pull them into the responsive set. Then our responsive review team developed geographic filters based on documents confirmed as India-specific and used those filters to train the machine learning model. The TAR model created an initial responsive set, which our linguists refined even further with an additional model, based on nuances of English used in communications across different regions of India. By the end, our hybrid approach had reduced the corpus by 97%, with an 87% precision rate and 85% recall. Once this first phase of review was successfully completed, Lighthouse dove into an additional 2M documents collected from custodians located in India. Finding Key Documents Among Obfuscated Communications To help inform a defense, our search specialists focused on language that bad actors outside the company might have used to obfuscate bribery. The team used advanced search techniques to examine how often, and in what context, certain verb-noun pairs indicating an “exchange” were used (for instance, commonly used innocent pairings like give a hand vs. rarer pairs like give reward). The team could then focus on the documents containing language indicating an attempt to conceal or infer. $1.7M Saved, 810 Key Documents Found to Support Defense Lighthouse performed responsive review on two datasets of 2M documents each, reducing them to less than 250K and saving the client more than $1.7M. Out of the 237K responsive documents, Lighthouse uncovered 810 hot docs spanning 7 themes of interest. The work was complete in just 3 weeks and enabled outside counsel to provide the best defense to the underlying company. Corporate Case Studykdi; key-document-identification; case-study; investigations; reviewediscovery-review; client-success; ai-and-analyticsCase-Study; client-success; ai-and-analytics; analytics; document-review; eDiscovery; fact-finding; investigations; KDI; key-document-identification; keyword-search; TAR; TAR-Predictive-Coding; technology-assisted-review; machine-learning; transportation-industry; automotive-industry; edicovery-review; ai-and-analytics
August 1, 2023
Case Study
AI, ai-and-analytics, analytics, artificial-intelligence, Big-Data, Case-Study, Corporation, Corporate, data-analytics, Data-Re-use, Data-Reuse, data-re-use, document-review, eDiscovery, eDiscovery-Migration, healthcare-litigation, litigation, managed-review, Prism, TAR, TAR-Predictive-Coding, technology-assisted-review, ediscovery-review, ai-and-analytics

Connecting Matters for Better, Faster eDiscovery

A healthcare provider needed help simplifying ESI hosting for a complex series of 14 related matters across 9 states (and growing). Lighthouse went above and beyond—providing a unified workflow from hosting to review. Key Actions Quickly migrated 11M documents from existing Relativity and non-Relativity databases into a single repository, supported by AI Created one sophisticated workflow—from ESI storage to managed review—for over 14 matters across 9 states (and any other matters that arise in the future) Leveraged advanced technology to facilitate data re-use, data reduction, and review efficiency ‍ Key Results Avoided duplicate collections, hosting, and review of 1.2M documents Instantaneously provided production sets to all 14 matters, giving local counsel time to focus on unique matter documents before production Set case teams up for success in future matters with a readymade data repository, workflow, and trained review team—exponentially increasing the client’s ROI Data Everywhere and No One to Turn To A large healthcare provider was facing a growing number of separate but related litigations. With 14 ongoing matters in 9 different jurisdictions, the company’s data was spread out across multiple ESI vendors and a variety of review databases. The hosting costs of this data sprawl was threatening to explode the company’s overall budget. And with each case team and vendor taking their own approach to case strategy and review, in-house counsel was busy herding cats rather than managing overall litigation strategy. They came to Lighthouse desperately seeking a way to consolidate their overall eDiscovery approach to these matters. A Streamlined Solution for Multiple Matters, from Hosting Through Review Lighthouse seamlessly integrating all related matters into an advanced document repository. Backed by AI, this repository connected insights across matters and maximized work product reuse. Using this repository as a base, our experts built a sophisticated eDiscovery workflow for all 14 individual matters. Each process in every individual matter—from hosting to document review—was purposefully designed around insights and data from all other related matters. The result of this holistic approach was more efficient, consistent, and accurate eDiscovery across every matter—at a much lower cost than could ever have been achieved with a traditional siloed approach. Here’s how we did it: Faster, More Versatile Migration Capabilities With our advanced technology and unique migration expertise, Lighthouse quickly migrated 11M documents from existing databases—including Relativity and non-Relativity—into an advanced AI-backed document repository. At the outset, the team worked closely with the client to understand the scope, types of data, and future needs, so that the migration flowed quickly and efficiently. This approach meant that the client only had to process data once, rather than paying for processing and re-processing data with every matter. Individual case teams also immediately reaped the benefit of data and insights from every related matter, including matters that had already been successfully litigated. This helped counsel anticipate issues in their own matters, while re-using review work product for greater efficiency and consistency—ultimately saving costs and improving matter outcomes. One Hash for Unprecedented Cross-Matter Deduplication and Efficiency Unlike other data storage repositories, the Lighthouse AI-backed repository adds a hash system unique to Lighthouse. This technology normalizes documents before adding a hash value, extending our deduplication power and allowing us to identify all duplicate documents beyond what is possible using traditional deduplication technology. Our unique AI hash system also enabled faster insights into opposing party productions. The Lighthouse team used the system to compare newly received productions in one matter against documents previously received in other matters. Where matches were found, any issue coding one case team applied to a document was carried over and applied to new matching documents. This helped facilitate case team collaboration and a consistent legal strategy across matters. Broad Bench of Data Experts Rather than paying separate vendors for expertise in individual matters, in-house counsel and local case teams leaned on Lighthouse’s unified bench of subject matter experts—including ESI processing and hosting, advanced analytics, and review specialists. These experts worked together as a dedicated client service team, providing a uniquely holistic view of the entire array of related matters. However, individual specialists tagged in to perform work only when their expertise was needed, ensuring that the company didn’t rack up expensive invoices for consulting services they didn’t need or use. When our experts were called in to help, they were able to identify areas for greater efficiency and cross-matter consistency that would have been impossible if the client had remained with a siloed approach to each matter. For example, before review began, Lighthouse review experts counseled individual case to teams to implement a coding layout for each jurisdiction that facilitated work product reuse and consistency across matters. As new related matters come up, our experts will bring their deep institutional knowledge to continue to drive these types of unique efficiency and consistency gains. A Strategic Approach Leads to Faster Reviews and Productions Once data was migrated into the document repository, Lighthouse review experts designed one strategic review plan for all 14 matters that lowered costs and maximized data reuse and cross-matter insights. As part of this plan, Lighthouse created one national review database and separate jurisdiction-specific review databases. Then, Lighthouse experts used advanced AI and review technology to isolate a core set of 150K documents within the 11M documents housed in the repository that were most likely to be responsive across all jurisdictions. This core set was published to the national review database and fully reviewed by an experienced Lighthouse review team trained by our review managers to categorize each document for both national and jurisdictional responsiveness. After review, Lighthouse copied this strategic production set to each jurisdictional database. This approach kept hosting costs drastically lower for each individual matter, while providing all local case teams with an immediate first production, well ahead of production deadlines. Corporate Case Studyai; ai-and-analytics; analytics; artificial-intelligence; big-data; case-study; corporation; corporate; data-analytics; data-re-use; data-reuse; document-review; ediscovery; ediscovery-migration; healthcare-litigation; litigation; managed-review; prism; tar; tar-predictive-coding; technology-assisted-reviewediscovery-review; ai-and-analytics; client-successAI, ai-and-analytics, analytics, artificial-intelligence, Big-Data, Case-Study, Corporation, Corporate, data-analytics, Data-Re-use, Data-Reuse, data-re-use, document-review, eDiscovery, eDiscovery-Migration, healthcare-litigation, litigation, managed-review, Prism, TAR, TAR-Predictive-Coding, technology-assisted-review, ediscovery-review, ai-and-analytics
July 1, 2023
Case Study
Case-Study, client-success, AI, ai-and-analytics, analytics, artificial-intelligence, Big-Data, Corporation, Corporate, data-analytics, Data-Re-use, Data-Reuse, data-re-use, document-review, eDiscovery, litigation, Prism, PII, PHI, Healthcare, healthcare-litigation, PII, PHI, HIPAA-PHI, managed-review, document-review, review, TAR-Predictive-Coding, technology-assisted-review, TAR, Production, ediscovery-review, ai-and-analytics

Simplifying Complex Multi-District Document Review

A large healthcare provider faced a series of related matters requiring document review. Lighthouse designed and executed a single review workflow that provided accurate, consistent, and efficient productions. Lighthouse Managed Review Results Efficient, compliant productions across 14 matters in 9 states (and counting) Nuanced document review performed by one experienced review team, eliminating the need to train multiple review teams Case teams avoided re-reviewing 150K core documents by reusing 100K high-quality review decisions and redactions A Perfect Storm of Review Complexities A large healthcare provider was facing 14 related matters across 9 states. The initial corpus of documents numbered 11M, with each jurisdiction adding more. While each matter shared a core set of relevant issues, they all had their own unique relevancy scope and were being handled by different outside counsel and eDiscovery teams. The corpus was also littered with personally identifiable information (PII) that required identification and redaction by review teams before production. Combining Expertise and Tech to Drive Efficiency The company turned to Lighthouse because of our extensive experience working on complex document review. Our review managers developed a sophisticated workflow to reduce the number of documents requiring review and re-review across jurisdictions by leveraging advanced technology. Custom Workflow Enables Work Product Reuse To lower costs and maximize consistency across matters, Lighthouse created an overall document repository and review database, as well as separate jurisdictional databases. The team migrated all 11M documents into the document repository and used advanced AI and review technology to isolate a core set of documents that were most likely to be responsive across all jurisdictions. Our review managers efficiently worked with all outside counsel teams to validate this core set. They also suggested and implemented a coding layout for each jurisdiction to facilitate work product reuse and consistency across matters. One Skilled Review Team and Review Process for All Matters Our combination of managed review, advanced technology, and custom data re-use workflow resulted in a single document set that met all jurisdiction-specific production requirements. These documents were duplicated across all databases for immediate production in multiple matters. To get to this caliber of review, our review managers used technology to reduce the number of documents needing eyes-on review to 90K and trained an experienced review team on both universal and jurisdictional responsiveness. Technology was also used to expedite PII redaction and propagate coding to the core set of 150K documents. Unprecedented Review Time and Cost Savings With Lighthouse’s review approach, each case team had more freedom in how they structured their post-production workflows. Our approach also provided stricter control of data and enabled more accurate and predictable billing for the client. Further, all 14 matters now had an initial production ready at the push of a button. In addition to lowering costs, this gave local counsel additional time to assess case strategy, with the first production available in advance of agreed-upon deadlines. Instantaneous Initial Production for Multiple Matters Beyond the stellar review outcomes achieved across each matter, Lighthouse’s strategic workflow and use of technology also saved the client an impressive $650K—a delightful surprise to the client, who was prepared to pay more for such a complex litigation series. As new related matters arise, the client can engage a trained and experienced review team ready to hit the ground running. Corporate Case Studycase-study; ai; ai-and-analytics; analytics; artificial-intelligence; big-data; corporation; corporate; data-analytics; data-re-use; data-reuse; document-review; ediscovery; litigation; prism; pii; phi; healthcare; healthcare-litigation; hipaa-phi; managed-review; review; tar-predictive-coding; technology-assisted-review; tar; productionediscovery-review; ai-and-analytics; client-successCase-Study, client-success, AI, ai-and-analytics, analytics, artificial-intelligence, Big-Data, Corporation, Corporate, data-analytics, Data-Re-use, Data-Reuse, data-re-use, document-review, eDiscovery, litigation, Prism, PII, PHI, Healthcare, healthcare-litigation, PII, PHI, HIPAA-PHI, managed-review, document-review, review, TAR-Predictive-Coding, technology-assisted-review, TAR, Production, ediscovery-review, ai-and-analytics
March 15, 2022
Case Study
Case-Study, client-success, Corporate, Corporation, eDiscovery, fact-finding, document-review, investigations, KDI, key-document-identification, keyword-search, insurance-industry, analytics, ai-and-analytics, ediscovery-review, ai-and-analytics

Lighthouse Streamlines a Complicated False Claims Investigation

Over the course of five months, Lighthouse delivered approximately 4,500 documents for review—out of the 2.3 million document review set—for a Fortune 100 health insurance provider. The Challenge Complex internal False Claims Act investigation 2.3M total documents for review Five-month timeline and tight budget Lighthouse Key Actions Provided curated weekly deliveries of the most important, inclusive documents for review—with no redundant or duplicative versions Compiled summary reports of each delivery (including highlights of high-priority information) to expedite counsel review Out of 2.3M documents, identified and delivered just the 4,500 documents counsel needed to review in order to conduct a comprehensive legal analysis Key Results for Counsel Immediately gained a grasp on the relevant facts and timelines hidden within a massive review set—without wasting time reviewing irrelevant information Quickly developed a deeper understanding of the underlying risks and nuances of the investigation, through consistent and iterative communication with Lighthouse search experts Confidently completed the investigation on time and within budget—even after large volumes of new data were added mid-investigation A Challenging Internal Investigation into False Claims Act Violations A Fortune 100 health insurance provider was pursuing an internal investigation involving potentially improper diagnosis practices undertaken by a wholly-owned provider group. The scope of the investigation included analysis of reimbursements processed across 20+ disease categories, potentially triggering False Claims Act violations. With 2.3M documents to review, it was unclear how the internal investigation would be completed within a constrained budget and timeline. Counsel reached out to Lighthouse for help. Lighthouse Hands Counsel the Keys to a Focused, Efficient Investigation A small team of Lighthouse information retrieval, legal, data science, and linguistic experts immediately began working with counsel to understand the specific allegations at issue, as well as catalogue the various sources of data that needed to be investigated. The team then designed and executed a battery of complex searches tailored to find instances of fraud or wrongdoing related to the allegations at hand. By staying in close communication with counsel, the Lighthouse team ensured that new search requirements and data sources were quickly integrated into the workstream to support fact development. On a weekly basis, Lighthouse delivered a streamlined set of documents responding to counsel’s evolving theory of the case. These deliveries also included a detailed breakdown of the categories of documents identified each week, descriptions of relevant internal processes and policies, and flagging of high-priority documents of particular interest to counsel. Each delivery was distilled down to only the most inclusive, non-redundant versions of relevant documents. In addition to keeping pace with ongoing requests and deliverables, the Lighthouse team also re-executed previous searches to address waves of new data rolling in midway through the engagement. A Faster and More Comprehensive Investigation Resolution Over the course of five months, Lighthouse delivered approximately 4,500 documents for review—out of the 2.3 million document review set. The Lighthouse deliveries encompassed everything counsel needed to know in order to resolve their investigation—and nothing more. The team accomplished this precision through deep subject matter expertise surrounding the allegations and underlying issues at play, consistent and effective communication with counsel, expert topic-based searching, and additional proprietary data analytics to remove unnecessary duplicative content. By the end of their short engagement with Lighthouse, counsel had developed a comprehensive understanding of the pertinent risk areas and confidently completed their investigation—on time and within budget. Corporate Case Studycase-study; corporate; corporation; ediscovery; fact-finding; document-review; investigations; kdi; key-document-identification; keyword-search; insurance-industry; analytics; ai-and-analyticsediscovery-review; ai-and-analytics; client-successCase-Study, client-success, Corporate, Corporation, eDiscovery, fact-finding, document-review, investigations, KDI, key-document-identification, keyword-search, insurance-industry, analytics, ai-and-analytics, ediscovery-review, ai-and-analytics
August 15, 2022
Case Study
Case-Study, client-success, Corporate, Corporation, eDiscovery, fact-finding, document-review, investigations, KDI, key-document-identification, keyword-search, insurance-industry, analytics, ai-and-analytics, fraud-detection, ediscovery-review, ai-and-analytics

Lighthouse Uncovers Key Evidence in Fast-Paced Employee Fraud Investigation

Lighthouse experts uncover key evidence in just two weeks eliminating 97% of document set. The Challenge Complex internal investigation into potential employee fraud 627K total documents Two-week timeline Key Results for Counsel Confidently completed a complex fraud investigation in just two weeks—without fear of missing critical information Significantly mitigated risk to the company through the identification of previously unknown internal control gaps Lighthouse Key Actions Executed 22 strategic searches, based on expert analysis, to identify all relevant evidence of employee fraud and misconduct Uncovered hidden information, previously unknown to counsel, that revealed additional acts of fraud, embezzlement, and misconduct by targeted employees—as well as potentially problematic internal control gaps Out of 627K documents, identified and delivered, just the 16K documents counsel needed to review in order to conduct a comprehensive fact investigation A Complex Employee Fraud Investigation The audit division of a health insurance provider was pursuing an internal investigation involving potentially concealed employee conflicts of interest with external vendors. The allegations involved possible defrauding of the parent organization through noncompliant contract and billing practices, as well as embezzlement of membership incentives for personal use and gain. With approximately 627K documents to review on an exceptionally tight timeline of two weeks, it was unclear how a comprehensive internal investigation would be completed to ensure proper due diligence. Counsel reached out to Lighthouse for help. Lighthouse Experts Quickly Uncover Key Evidence A small team of Lighthouse information retrieval, legal, data science, and linguistic experts immediately began working with counsel to understand the specific allegations at issue. As part of this work, the Lighthouse team catalogued the various sources of data that needed to be investigated. Based on counsel’s theory of the case, the team devised eight main search themes that would enable them to find instances of fraud or wrongdoing related to the allegations at hand. Over the course of the short two-week engagement, the Lighthouse team completed 22 discrete searches with corresponding deliveries based on expert analysis of the eight priority search themes. Each delivery was distilled down to include only the most inclusive, non-redundant versions of relevant documents so counsel wasn’t bogged down by reviewing a slew of duplicative and/or irrelevant documents. Over the course of searching, Lighthouse experts quickly uncovered new key information that was previously unknown to counsel. This information revealed a picture of internal control gaps used to circumvent company policies, leading to problematic vendor contract arrangements and suspect billing practices. Separately, the Lighthouse team also uncovered details of relevant personal circumstances of targeted employees. This new information shed light on the potential motivation for bad acts, including substantial personal debt, resentment of parent company controls, and personal relationships with superiors in the management reporting structure. Significant Risk Mitigation and Faster Investigation Resolution with Lighthouse In just two weeks, Lighthouse delivered a targeted set of approximately 16K documents, out of a total 627K in the review set. The Lighthouse deliveries represented everything counsel needed to know about the possible fraudulent employee activity—including concealed information that posed significant risk to the company if it had been left undiscovered. The team was able to accomplish this precision through deep subject matter expertise regarding the fraud allegations, comprehensive metadata analysis and emotional content detection, consistent and effective communication with counsel, expert topic-based searching, and exhaustive content deduplication. With Lighthouse’s partnership, counsel quickly gained a thorough understanding of the internal controls, potential fraud, and the embezzlement issues at play—ultimately enabling them to significantly mitigate risk and complete their investigation in just two weeks. Corporate Case Studycase-study; corporate; corporation; ediscovery; fact-finding; document-review; investigations; kdi; key-document-identification; keyword-search; insurance-industry; analytics; ai-and-analytics; fraud-detectionediscovery-review; ai-and-analytics; client-success; lighting-the-path-to-better-ediscoveryCase-Study, client-success, Corporate, Corporation, eDiscovery, fact-finding, document-review, investigations, KDI, key-document-identification, keyword-search, insurance-industry, analytics, ai-and-analytics, fraud-detection, ediscovery-review, ai-and-analytics
December 30, 2021
Case Study
Case-Study, client-success, eDiscovery, TAR, TAR-Predictive-Coding, investigations, analytics, predictive-coding, privilege, privilege-review, ediscovery-review, ai-and-analytics

The Benefits of Best-in-Class Technology on a High-Stakes Matter

By partnering with Lighthouse, clients reduce their data and save millions of dollars while ensuring quality and security. What They Needed Recently, Lighthouse was brought in by the Department of Justice (DOJ) of a large western US state who had to produce data for a high-stakes, multi-million dollar breach of contract matter. The client was dissatisfied with their current eDiscovery panel and was looking for a new provider who could help centralize eDiscovery with document review, use advanced technologies to reduce data, and ensure quality and security. How We Did It To kick things off, Lighthouse and the client team met to discuss the key goals and expected outcomes of this particular case. It became very clear that the client wanted to reduce data in a defensible way and so our team of legal and technology experts got to work. At the start of the matter, our team collected and processed more than 3.5TBs of client source data (i.e. 9M documents) as well as 98K documents that had been produced by opposing counsel and 135K documents that had been produced by 22 various third parties. In addition, we collected approximately two dozen mobile devices as well as advised and assisted outside counsel on a declaration defending the process for collection and production of mobile devices. Next, we brought in the use of best-in-class technology. We leveraged our search consulting team to apply our early case assessment (ECA) tool to the data after processing, and less than 14% of the original corpus (i.e. 1.2M documents) was promoted from the ECA database. Within the ECA environment, we assisted the client with culling, search term iteration, and helped the client to develop and sample search terms for use during negotiations with opposing counsel. After agreeing upon and validating search terms with opposing counsel, the result set was promoted from ECA for review. Within the review environment, we instituted a technology assisted review (TAR) workflow to reduce the overall review population to 420K documents (a 65% reduction after applying ECA) and prepared defensibility reports for opposing counsel. Finally, we used our thread suppression technology to suppress duplicative emails. ‍ We then developed a custom automated workflow to incorporate confidential de-designation decisions from 16 co-defendants on individual documents and reproduced them. An additional 155K documents were loaded directly to review without culling. For review of the remaining ~500K records, we then implemented our managed review solution—managing a review team (provided by our trusted review partner) through a very successful first pass review, privilege review, and privilege log creation process. ‍ The Results Ultimately, the client produced 260K documents in this matter and saved significant time and money. Lighthouse was able to reduce the original corpus by more than 95% through the use of best-in-class technology and our legal, review, and technology experts. Because of the service quality, support, breadth of capabilities, and expertise exhibited during the matter, the client has since migrated several active matters from different providers to Lighthouse. ‍ Corporate Case Studycase-study; ediscovery; tar; tar-predictive-coding; investigations; analytics; predictive-coding; privilege; privilege-reviewediscovery-review; ai-and-analytics; client-successCase-Study, client-success, eDiscovery, TAR, TAR-Predictive-Coding, investigations, analytics, predictive-coding, privilege, privilege-review, ediscovery-review, ai-and-analytics
April 1, 2022
Case Study
Case-Study, client-success, Corporate, Corporation, eDiscovery, TAR, TAR-Predictive-Coding, ai-and-analytics, -analytics, predictive-coding, healthcare-litigation, Healthcare, Processing, machine-learning, ediscovery-review

Lighthouse Achieves Review Efficiency and Cost Control for a Global Healthcare Company

Lighthouse partners with a healthcare company, saving $145K in document review costs after reducing review time by 90% through a custom review process. How We Did It Initial Processing Lighthouse used our proprietary processing automation to ingest, load, and deduplicate a total of 690K documents. Our deduplication process was able to immediately achieve a 25% data reduction by removing 175K documents. ECA Culling and Search Term Iteration Results Next, Lighthouse applied our customized culling and search term iteration processes to the 143K eligible documents and families. This process removed 81K documents, reducing the review population by over 55%. Thread Suppression and Proprietary Review Technology Results Lighthouse then implemented a customized workflow that combined email thread suppression with our proprietary review technology to identify the most unique documents. This process removed a total of 31K documents from the review population, thereby reducing the review population by another 50%. Lighthouse TAR and Advanced Analytic Results After the culling process, Lighthouse’s Review & Advanced Analytics team guided counsel through a Continuous Active Learning TAR workflow to find relevant documents. Once we reached a point of diminishing returns, we leveraged advanced analytics such as clustering, categorization, and concept search to ensure that no relevant documents were left behind. Our TAR and advanced analytics removed 17K documents, representing another 50% in data reduction. Corporate Case Studycase-study; corporate; corporation; ediscovery; tar; tar-predictive-coding; ai-and-analytics; analytics; predictive-coding; healthcare-litigation; healthcare; processing; machine-learningediscovery-review; client-successCase-Study, client-success, Corporate, Corporation, eDiscovery, TAR, TAR-Predictive-Coding, ai-and-analytics, -analytics, predictive-coding, healthcare-litigation, Healthcare, Processing, machine-learning, ediscovery-review
February 1, 2023
Case Study
Case-Study, client-success, AI, ai-and-analytics, AI-Big-Data, Corporate, Corporation, eDiscovery, eDiscovery-Migration, Prism, Processing, Project-Management, Healthcare, ediscovery-review, ai-and-analytics

Lighthouse Uses AI to Complete a Seamless, Customized Data Migration

Lighthouse's proprietary AI technology solves a unique data deduplication challenge while migrating over 25 terabytes for an extensive healthcare system. Key Results In 5 months, Lighthouse migrated four databases—with 25 TBs of data—all while keeping the databases active for review and production for current matters. Leveraging our AI technology, Lighthouse created an innovative solution for a large volume of Lotus Notes files originally processed as HTML files by a legacy processing tool. This solution ensured that any new Lotus Notes files would deduplicate against the migrated data, regardless of the file type or the tool used for processing. A Challenging Data Deduplication Problem A large healthcare system had been hosting its data (over 25 TBs of data across four databases) on another vendor’s platform for nearly a decade. The company knew it was time to modernize its eDiscovery program with Lighthouse. In order to do so, all 25 TBs would need to be migrated over to Lighthouse for hosting and future processing. However, in addition to data migration, the company also had a unique deduplication challenge due to the previous vendor’s original processing tool. The company’s data had originally been processed with the vendor’s legacy processing tool—which processed Lotus Notes data as HTML files, rather than the more modern EML version. The prior processing of these files into an HTML format meant that whenever duplicate Lotus Notes files were added to the database and processed using a more modern processing tool, those EML files would not deduplicate against the older HTML files in the databases. With over half their data consisting of Lotus Note files processed by the older tool in HTML format, the company was concerned that this issue would significantly increase review cost and slow down review time. Thus, in addition to the overall migration process, the company came to Lighthouse with an unfortunate Catch-22: in order to modernize its processing and eDiscovery capabilities, it was losing the ability to deduplicate a majority of its data with each new ingestion. Lighthouse Migration Expertise Because of the volume of new clients moving to Lighthouse for eDiscovery support, Lighthouse has developed an entire practice group dedicated to data migration. This group is adept at creating customized solutions to the unique challenges that often arise when migrating data out of legacy systems. The team works closely with each client to understand the scope, types of data, challenges, and future needs so that the data migration process is seamless and efficient. The Lighthouse migration team quickly got to work gathering information from the healthcare company to start this process, paying particular attention to the Lotus Notes deduplication issue. Once all relevant information was gathered, Lighthouse worked with stakeholders from the organization to form a comprehensive migration plan that minimized workflow disruption and included a detailed schedule and workflow for future data. In the process, Lighthouse also developed a custom solution for the Lotus Notes issue using our proprietary AI technology. An Innovative Solution: Lighthouse AI Lighthouse’s advanced AI technology can create a unique hash value for all data, no matter how it was originally processed. The Lighthouse migration team leveraged this innovative technology to create a unique hash value for the Lotus Notes files that were originally processed as HTML files. That hash value could then be matched against any new Lotus Notes files that were added to the database by the company, even when those files were processed as EML files. With this proprietary workflow, the healthcare company was able to seamlessly move to Lighthouse’s eDiscovery platform, which was better equipped to serve its eDiscovery needs—without losing the ability to deduplicate its data. Set Up for Success In just five months, Lighthouse completed a seamless migration of the healthcare company’s data by creating a custom migration plan that minimized blackouts and kept all databases up and running. Importantly, Lighthouse also leveraged its proprietary AI to create an innovative solution to a complex problem, ensuring continued deduplication capability and reduced discovery costs. ‍ Corporate Case Studycase-study; ai; ai-and-analytics; ai-big-data; corporate; corporation; ediscovery; ediscovery-migration; prism; processing; project-management; healthcareediscovery-review; ai-and-analytics; client-successCase-Study, client-success, AI, ai-and-analytics, AI-Big-Data, Corporate, Corporation, eDiscovery, eDiscovery-Migration, Prism, Processing, Project-Management, Healthcare, ediscovery-review, ai-and-analytics
November 15, 2021
Case Study
Case-Study, client-success, eDiscovery, self-service, spectra, Spectra, analytics, Processing, managed-review, document-review, review, Law-Firm, ediscovery-review

Top-Ten Global Law Firm Overcomes Budgetary Challenges

Top ten global law firm revitalizes their eDiscovery program with Lighthouse Managed Services for one predictable, recurring price. What They Needed After years of carrying hefty infrastructure costs and operating with limited access to emerging eDiscovery solutions, one of the ten largest law firms globally decided to look for a new eDiscovery partner that could advance their existing eDiscovery program without the burden of unpredictable, piecemeal pricing and sub-par technology. In particular, the firm was interested in a predictable cost model that would provide them with access to forensics, information governance, and eDiscovery experts as well as innovative new analytic and chat technology. To further complicate things, they had less than two months to migrate all of their existing data to the newly selected vendor before they would have to renew payments with their existing vendor. How We Did It Lighthouse Managed Services was a natural fit for this cutting-edge client. We were selected as the firm’s eDiscovery provider because it was clear we could provide a wide-range of subject-matter experts, access to best-in class technology (particularly our proprietary Spectra ® and SmartSeries ™ , as well as third-party tools like Nuix, Relativity, and Brainspace) and deliver within their tight timeline requirements – all for one predictable, recurring price. After the selection process, Lighthouse immediately tackled the migration of over 130 cases and ~13 TB of the firm’s data from their existing vendor’s environment to the Lighthouse environment within the 45-day requirement. Once the cases were restored, we worked with the firm to develop custom workflows that would allow the new data to flow through active migrated matters seamlessly without loss of deduplication, matter-level settings, or work product. We then developed a comprehensive eDiscovery playbook for our client detailing customized, repeatable, and defensible eDiscovery processes for every stage of the EDRM. We also began technology training sessions to allow our client to effectively utilize their access to tools like Relativity and Brainspace, as well as our proprietary Spectra and SmartSeries technology. Further, Lighthouse developed a custom Relativity template to ensure the user experience in Relativity mirrored the law firm’s workflows for continuity. We scheduled bi-weekly meetings with the Lighthouse Product Development team to keep the firm’s team abreast of new features on the horizon as well as allow the firm an opportunity to influence the overall product roadmap. All of this work was completed under a predictable, recurring pricing model, with custom reports around the firm’s matters and metrics. Results Overall, Lighthouse Managed Services surpassed of all the firm’s expectations – completely revitalizing their eDiscovery program for one predictable pricing model. We successfully completed the entire data migration within 45 days, without any disruption to case teams. Once migrated, our client was elated with the access Lighthouse provided to the best technology on the market, as well as the comprehensive training we offered their teams which enabled them to leverage these tools more effectively. In particular, Spectra enabled the firm to administer matters autonomously while getting data into a review platform at a much greater speed than ever before. Since the time of the launch, this client has started over 90 new matters in Spectra, leveraging the analytics, predictive coding, automated redaction, privilege log creation, and chat messaging tools that make our self-service solution the best in its class. Providing all these comprehensive services under a recurring, predictable processing model allowed this client to successfully manage cost recovery and integrate with their client billing seamlessly. Law Firm Case Studycase-study; ediscovery; self-service, spectra; spectra; analytics; processing; managed-review; document-review; review; law-firmediscovery-review; client-success; lighting-the-path-to-better-ediscoveryCase-Study, client-success, eDiscovery, self-service, spectra, Spectra, analytics, Processing, managed-review, document-review, review, Law-Firm, ediscovery-review
June 1, 2021
Case Study
Big-Data, Case-Study, collections, eDiscovery, digital forensics, Law-Firm, Processing, Production, Project-Management, ediscovery-review, digital forensics

Big Data, Impossible Timeline, Successful Results

Lighthouse collected, processed, and imaged 550 GB of data in less than 96 hours, saving a client from an eight-figure sanction. What They Needed Lighthouse’s client, an Am Law 100 firm, had to respond to a request for production in a highly sensitive matter. The client originally contracted another eDiscovery service provider for collection, processing, and production. Much of the collected data was corrupt and the other service provider was unable to handle a large majority of the data. Facing an eight–figure sanction if the production deadline was missed, the client abandoned their provider and contacted Lighthouse. Lighthouse had 14 days to resolve corrupt data, process the data, identify and segregate the already reviewed data, provide the unreviewed data for review, and produce the responsive data. Complicating matters even further, the data set was sizeable—550GBs—and the client needed at least a week to review the data before production. How We Did It Collect, Analyze, Repair A close inspection of the data revealed that another on-site collection would be necessary in order to deal with the corrupt data. On February 9, two forensic experts from Lighthouse collected three email exchange servers totaling 550 gigabytes. Lighthouse was able to repair some of the corrupt data; however, some data was corrupt at the source. This corrupt data could not interfere with the production to the government so Lighthouse processed the non-corrupt data overnight. The client then requested additional searching and culling for a specific list of custodians. Reduce, Process, Deliver As a result of the way the data was stored, Lighthouse had to navigate through a large number of files to identify the data belonging to the list of custodians. Ultimately, Lighthouse was left with 245 gigabytes which it further culled and filtered. Lighthouse’s experts then segregated 8,000 documents that the client previously reviewed so that the client did not have to waste time re-reviewing these documents. With the deadline looming, Lighthouse immediately imaged the documents for review. Lighthouse provided client with just over 25,000 images for review on February 13. Results As a result of Lighthouse’s speed and ability to handle the corrupt data, the client avoided an eight-figure sanction. In a matter of 96 hours, Lighthouse forensically collected 550 gigabytes from three email exchange servers, extracted 245 gigabytes from those servers, identified 8,000 documents in a corrupted media environment, and imaged over 25,000 documents. Law Firm Case Studybig-data; case-study; collections; ediscovery; forensics; law-firm; processing; production; project-managementediscovery-review; digital forensics; client-successBig-Data, Case-Study, collections, eDiscovery, digital forensics, Law-Firm, Processing, Production, Project-Management, ediscovery-review, digital forensics
June 25, 2021
Case Study
Case-Study, client-success, eDiscovery, self-service, spectra, Spectra, ai-and-analytics, analytics, Processing, TAR-Predictive-Coding, technology-assisted-review, TAR, Law-Firm, ediscovery-review,

Law Firm Goes from Keeping Up to Getting Ahead with New In-House eDiscovery Software

A prominent law firm leveraged a cloud-based software solution to increase efficiency and scale, resulting in significant costs savings. What They Needed A mid-sized East Coast law firm­—known for its expertise and experience in complex and high-stakes matters—was looking for new software to replace its in-house legacy technology. Their in-house tool did not provide the level of sophistication or throughput the team needed to continue to scale their work for their clients. In assessing their potential new partner, the firm required access to best-in-class technology, in particular Relativity and Nuix, as the firm’s employees were already familiar with these platforms. In addition, they wanted to leverage automation to have repeatable processes that would save both themselves and their clients time and money. ‍ How We Did It Lighthouse Spectra was selected for its simple and intuitive interface that allows users to internally manage client matters across best-in-class technology – including Relativity, Nuix, and even Brainspace. With Spectra, the firm can now start matters immediately, without having to go through the vendor solicitation and/or statement of work processes, creating real time savings. And the monthly subscription price for Spectra gave them more transparency around billing and greater cost control to help them stay within their budget. The onboarding and training processes were quick, due to the experience of the internal team coupled with the ease of use of Spectra’s. After the initial deployment of Spectra, the firm started processing client data through the tool immediately. They were able to get these matters through processing (Nuix) to review (Relativity) within a few hours, rather than an entire day or more, as was typical with their previous in-house solution. We can go from soup to nuts without having to reinvent the wheel each time. It is truly self-service. — Law Firm The Results Soon after onboarding, the firm took on a couple quick-turn and complex matters that they were able to handle more quickly due to the speed and scale of Spectra, as well as the support of Spectra team. In one instance, they received a request late in the work day that needed to be turned around within a short period of time. Prior to deploying Spectra, that would have taken some hands-on experience and a day’s worth of time. With Spectra, they were able to process it as soon as they received it and it was available for review within a few short hours. In another instance, the firm received a request with a pressing deadline where the document set consisted of approximately 95% foreign-language text. Quickly translating the text to English was imperative to firm’s success. To solve this problem, the Spectra team pointed the firm to a machine language translation tool that easily integrates with Spectra. By deploying the integrated translation service on the workspace, documents submitted for translation were loaded back into the workspace as easily as if it was performing a mass edit. This provided an easy solution for the firm for this particular matter, and now that it’s integrated, the feature is available to the firm on demand. By moving to Spectra, the law firm was able to leverage best-in-class technology, gain more transparency and control around the entire eDiscovery process, and create efficiencies and therefore, reduce costs for themselves and their clients. Leveraging Spectra, the law firm can now do more with less and scale their business to support their clients’ growing needs. ‍ Law Firm Case Studycase-study; ediscovery; self-service, spectra; spectra; ai-and-analytics; analytics; processing; tar-predictive-coding; technology-assisted-review; tar; law-firmediscovery-review; client-successCase-Study, client-success, eDiscovery, self-service, spectra, Spectra, ai-and-analytics, analytics, Processing, TAR-Predictive-Coding, technology-assisted-review, TAR, Law-Firm, ediscovery-review,
February 1, 2022
Case Study
Case-Study, client-success, financial-services-industry, Corporate, Corporation, eDiscovery, self-service, spectra, Spectra, analytics, ediscovery-review

Penningtons Manches Cooper Takes Control of their eDiscovery Process with Lighthouse Spectra

With Spectra, Penningtons Manches Cooper accelerated their ediscovery workflow and created a more efficient and cost-effective process. What They Needed Penningtons Manches Cooper LLP, a leading UK and international law firm, was looking for an innovative solution to enable more efficient and cost-effective management of their increasing eDiscovery needs. At the same time, they also wanted a solution that would not require a large investment in hardware, additional personnel, or training. When the team at Penningtons Manches Cooper reached out to Lighthouse about their needs, we suggested Spectra, our cloud-based, self-service eDiscovery solution that would enable the team at Penningtons Manches Cooper to easily run their matters in a more efficient and predictable manner. Additionally, the team at Penningtons Manches Cooper also wanted the option of leveraging experienced, knowledgeable, and on-demand assistance as required. Because Spectra offers the ability to seamlessly transition a matter from self-service to Lighthouse’s full-service team of eDiscovery experts, it provided the Penningtons Manches Cooper team a level of reassurance that there would always be help on hand should it be needed. The team at Penningtons Manches Cooper agreed that Spectra was the right eDiscovery solution for them. How They Did It Penningtons Manches Cooper partnered with Lighthouse to deploy Spectra, which was implemented within three months from initial proof of concept to rollout with live matters. Primary areas of focus during the implementation were training, process design, and internal change management. The project began with roundtable sessions to fully understand the scope and ensure that deployment was customized to fit Penningtons Manches Cooper’s requirements, deliverables, and goals. And because Spectra is a cloud-based solution, there was no capital expenditure or additional IT resourcing required for implementation. This allowed for a flexible approach, fast implementation, and low ongoing maintenance for Penningtons Manches Cooper. Once the tool was initially implemented, the team at Penningtons Manches Cooper identified a suitable matter to be used in a proof of concept. Lighthouse trained key Penningtons Manches Cooper personnel on how to use Spectra, and together the two teams worked to create a scalable and repeatable workflow for particular work types. All items were recorded in a bespoke playbook, which fully documents Spectra’s capabilities and process as well as specific Penningtons Manches Cooper requirements. Next, Lighthouse provided training to the wider Penningtons Manches Cooper team on Spectra, Brainspace, and Lighthouse’s proprietary SmartSeries® tools to enable the firm to leverage automated redaction, chat, and other emerging solutions. Due to the simplicity and on-demand nature of Spectra, the team at Penningtons Manches Cooper was able to realize a 1 to 4-hour reduction in the time it takes to create a matter and upload data into Relativity. Further, Lighthouse developed a custom Relativity template. to ensure the user experience in Relativity is mirrored across matters and complements the firm’s workflows. Following the successful trial period, Penningtons Manches Cooper has identified and managed many other matters in Spectra with very little external support. Setup of each new matter has been reduced significantly, in some circumstances by up to 2-3 days, as there has been a significant reduction in the number of steps required to instruct external eDiscovery vendors, including no need to gather price proposals, no delay while vendors run conflict checks, and no need for any additional contract negotiation. As a consequence, each legal team was typically able to begin reviewing documents on the same day the data was received by the firm. In conjunction with the above, predictable and recurring billing practices were implemented and custom reports were developed around the firm’s matters and metrics. This, in turn, will allow Penningtons Manches Cooper to manage cost recovery and integrate billing for a more seamless and efficient process. The Results Penningtons Manches Cooper partnered with Lighthouse to roll out Spectra, which enabled their team to control the process from the very start and create efficiency and predictability of cost and process. By using Spectra, the team at Penningtons Manches Cooper was able to create matters in Relativity and Brainspace as well as upload and process data quickly, all within a simplified and intuitive interface. The use of best-in-class technology, combined with repeatable process and in-house expertise, created a tangible benefit, ensuring eDiscovery and document review are completed with minimal cost, a savings which can be passed on directly to the client. Law Firm Case Studycase-study; financial-services-industry; corporate; corporation; ediscovery; self-service, spectra; spectra; analyticsediscovery-review; client-successCase-Study, client-success, financial-services-industry, Corporate, Corporation, eDiscovery, self-service, spectra, Spectra, analytics, ediscovery-review
December 1, 2022
Case Study
Case-Study, Corporate, Corporation, eDiscovery, self-service, spectra, Spectra, ai-and-analytics, analytics, Processing, TAR-Predictive-Coding, technology-assisted-review, TAR, Healthcare, ediscovery-review

Fortune 500 Company Saves $500K+ with New In-House eDiscovery Software

Lighthouse Spectra helps a considerable healthcare organization gain control, pricing transparency, and efficiency gains in the eDiscovery process. What They Needed A large healthcare organization was looking to solve their eDiscovery challenges around speed and cost. Specifically, they needed to increase their overall efficiency, and have more control over their matters with truly transparent and lower ediscovery-related costs. How We Did It Lighthouse Spectra was chosen to help achieve these key goals. Spectra is a self-service, on-demand eDiscovery tool with a transparent subscription-based pricing model. Spectra users can also access a full-time project management team at Lighthouse, whenever needed – all for one predictable price. Spectra onboarding was tailored to the users’ needs and focused on teaching users how to use Spectra itself, as well as when and how to use Brainspace, an analytics engine available inside the platform. Since Spectra is built with an intuitive interface, it only took a few short trainings over the course of a few weeks for the users to become comfortable using it. The Lighthouse team also ensured that Relativity and Spectra were customized to the organization’s specific needs. Our teams ensured that all customized permissions and views were set up within Relativity and worked with the organization to create custom Relativity templates to apply their standard coding pallets, rule-based coding propagations, pre-baked saved searches, standard views/layouts, imaging profiles, and more. Additionally, the Lighthouse team also assisted in building a continuous multi-model learning (CMML) workflow for their team to leverage within Spectra. Once set up was complete, the organization immediately started leveraging Spectra to process their data and run search terms as needed on a variety of diverse case types, including labor and employment cases, internal investigations, and OIG requests. The Results By moving to Spectra, the healthcare organization gained more control over their eDiscovery processes, created more efficient workflows, and achieved significant cost savings with transparent and predictable pricing. Since deploying the tool, the organization found that using the search and analytics capabilities of Spectra reduced the volume of natives to just 4.5% of the total hosted volume, minimizing the count of documents being reviewed by 95%. The custom Relativity template prevents the need to reinvent the wheel with each new matter and drive consistency across their portfolio. Further, the CMML workflow allows the organization to prioritize review of documents that are most likely to be responsive, as well as minimize the number of documents that go to review. Both of these enhancements allowed the organization to increase their overall speed from collection to production while lowering their overall eDiscovery-related costs. Through these new workflows and processes, the healthcare organization has achieved both defensibility and affordability and reduced review time from days to hours. This has resulted in an overall savings of $500K in their first year with Spectra.\ Corporate Case Studycase-study; corporate; corporation; ediscovery; self-service, spectra; spectra; ai-and-analytics; analytics; processing; tar-predictive-coding; technology-assisted-review; tar; healthcareediscovery-review; client-successCase-Study, Corporate, Corporation, eDiscovery, self-service, spectra, Spectra, ai-and-analytics, analytics, Processing, TAR-Predictive-Coding, technology-assisted-review, TAR, Healthcare, ediscovery-review
February 1, 2023
Case Study
Case-Study, client-success, Antitrust, eDiscovery, TAR, TAR-Predictive-Coding, Law-Firm, HSR-Second-Requests, investigations, Mergers, ai-and-analytics, AI-Big-Data, artificial-intelligence, AI, Acquisitions, analytics, predictive-coding, Prism, privilege, privilege-review, name-normalization, microsoft, Emerging-Data-Sources, digital forensics, collections, ediscovery-review, ai-and-analytics, antitrust, chat-and-collaboration-data

Global Law Firm Partners with Lighthouse to Save Millions During Government Investigation

Lighthouse partners with a global law firm to meet a 60-day production deadline for an 11.5 million-document population, saving the firm millions. What They Needed A global law firm was representing a large analytics company being investigated by the Federal Trade Commission (FTC) for antitrust activity. The company faced an extremely aggressive production deadline—approximately 60 days to collect, review, and produce responsive documents from an initial data population of roughly 11.5M. How We Did It The firm partnered with Lighthouse to create a workflow to execute multiple work streams simultaneously (collections, processing, TAR, privilege review, and logging) to ensure the company could meet the production deadline. Lighthouse expert teams managed the entire process, implementing daily standup calls and facilitating communication between all stakeholders to ensure that each workflow was executed correctly and on time. Lighthouse clients that leverage our AI technology to its full potential can realize even more cost savings and efficiency. For example, in this case, this global law firm would have seen the removal of close to 420K documents from privilege review that our AI accurately (as verified in the qc process) deemed to be highly unlikely or unlikely to be privilege. The Lighthouse team also provided strategic and defensible review methods to attack data volume and increase overall efficiency throughout the project. This included Technology Assisted Review (TAR) and email thread suppression in combination with our proprietary AI-technology and privilege log application. The different work streams that Lighthouse designed and executed to reduce the time, burden, and expense of review included: Lighthouse Forensic Collection : Lighthouse’s dedicated expert forensic team implemented a workflow to perform all initial collections, as well as all refresh collections across M365 mailboxes, Teams data, OneDrive, and SharePoint. TAR 1.0 : Lighthouse implemented predictive coding via a TAR 1.0 workflow to systematically find and remove non-relevant documents in a defensible manner. Not relevant documents that fell below the cutoff score were removed from the review population to reduce privilege review. Non-TAR Review : A detailed file analysis was conducted on documents that could not be scored via the TAR model by Lighthouse experts to remove non-responsive documents from eyes-on responsiveness review. Email Threading : Once TAR 1.0 reached stability and a cutoff score was achieved, Lighthouse applied email thread suppression on the documents above the cutoff score to further decrease privilege review and the production set overall. Managing Teams data : The Lighthouse team leveraged our proprietary chat tool to deduplicate Microsoft Teams data. Using the tool, the team stitched Teams messages back together in a format that allowed outside counsel to easily see the conversation in totality (e.g., who was part of the thread, who entered/left the chat room, who said what, at what time, etc.). The tool then integrated and threaded chat messages with search and filtering capabilities for review directly in Relativity. Privilege Review : Even as collections, TAR 1.0, email threading, and document review workflows were ongoing, the Lighthouse advanced analytics team leveraged technology in combination with their expertise to drastically reduce the privilege review set and guard against inadvertent production of privileged documents: Lighthouse Strategic Privilege Reduction : Lighthouse data reduction experts worked with outside counsel to analyze the data to identify large categories of documents that could be safely removed from privilege review, such as two large tranches of calendar items that were pulled into the privilege review. Lighthouse also ran a separate header-only privilege screen across and located a pattern in the privilege hits, which outside counsel confirmed were not privileged and removed from privilege review. AI-enabled Privilege QC : To minimize risk and increase efficiency of privilege review, Lighthouse deployed our advanced AI-technology, which uses multiple algorithms to analyze the text and metadata of documents, enabling highly accurate privilege predictions. First, it analyzed the entire review workspace and identified additional privileged documents that were not picked up by the conventional privileged screen approach. Then, the tool was utilized in privilege review QC workflows where it helped reviewers overturn first and second level privilege calls. Privilege logging application : Lighthouse also leveraged our privilege logging application to automate privilege log generation, saving outside counsel significant time and driving consistent work product in creating their privilege log. The Results Lighthouse forensic collection collected roughly 11.5M documents from more than 600 unique datasets and over 90 custodians, spanning M365 mailboxes, Teams data, OneDrive, and SharePoint sources. Lighthouse’s TAR 1.0 workflow then dramatically reduced the document population for privilege review, ultimately removing over 6M documents in full families from review, thereby delivering a savings of nearly $6.2M. The Lighthouse team’s detailed file analysis of non-TAR universe resulted in an additional 640K files removed from responsiveness review—encompassing close to a 90% reduction in the non-TAR review volume and delivering a savings of roughly $640K. Our email thread suppression process then removed another 1.1M documents from review (for a savings of $1.1M), while the Lighthouse proprietary chat tool removed over 63K Teams items and generated over 200K coherent transcript families from 1.3M individual messages. Law Firm Case Studycase-study; antitrust; ediscovery; tar; tar-predictive-coding; law-firm; hsr-second-requests; investigations; mergers; ai-and-analytics; ai-big-data; artificial-intelligence; ai; acquisitions; analytics; predictive-coding; prism; privilege; privilege-review; name-normalization; microsoft; emerging-data-sources; forensics; collectionsediscovery-review; ai-and-analytics; antitrust; chat-and-collaboration-data; client-successCase-Study, client-success, Antitrust, eDiscovery, TAR, TAR-Predictive-Coding, Law-Firm, HSR-Second-Requests, investigations, Mergers, ai-and-analytics, AI-Big-Data, artificial-intelligence, AI, Acquisitions, analytics, predictive-coding, Prism, privilege, privilege-review, name-normalization, microsoft, Emerging-Data-Sources, digital forensics, collections, ediscovery-review, ai-and-analytics, antitrust, chat-and-collaboration-data
April 1, 2023
Case Study
Case-Study, client-success, Antitrust, eDiscovery, TAR, TAR-Predictive-Coding, Law-Firm, HSR-Second-Requests, investigations, Mergers, ai-and-analytics, AI-Big-Data, artificial-intelligence, AI, Acquisitions, analytics, predictive-coding, Prism, privilege, privilege-review, tech-industry, ediscovery-review, antitrust, ai-and-analytics

Saving Millions in a Demanding HSR Second Request

Cleary Gottlieb and Lighthouse save millions of dollars and thousands of hours in HSRs Second Request for Fortune 500 company. What They Needed A global Fortune 500 electronics company received an HSR Second Request from the Department of Justice (DOJ), with an extremely aggressive timeline to reach substantial compliance. They engaged Cleary Gottlieb (“Cleary”), a global technology-savvy and innovative law firm with extensive experience handling challenging Second Requests. After Cleary led negotiations with the DOJ to reduce the scope of the investigation, the client was faced with 3.3M documents to review—a significant subset of which included CJK language documents that would require expensive and time-consuming translation. To further complicate matters, the DOJ and Cleary remained engaged in ongoing scope negotiations, resulting in additional data being added throughout the project. Cleary knew that conventional TAR technology was not capable of evaluating a dataset with ever-changing review parameters. How Cleary and Lighthouse Did It CJ Mahoney, counsel and head of the eDiscovery and litigation technology group at Cleary, has extensive experience working on complex HSR Second Requests and has pioneered a number of different analytics-driven methods to reach substantial compliance in the past. Based on prior joint success in innovating new ways to use this technology to improve privilege analytics, CJ immediately saw the potential of Lighthouse’s proprietary AI technology for this challenge. Together, CJ and the Lighthouse data scientists developed a unique training workflow to achieve highly precise responsive prediction results on this challenging dataset. CJ secured the DOJ’s first-ever approval of this workflow with Lighthouse’s proprietary AI technology. Immediately after approval, responsive and privilege analysis and review began simultaneously, enabled by AI technology. For responsiveness, the teams utilized an active learning TAR workflow wherein subject matter experts reviewed a control set of randomly selected documents. After only a few training rounds, the system reached stability and began scoring the remaining dataset for responsiveness. A privilege classifier was built based on 20K previously confirmed privilege calls and applied to score all documents in the privilege workspace. The teams used a combination of the analytic results and privilege terms to identify potential privileged documents. All documents within this set that were scored as “highly likely to be privileged” were immediately routed to reviewers for review and privilege logging. Conversely, documents scored as “unlikely to be privileged” were removed from privilege review after Cleary’s attorneys verified the accuracy of the results using a random sample. Further, the teams used the privilege classifier to identify additional privilege documents that had not hit on privilege terms. As the timeline for substantial compliance approached, negotiations with DOJ regarding relevant timeframes and custodians continued, resulting in the near-constant addition and removal of documents from the dataset. The Lighthouse and Cleary teams managed the ever-changing dataset with ease using the Lighthouse technology and workflow developed by the teams. The Results Using a specialized TAR workflow leveraging advanced AI, the teams delivered highly accurate responsive classification, resulting in more than 500K (or more than 40%) fewer documents requiring further review and production to the DOJ, when compared to legacy TAR tools. By creating a smaller volume of documents requiring production, the amount of privilege and foreign language review was also lessened. For example, 120K fewer foreign language documents were included in the final responsive set compared to legacy TAR tool results. This reduction of review and translation saved approximately $1M alone. For the client, the smaller responsive set meant faster production turnaround times, lower overall costs, and risk mitigation through the decreased chance for inadvertent production of non-responsive documents. The Lighthouse and Cleary partnership resulted in the removal of 200K documents from privilege review beyond what could have been possible through conventional methods, leading to cost savings of $1.2M and time savings of 8K review hours. The team further mitigated risk to the client by identifying privilege documents that did not hit on standard privilege terms. The Cleary and Lighthouse partnership resulted in substantial compliance with the HSR Second Request, increased risk mitigation, faster document review, and remarkable savings for the client. Law Firm Case Studycase-study; antitrust; ediscovery; tar; tar-predictive-coding; law-firm; hsr-second-requests; investigations; mergers; ai-and-analytics; ai-big-data; artificial-intelligence; ai; acquisitions; analytics; predictive-coding; prism; privilege; privilege-review; tech-industryediscovery-review; antitrust; ai-and-analytics; client-success; lighting-the-path-to-better-ediscoveryCase-Study, client-success, Antitrust, eDiscovery, TAR, TAR-Predictive-Coding, Law-Firm, HSR-Second-Requests, investigations, Mergers, ai-and-analytics, AI-Big-Data, artificial-intelligence, AI, Acquisitions, analytics, predictive-coding, Prism, privilege, privilege-review, tech-industry, ediscovery-review, antitrust, ai-and-analytics
May 15, 2023
Case Study
Case-Study, client-success, AI, ai-and-analytics, analytics, artificial-intelligence, Big-Data, Corporation, Corporate, data-analytics, Data-Re-use, Data-Reuse, data-re-use, document-review, eDiscovery, litigation, Prism, privilege, privilege-review, PII, PHI, Pharma, ediscovery-review, ai-and-analytics

Lighthouse AI and Analytics Drive Unprecedented Savings Across Multiple Matters

A global pharmaceutical company leverages Lighthouse's AI-powered analytics to reduce legal spending, increase efficiency, and decrease risk in their matters. Driving Value on Individual Matters The pharmaceutical company first came to Lighthouse for better, faster review for a single matter. Leveraging our unparalleled range of advanced analytics accelerators, our experienced review managers and expert consultants created a custom review workflow that significantly reduced data volume, expedited review, and increased the accuracy of data classification. Individual Matter Review Workflow and Metrics Driving Value Across All Matters Based on the results from the first matter and Lighthouse’s ability to attain even more review efficiency by connecting matters, the company sent additional matters to Lighthouse. Applying advanced AI across the company’s matters resulted in deeper matter insights and upleveled the accuracy of classification models in ways that that would be impossible on one single matter. As each new matter is added, Lighthouse AI identifies data that overlaps with past and concurrent matters. This has two impacts at the outset: 1) significant processing cost savings and unprecedented 2) early insights into new matters. These insights empower counsel to make more strategic, data-backed decisions from the start, leading to extraordinary downstream efficiencies and significantly reduced risk. For example, across five currently connected matters for the company, Lighthouse AI showed that: “Outside Counsel A” email domains were coded privileged over 95% of the time. Emails with a government email domain on the communication were coded privilege 15% of the time. 20K documents of Custodian B were collected and processed across multiple matters, but only 10 documents were ever actually reviewed. Custodian C’s documents were reviewed and produced across multiple matters, with a 0% privilege rate. Lighthouse AI-powered insights and connections supercharge the efficiency, accuracy, and consistency for each subsequent matter. Past attorney work product and metadata are used to reduce the need for eyes-on review and improve the consistency and accuracy of review for responsiveness, privilege, PII, confidentiality, redactions, and more. Driving Value into The Future The efficiency and risk mitigation benefits continue to grow for the pharmaceutical company with each new matter. A true big data technology, the more data Lighthouse advanced analytics ingests, the deeper and more nuanced its decision-making and insights become. Opportunities for data and attorney work product re-use will also grow with each new matter ingested, amplifying the company’s ROI into the future. Corporate Case Studycase-study; ai; ai-and-analytics; analytics; artificial-intelligence; big-data; corporation; corporate; data-analytics; data-re-use; data-reuse; document-review; ediscovery; litigation; prism; privilege; privilege-review; pii; phi; pharmaediscovery-review; ai-and-analytics; client-success; lighting-the-path-to-better-ediscoveryCase-Study, client-success, AI, ai-and-analytics, analytics, artificial-intelligence, Big-Data, Corporation, Corporate, data-analytics, Data-Re-use, Data-Reuse, data-re-use, document-review, eDiscovery, litigation, Prism, privilege, privilege-review, PII, PHI, Pharma, ediscovery-review, ai-and-analytics
May 15, 2023
Case Study
Case-Study, client-success, Big-Data, Cloud-Migration, cloud, Cloud-Services, Corporate, Corporation, Emerging-Data-Sources, Information-Governance, eDiscovery, microsoft, Legacy-Data-Remediation, microsoft, risk-management, Record-Management, financial-services-industry, microsoft-365, information-governance

Meeting Compliance Burden for Financial-Sector Giant

Lighthouse helps global British bank resolve critical risks during a major technology overhaul. Key Actions Microsoft referred Company to Lighthouse to address eDiscovery needs within Microsoft 365 (M365) Lighthouse assembled a team whose members had former expertise gained from stakeholder departments that were affected by the unresolved needs Key Results Compliance risks were successfully remediated using native M365 tools The Company used its new platform to avoid the need for add-on services or vendors What They Needed M365 Implementation Yields Data Risk Management As one of the nation’s largest financial institutions, the Company’s move to M365 required exceptional time and care—further complicating compliance requirements for record-keeping, data protection, and regulated conduct, and ultimately placing demands on M365 that created uncertainty of whether the platform could be resolved. The complex compliance requirements fueled an internal audit, revealing several risks related to the Company’s management of unstructured data, including its practices for retention, deletion, preservation, and protection of sensitive information. The Company asked Microsoft for help—and Microsoft referred the Company to Lighthouse. Tight Deadlines, Exceptional Solutions Lighthouse was tasked to explore whether M365’s native information governance (IG) and eDiscovery tools could address the risks identified in the audit. The team launched a series of workshops, interviews, and research tasks to: Educate stakeholders about M365’s native capabilities for records and information management (RIM) and IG Define stakeholders’ needs and current workflows regarding RIM and IG Analyze gaps in the current state Test and propose new workflows using native M365 tools Executives intensely monitored this project, as every identified risk was critical, so the pressure on the teams’ proposed workflows was tremendous—not to mention a tight 12-week timeline. Lighthouse prevailed, fielding a team of experienced peers with the Company stakeholders. Every business group—from records management to IT that were responsible for remediating risks—was paired with a Lighthouse consultant who had previously filled a similar role at a comparable institution. Our experts gained rapid credibility with each stakeholder group, and they ultimately accomplished a unified solution that was acceptable to all parties. Our solution succeeded in remediating all flagged risks using RIM and IG workflows within M365. It required the Company to upgrade its M365 licensing agreement from E3 to E5, but the company agreed that the added cost was more than worth it. In the end, Lighthouse achieved two key wins: 1) demonstrating to the Company that M365 could meet even the most stringent security and compliance needs, and 2) securing a new trusted partnership with the customer that has continued to develop. ‍ Corporate Case Studycase-study; big-data; cloud-migration; cloud; cloud-services; corporate; corporation; emerging-data-sources; information-governance; ediscovery; microsoft; legacy-data-remediation; risk-management; record-management; financial-services-industrymicrosoft-365; information-governance; client-success; lighting-the-path-to-better-information-governanceCase-Study, client-success, Big-Data, Cloud-Migration, cloud, Cloud-Services, Corporate, Corporation, Emerging-Data-Sources, Information-Governance, eDiscovery, microsoft, Legacy-Data-Remediation, microsoft, risk-management, Record-Management, financial-services-industry, microsoft-365, information-governance
October 1, 2022
Case Study
Case-Study, Big-Data, Cloud-Migration, cloud, Cloud-Services, ccpa, Corporate, Corporation, Data-Privacy, data-protection, Emerging-Data-Sources, Information-Governance, eDiscovery, microsoft, gdpr, Legacy-Data-Remediation, Legal-Holds, microsoft, risk-management, insurance-industry, Record-Management, microsoft-365, data-privacy, information-governance

Gap Analysis Solution for IT and Legal Teams Transitioning to M365

Lighthouse saves insurance giant millions of dollars during major technology upgrade. Key Actions Microsoft referred the Company to Lighthouse to resolve existing concerns from the Company’s IT and legal departments that were stifling their automation and transition process to Microsoft 365 (M365). Lighthouse held educational workshops on eDiscovery tools within M365, and devised a comprehensive plan for the compliance. Key Results Unblocked the M365 transition effort and enhanced the partnership between legal and IT. Compliance concerns were answered within M365, saving the company millions of dollars in retaining or updating legacy data management systems. What They Needed Legal Concerns Churn 11th Hour Nightmare for IT Department In 2017, a nationwide insurance giant initiated a transition from an on-premises Microsoft solution to a cloud-based M365 solution fueled by gain from cost, performance, and security improvements. Years later, and well past the intended launch date, the Company’s legal team suddenly halted the transition entirely due to concerns of M365’s eDiscovery capabilities, specifically, how M365 would handle the identification, preservation, and collection of email, instant messages, and files for the Company. The legal department insisted the company retain its custom-built archival solution until all compliance concerns were allayed. These demands put the IT department in an extremely tough spot after having already invested several years into the transition to M365. If forced to extend their aging, on-premises solution, the team would face substantial costs. To help unstick the implementation project, Microsoft suggested the Company engage Lighthouse to assist. Lighthouse immediately understood the legal team’s concerns and acted swiftly to address the Company’s insistence on exercising the transition to M365 with great caution, all while remaining vigilant of the Company’s receipt of hundreds of new legal matters monthly. The sensitive nature of data in this industry and the complex regulatory environment made the potential risk related to mismanagement very high. The process was intricate and complex, and required high-level integration to mitigate the significant risks that were specific to individual privacy regulations, such as the California Consumer Privacy Act (CCPA) and the European Union’s General Data Protection Regulation (GDPR). Hands-on Experience and High-touch Service Bridge the Gaps Lighthouse fielded a team of experts with direct experience in the same or similar roles as the various client stakeholders, ranging from IT to records management, corporate legal, and public affairs. This hand-selected team led a three-part process with their counterparts from the Company: Providing education on the eDiscovery aspects of M365 Analyzing current workflows and performance, and expressing their desired future state Devising a high-level design document for how relevant parties could conduct eDiscovery tasks in compliance with the requirements while using M365 The first two processes helped restore unity among stakeholders, while the design document delivered on the legal team’s concerns, including specified settings for a range of M365 applications and components, such as Exchange Online, SharePoint Online, OneDrive for Business, and Teams. The design document made room for process automation and/or custom workflows, as well as for third-party system integration (for compliance archive, legal hold, matter management, etc.). The initial project success led to a continuing relationship between the Company and Lighthouse, and over time Lighthouse has become a critical element in the Company’s ongoing M365 implementation and adoption journey helping them in charting a path forward. Corporate Case Studycase-study; big-data; cloud-migration; cloud; cloud-services; ccpa; corporate; corporation; data-privacy; data-protection; emerging-data-sources; information-governance; ediscovery; microsoft; gdpr; legacy-data-remediation; legal-holds; risk-management; insurance-industry; record-managementmicrosoft-365; data-privacy; information-governance; client-success; lighting-the-path-to-better-information-governanceCase-Study, Big-Data, Cloud-Migration, cloud, Cloud-Services, ccpa, Corporate, Corporation, Data-Privacy, data-protection, Emerging-Data-Sources, Information-Governance, eDiscovery, microsoft, gdpr, Legacy-Data-Remediation, Legal-Holds, microsoft, risk-management, insurance-industry, Record-Management, microsoft-365, data-privacy, information-governance
June 1, 2023
Case Study
Big-Data, Case-Study, Cloud-Migration, cloud, Cloud-Services, Cloud-Security, Corporate, Corporation, Data-Privacy, Emerging-Data-Sources, Information-Governance, eDiscovery, microsoft, manufacturing-industry, risk-management, chat-and-collaboration-data, ediscovery-review, microsoft-365, data-privacy, information-governance

Engineering a Customized M365 eDiscovery Premium Add-on

Lighthouse bridges internal gaps during technology overhaul and solves longstanding compliance issues for a German multinational healthcare manufacturer. Key Actions Lighthouse engaged company stakeholders in operational planning and received funding from Microsoft to devise and integrate a premium Microsoft 365 (M365) add-on to existing Purview Premium eDiscovery, which resolved an outstanding compliance need. Key Results The proof-of-concept achieved a zero-trust security model integrated with third-party software, and satisfied the barring of critical needs for the Company that centralized IT and legal departments after years of dysfunction. What They Needed Automating a transition to M365 commonly yields a clash between IT, legal, and compliance stakeholders if the decision to convert was spearheaded by IT and made without consulting legal and compliance teams. Typically, during planning or implementation of converting to M365, legal teams ask IT how the new platform will manage compliant and defensible processes, and if IT doesn’t have the answers, the project stalls. This was the situation facing a multinational manufacturing Company that engaged Lighthouse for help during the spring of 2020. At that time, the Company was several years into its M365 transition, and the legal teams’ requirements for adoption of native M365 compliance tools barred a complete transition. Pressure to adopt the tools escalated as M365 workloads for content creation, collaboration, and communication were already rolled out, creating an increasingly large and complex volume of data with significant degrees of risk. Lighthouse Responds to Need and Launches New Technology In partnership with Microsoft Consulting Services, Lighthouse organized a companywide M365 “reset,” hosting a three-day workshop to revamp the transition process and generate an official statement of work. The strategic goal was to streamline the stakeholders from litigation, technical infrastructure, cybersecurity, and forensics teams that previously failed to align. The workshop fielded critical topics geared to encourage constructive discussions between stakeholders and to strengthen departmental trust. The outcome of these discussions eventually enabled the company to move forward with critical compliance updates, including the collection and parsing of Microsoft Teams data, and the management of myriad files and email attachments. Lighthouse took stock of the current state, testing potential solutions, and arrived at a proof-of-concept for an eDiscovery Automation Solution (EAS) that augmented existing M365 capabilities to meet the legal team’s security requirements and remediate any performance gaps. Microsoft recognized the potential value of the EAS for the wider market, ultimately leading to Microsoft funding for the proof-of-concept. Inside the eDiscovery Automation Solution (EAS) Technology Azure-native web application designed to orchestrate the eDiscovery operations of an M365 subscriber through Purview Premium eDiscovery automation Maximized Microsoft Graph API “/Compliance/eDiscovery/” functions and other Microsoft API Simplified to Azure AD trust boundary, targeting the M365 tenant hosted within, and enabling full governance of identity and entitlement throughout Azure and M365 security features Benefits Achieved a zero-trust security model Authorized high-velocity, high-volume eDiscovery tasks without outside technology through automation and orchestration of existing M365 eDiscovery premium capabilities native to M365 Mobilized integration with third-party software included in the Company’s eDiscovery workflows Amplified workload visibility by automatically surfacing relevant Mailboxes, OneDrives, and other M365 group-based technologies dependent upon selected Custodians’ access Corporate Case Studybig-data; case-study; cloud-migration; cloud; cloud-services; cloud-security; corporate; corporation; data-privacy; emerging-data-sources; information-governance; ediscovery; microsoft; manufacturing-industry; risk-managementchat-and-collaboration-data; ediscovery-review; microsoft-365; data-privacy; information-governance; client-success; lighting-the-path-to-better-information-governanceBig-Data, Case-Study, Cloud-Migration, cloud, Cloud-Services, Cloud-Security, Corporate, Corporation, Data-Privacy, Emerging-Data-Sources, Information-Governance, eDiscovery, microsoft, manufacturing-industry, risk-management, chat-and-collaboration-data, ediscovery-review, microsoft-365, data-privacy, information-governance
April 14, 2023
Case Study
Case-Study, client-success, Corporate, Corporation, -G-Suite, digital forensics, investigations, collections, fraud-detection, Red-Flag-Reporting, Departing-Onboarding-Employee, digital forensics

Lighthouse Finds the Hidden Forensic Evidence Other Teams Miss

Lighthouse's forensics experts found hidden clues missed during an internal investigation, proving a departing employee was stealing company data. Lighthouse Key Results By quickly engaging Lighthouse forensics experts: The company stopped proprietary and sensitive information from being disseminated and used by competitors. The company’s law firm was able to quickly take action against the employee, preventing any further malfeasance or damage. Investigation Overview Week 1 Day 1 – 4 — Employee uploads company data onto a personal Google Drive account over the span of four days. ‍ Day 4 – 5 — An internal investigation concludes that all company data has been deleted from the employee’s personal data sources and no further action is needed. However, the company’s outside counsel calls in Lighthouse forensics experts to perform a separate investigation for affirmation. ‍ Day 6 — Lighthouse forensics experts find evidence missed during the company’s internal investigation, indicating that the laptop provided to internal investigators was a “decoy,” and that the employee had actually transferred the proprietary company data onto an as-of-yet undisclosed laptop. Week 2–4 Outside counsel uses Lighthouse’s findings to file a restraining order against the employee and elicit a confession wherein the employee admitted they had downloaded the proprietary data onto a secret laptop—owned by another business. Week 6 Lighthouse forensics team is provided access to the additional laptop and the employee’s private Google Drive account. Although there is no company data stored on the drive, the Lighthouse team dives deeper and immediately finds that the employee had restored the previously deleted company data back to their Google Drive account, transferred it the secret laptop, and then deleted it again from the Google Drive account. These findings enable outside counsel to take additional remediating actions. Suspicious Activity by a Departing Employee Raises Alarm Bells During routine internal departing employee analysis, a global company was alerted to the fact that an employee had uploaded more than 10K files containing sensitive proprietary data to a personal Google Drive account. The company immediately launched an internal investigation and engaged their outside counsel. Over the course of the internal investigation, the employee admitted they had uploaded company data to their Google Drive, and then used an external hard drive to transfer that data onto a personal laptop. However, the employee avowed that all company data had since been deleted—which the company’s IT team confirmed by examining all three data sources. However, due to the sensitivity of the data, outside counsel wanted additional reassurance that the employee was no longer concealing proprietary company data. The law firm had previously relied on Lighthouse forensics experts for similar investigations and knew that they could count on Lighthouse expertise to find any hidden clues that would point to additional hidden data. Finding the Forensic Breadcrumbs Week 1 The Lighthouse forensics team received access to forensic images of the employee’s personal laptop and external hard drive within one week of the first suspicious upload. The team immediately noticed that the employee’s data tracks conflicted with the timelines and statements provided by the employee during the company’s internal investigation. Key Evidence Found by Lighthouse Forensics Experts The external hard drive used to transfer company data had not been plugged in to the personal laptop during the relevant time frame. File paths identified on the external hard drive (which show the file locations where data was downloaded upon connection) did not match those on the personal laptop provided to internal investigators. This evidence led the Lighthouse team to conclude that the laptop provided by the employee was not the laptop used to download company data—and that a different laptop with the stored proprietary company data existed but had not been disclosed by the employee. Week 2–4 A Lighthouse forensics expert provided a sworn declaration explaining the evidence found during the examination of the employee’s personal devices. The company’s law firm used this declaration to file a restraining order to stop the employee from continuing to steal or disseminate proprietary data. The law firm also used Lighthouse’s findings to elicit a confession from the employee, admitting that they had been secretly working part-time for another business, and had transferred the company’s proprietary data onto a laptop provided to the employee by that business. Week 6 Within two weeks of the Lighthouse forensics expert’s sworn declaration, the Lighthouse team was provided access to the laptop owned by the other business, as well as the employee’s personal Google Drive account. Lighthouse’s inspection of the Google Drive did show that all company data had been deleted, as had been confirmed by internal investigators. However, Lighthouse immediately went deeper into the Google Drive and found conclusive evidence that the employee had subsequently “restored” the deleted proprietary data just a few days after the internal investigation ended, in an attempt to continue with the data theft. Key Evidence Found by Lighthouse Forensics Experts Despite the fact that no company data was stored on the employee’s personal Google Drive account at the time Lighthouse received access to it, Lighthouse forensics experts went above and beyond to do a deeper forensic dive into the user activity log, email account, and internet searches stored on the Google Drive. That deeper analysis showed that: Two days after the internal investigation ended, the employee began conducting numerous internet searches for ways to “restore” deleted files on Google Drive. Two weeks later, the employee emailed a private IT company asking for help restoring deleted Google Drive files. One day after sending that email, thousands of files were restored to the employee’s Google Drive. Those restored files were once again deleted a few days later. Before the restored files were re-deleted, the employee downloaded some of the files containing company data to the “secret” laptop owned by another business. Keeping a Lid on Pandora’s Box The evidence found by Lighthouse forensics experts after their initial examination of the employee’s personal devices enabled the company’s law firm to take legal action against the employee less than one month after the first suspicious data upload. Within one day of being provided access to the employee’s personal Google Drive account, Lighthouse forensics experts were able to find exactly how and where the stolen proprietary and sensitive data was hidden. This enabled the company to permanently prevent any dissemination of that proprietary and sensitive data to competitors. ‍ ‍ Corporate Case Studycase-study; corporate; corporation; g-suite; forensics; investigations; collections; fraud-detection; red-flag-reporting; departing-onboarding-employeedigital forensics; client-successCase-Study, client-success, Corporate, Corporation, -G-Suite, digital forensics, investigations, collections, fraud-detection, Red-Flag-Reporting, Departing-Onboarding-Employee, digital forensics
October 7, 2022
Case Study
Case-Study, client-success, document-review, eDiscovery, fact-finding, KDI, key-document-identification, Law-Firm, HSR-Second-Requests, investigations, Mergers, Acquisitions, ediscovery-review, ai-and-analytics, antitrust

Law Firm Equipped with 35 Deposition Kits, At or Before DOJ Deadlines, for Massive Antitrust Investigation

Lighthouse experts distilled crucial information from millions of produced documents for a client's legal strategy during a Department of Justice investigation. Key Actions Lighthouse created 35 deposition kits by conducting two large-scale data investigations—and addressing multiple ad-hoc emergency investigations in the process—on an initial production set of six million documents, identifying the 4,100 most relevant items. Lighthouse adhered to a complex delivery schedule so the case team had time to prepare for each deposition. ‍ Key Results Counsel was well-prepared for 35 depositions using the deposition kits delivered by Lighthouse. Instead of spending time and review cycles finding they evidence, they used the bandwidth they saved to hone their legal strategy. ‍ Responding to a Fast-Moving Government Investigation, with a Merger on the Line When two of the largest publishing companies in the country entered a merger deal, the Department of Justice (DOJ) reacted with a large anti-trust investigation. Pursuant to an HSR Second Request, the companies produced a combined six million documents to the DOJ. In response, the DOJ sought to depose 35 individuals within a few months’ time. This left outside counsel with just two months to prepare for the defense of a massive potential merger, including intensive preparation for all 35 depositions. To do so, they knew they would need to find every shred of relevant information hidden within those six million documents—as quickly as possible. Executing a Plan for Better Legal Strategy When the law firm reached out to Lighthouse for help, our agile search team of analytic, legal, and linguistic experts immediately got to work, consulting with counsel to understand the specifics of the investigation, as well as the case team’s initial strategy for response. Using this background, the Lighthouse team mapped out a information search plan leveraging advanced volume reduction technologies and linguistic search models, delivering: Comprehensive deposition kits for all 35 deponents. Each kit was scheduled to be delivered well ahead of the corresponding deposition date, and included summaries of Lighthouse experts’ findings and highlights of notable documents and facts, in order to give counsel adequate time to prepare for each deposition. Key and relevant documents related to the DOJ’s anti-trust concerns and outside counsel’s defense strategies. These documents, provided on a rolling timeline, were uncovered by conducting two large scale data investigations: one to find all documents related to determining which publishers participated in or won the auctions, and another to find all documents necessary to facilitate the creation of an all-encompassing book auction timeline. Given the legal and analytic expertise of our specialists, Lighthouse search results often uncovered new areas of importance for the case team. When the case team responded to this new information with urgent follow-up search requests (with results sometimes needed in 24 – 48 hours), our team also boosted efforts to provide the requested information. Powering Counsel with Knowledge—and Time By partnering with Lighthouse, the case team stayed focused on preparing for depositions and crafting a response to the DOJ’s concerns to the merger, instead of conducting database searches and reviewing irrelevant or redundant documents. In just two months, Lighthouse found and delivered the 4,100 documents the case team needed, out of an initial population of six million documents. This included creation and delivery of 35 deposition preparation kits, all documents related to the case team’s strategy for responding to the DOJ’s antitrust concerns (delivered on a rolling basis), and results of six ad hoc case team investigation requests. All deposition kit and derivative search deliveries met or exceeded counsel’s delivery deadline expectations. Law Firm Case Studycase-study; document-review; ediscovery; fact-finding; kdi; key-document-identification; law-firm; hsr-second-requests; investigations; mergers; acquisitionsediscovery-review; ai-and-analytics; antitrust; client-successCase-Study, client-success, document-review, eDiscovery, fact-finding, KDI, key-document-identification, Law-Firm, HSR-Second-Requests, investigations, Mergers, Acquisitions, ediscovery-review, ai-and-analytics, antitrust
May 1, 2023
Case Study
Case-Study, client-success, document-review, eDiscovery, fact-finding, KDI, key-document-identification, Law-Firm, ai-and-analytics, analytics, ediscovery-review, ai-and-analytics

Law Firm Reconstructs Contract History from 92,000 Documents in Three Weeks

Lighthouse applies language models and human expertise to uncover critical evidence. What We Did Outside counsel for a large construction firm partnered with Lighthouse to identify key documents Lighthouse used its proven iterative process to reduce the review set Collaborative approach continuously incorporated counsel’s insights into model results Key Results 92,000 documents reduced to 871 Key handwritten reports identified using metadata Counsel freed to focus on most important documents Review completed within the 3-week deadline Piecing Together Contract History Without a Guide A large construction company facing a breach-of-contract suit retained outside counsel. Because personnel involved in the contract were no longer employed by the contractor, the law firm needed to reconstruct the agreement’s history based on related documents and communications. However, with just three weeks for review, a keyword search returned more than 90,000 items. The firm needed a way to identify the most critical documents rapidly and accurately. Iterating and Adapting to Unearth Critical Information The Lighthouse team applied advanced technology and review expertise to get the job done. Counsel provided Lighthouse with 15 topics relevant to contractual changes, such as cost, delays, and weather conditions. The team identified an initial set of documents using linguistic modeling. The law firm provided feedback to update the search models. The insights of the experienced attorneys directed the investigation, while Lighthouse people and technology accelerated the discovery of relevant information. As new topic areas emerged, Lighthouse adapted. They identified additional contractors involved in the dispute and concerns such as employee discontent and time-keeping accuracy. As the search proceeded, they captured important documents even though they were outside the original search parameters. Most importantly, Lighthouse used metadata to highlight relevant site incident reports, the contents of which were not searchable. The law firm could review salient reports in depth, discovering key information concerning the disputed contract. Ensuring Response Readiness Over four iterations, Lighthouse escalated 871 key documents related to 16 case themes, in addition to the handwritten incident reports. Lighthouse data retrieval experts highlighted key language in Relativity and coded and prioritized critical documents to expedite review. Using a powerful combination of linguistic models and case experience, Lighthouse shrank the unwieldy dataset to a manageable size and brought the most critical information to the forefront. Counsel could focus their resources on the most relevant data and maximize value for their client. By the end of the third week and final delivery, the attorneys were well-prepared for negotiations and litigation. Law Firm Case Studycase-study; document-review; ediscovery; fact-finding; kdi; key-document-identification; law-firm; ai-and-analytics; analyticsediscovery-review; ai-and-analytics; client-success; lighting-the-path-to-better-ediscoveryCase-Study, client-success, document-review, eDiscovery, fact-finding, KDI, key-document-identification, Law-Firm, ai-and-analytics, analytics, ediscovery-review, ai-and-analytics
February 1, 2023
Case Study
Antitrust, Case-Study, document-review, eDiscovery, fact-finding, KDI, key-document-identification, TAR, TAR-Predictive-Coding, Law-Firm, HSR-Second-Requests, investigations, Mergers, Acquisitions, ediscovery-review, ai-and-analytics, antitrust

Finding the Keys to a Strategic Defense in a Second Request

Lighthouse proprietary, technology-enabled strategy for finding key documents gives counsel a strategic advantage in a challenging HSR Second Request. Key Results In just three weeks, the Lighthouse team found the 1K most important documents out of an initial data population of 19M documents. Lighthouse experts began flowing key documents to the case team just three days after the initial kickoff meeting. Lighthouse saved counsel at least a month’s worth of preparation time for witness interviews and defense planning by efficiently finding the most important documents. A Mountain of Data and a Short Timeline A global technology company and their two outside counsel teams needed to quickly prepare a winning defense in a high-stakes, time-sensitive, Department of Justice (DOJ) Hart-Scott-Rodino (HSR) Second Request. To do so, they would have to identify and review all potentially damaging (or alternatively, helpful) documents within an initial data population of 19M documents. Finding the most important documents within that massive data volume—in less than one month—presented a Herculean task. A Proprietary Solution for Finding the Most Important Documents Lighthouse’s technology-enabled search strategy is led by information retrieval experts with decades of industry experience, who utilize robust search technologies that support large data volumes beyond industry-standard tools. Together, this combination of cutting-edge technology and data expertise quickly surfaces critical documents, streamlining legal analysis and case preparation for case teams. Handing Over the Keys to a Strategic Defense With no time to lose, Lighthouse TAR and review experts were able to whittle down the 19M documents to just over 990K responsive documents for production to meet substantial compliance. Simultaneously, Lighthouse experts quickly got to work finding the most important documents for the case team. Rather than relying on keyword culling, the Lighthouse team analyzed the data population and leveraged proprietary algorithms to safely reduce the universe to documents that contained the unique content the case team needed. From there, a team of six data retrieval experts leveraged proprietary search technology and institutional knowledge of the client’s data, gleaned from working with the company in a managed services capacity, to find key documents that were critical to the case team. Our experts used an iterative process and had weekly meetings with the case team so that they could instantly integrate counsel and witness feedback throughout the project, which helped yield more accurate search results. With this process, the Lighthouse team began flowing key documents to the case team just three days after the initial kickoff meeting. Over the course of the next three weeks, the Lighthouse team provided a total 1K key documents (out of a 990K responsive documents) in eight rolling deliveries. By gaining immediate access to these documents and eliminating the need for time-consuming and costly manual review, Lighthouse saved the team at least a month’s worth of preparation time for witness interviews and defense preparation. Law Firm Case Studyantitrust; case-study; document-review; ediscovery; fact-finding; kdi; key-document-identification; tar; tar-predictive-coding; law-firm; hsr-second-requests; investigations; mergers; acquisitionsediscovery-review; ai-and-analytics; antitrust; client-successAntitrust, Case-Study, document-review, eDiscovery, fact-finding, KDI, key-document-identification, TAR, TAR-Predictive-Coding, Law-Firm, HSR-Second-Requests, investigations, Mergers, Acquisitions, ediscovery-review, ai-and-analytics, antitrust
June 1, 2022
Case Study
Advisory-Services, Big-Data, Case-Study, collections, Corporate, Corporation, eDiscovery, digital forensics, Information-Governance, investigations, Pharma, privilege, privilege-review, Processing, Project-Management, TAR, TAR-Predictive-Coding, technology-assisted-review, ediscovery-review, digital forensics, ai-and-analytics, information-governance

Big Pharma Relies on Lighthouse to Manage Complex eDiscovery

Lighthouse partners with a rapidly expanding pharmaceutical company to streamline its eDiscovery workflow and meet obligations more efficiently. What They Needed A large pharmaceutical client received subpoenas from several regulators. The subpoenas covered multiple product lines, implicated 60 custodians, and virtually all the company’s email. The client’s IT group identified over 35TBs of data requiring collection, processing, and review. Complicating matters further, the company had only 60 days to respond, well outside its estimated time of nine months to complete the project. Faced with this near impossible timeline, the client looked to Lighthouse for support. How We Did It Relying on procedures outlined in a jointly developed eDiscovery Playbook, Lighthouse’s data collection and forensics experts worked closely with the client’s legal and IT groups to implement a defensible strategy that greatly reduced the amount of data requiring collection. Experts from Lighthouse’s Advisory Services group worked with the client to implement a legal hold and data retention policy, customized to the various subpoenas. Lighthouse provided a unified review database, allowing outside counsel (who was responding to separate subpoenas) to leverage each other’s work product, greatly reducing review costs and preventing the inadvertent production of privileged and other sensitive materials. The Results Our combined efforts reduced the originally estimated 35TBs of data requiring review to less than 3TBs. By greatly reducing the amount of data requiring processing and review, the client saved significant review costs and reduced the estimated project completion time from nine months to only four weeks. Review cost reductions were achieved by leveraging Lighthouse’s project management team as well as the company’s proprietary suite of technology-assisted review offerings. These, and other efficiencies discovered during the project, have been implemented in future matters, continuing to drive down costs and increase value. Corporate Case Studyadvisory-services; big-data; case-study; collections; corporate; corporation; ediscovery; forensics; information-governance; investigations; pharma; privilege; privilege-review; processing; project-management; tar; tar-predictive-coding; technology-assisted-reviewediscovery-review; digital forensics; ai-and-analytics; information-governance; client-successAdvisory-Services, Big-Data, Case-Study, collections, Corporate, Corporation, eDiscovery, digital forensics, Information-Governance, investigations, Pharma, privilege, privilege-review, Processing, Project-Management, TAR, TAR-Predictive-Coding, technology-assisted-review, ediscovery-review, digital forensics, ai-and-analytics, information-governance
January 15, 2023
Case Study
Case-Study, client-success, Corporate, Corporation, digital forensics, investigations, collections, fraud-detection, Red-Flag-Reporting, Departing-Onboarding-Employee, digital forensics

Lighthouse Secure IP On-Demand Services Prevent Proprietary Data Theft by Exiting Employee

Lighthouse red flag report prevents proprietary data from being taken by departing employee. Key Actions A global company partnered with Lighthouse to create a proactive departing employee program to prevent data loss and theft. Lighthouse forensics experts prepared Red Flag Reports for every departing employee that fell within a specific category of employees. Each report outlined the risks associated with the departing employee based on a skilled forensic examination of their activity and data. Soon after implementing the program, a Lighthouse Red Flag Report alerted the company to suspicious activity by a departing employee indicating a high risk for data loss. Key Results Because of Lighthouse’s analysis and quick response, the company was able to: Prevent sensitive data from being disseminated outside the company. Avoid costly litigation associated with proprietary data loss. Reevaluate the departing employee’s severance package due to breach of contract, resulting in additional cost savings. ‍ What They Needed A global company was dealing with an increased risk of data loss and theft from departing employees. The company retains large volumes of proprietary data spread across their entire data landscape. Much of that data is also highly sensitive and would create a competitive disadvantage for the company if it were to end up in competitors’ hands. The company was also facing a higher volume of employee turnover—especially within roles that had access to the company’s most sensitive data (e.g., company executive and management roles). The company was concerned that these factors were creating a perfect storm for data theft and loss. They realized they needed a better system to catch instances of proprietary data loss before any data left the company. Company stakeholders reached out to Lighthouse because they knew our forensics team could help them build a proactive, repeatable solution for analyzing and reporting on departing employee activity. How We Did It Lighthouse forensics experts worked with the company to create a custom departing employee program for data loss prevention. With this program, Lighthouse experts prepared a Red Flag Report for every departing employee that fell within specified high-risk categories (e.g., employees above a specific seniority level, or employees that had access to highly sensitive company data, etc.). Each Red Flag Report was prepared by a Lighthouse forensics expert and summarized the data theft risk associated with the underlying employee. Every report contained: A high-level summary of the risk of data theft presented by the employee. A collection of attachments with highlights and comments by the Lighthouse forensics examiner (for example, a list of files stored in an employee’s personal cloud storage account, with an explanation of why that activity may indicate a higher risk of data theft). A forensic artifact categorization with associated risk ratings (e.g., if there were no suspicious search terms found during a scan of the employee’s Google search history, the examiner assigned that category a lower risk rating of “1”). Recommended next steps, with options for substantiating high-risk employee behavior. Reports were delivered to a cross-functional group of company stakeholders, including IT, human resources, and legal groups. The Results The Lighthouse program very quickly paid off for the company. Soon after initiation, Lighthouse escalated a Red Flag Report for a departing employee that showed a high risk of data loss. Specifically, the Lighthouse forensics examiner flagged that the employee had connected two different external thumb drives containing sensitive company data to their laptop. This activity was flagged by the Lighthouse forensics examiner as high risk because: The employee had already been directed by the company to return any device that had corporate data saved on it; and The employee had previously indicated that they didn’t have any devices to return. As soon as Lighthouse escalated the Red Flag Report, company stakeholders scheduled an interview with the employee. This interview resulted in the employee admitting that they had taken corporate data with them, via the two thumb drives. Because Lighthouse was able to quickly flag the employee’s suspicious activity, the company was able to retrieve the thumb drives before the proprietary data was disseminated to a competitor. The company was also able to reevaluate the employee’s severance package due to the breach of company policy, resulting in a significant cost saving. Even more importantly, the company now has a proven, proactive, and customized solution for preventing data loss and theft by departing employees—implemented by Lighthouse’s highly skilled forensics team. ‍ Corporate Case Studycase-study; corporate; corporation; forensics; investigations; collections; fraud-detection; red-flag-reporting; departing-onboarding-employeedigital forensics; client-successCase-Study, client-success, Corporate, Corporation, digital forensics, investigations, collections, fraud-detection, Red-Flag-Reporting, Departing-Onboarding-Employee, digital forensics
April 1, 2023
Case Study
Case-Study, Corporate, Corporation, eDiscovery, self-service, spectra, Spectra, energy-industry, analytics, ediscovery-review

Energy Company Saves Hundreds of Hours with the Right Combination of Technology and Human Expertise

A leading energy company gained the flexibility to use self-service technology and full-service expertise as needed, reducing costs and optimizing outcomes. Key Actions A multinational energy company sought eDiscovery efficiency and scalability A seamless combination of self-service Lighthouse Spectra eDiscovery and full-service Lighthouse consulting enabled them to meet a wide range of needs Minor matters can be addressed with low-cost self-service tools A full-service Lighthouse team applies in-depth review expertise to complex matters Key Results $50,000 year-over-year cost reduction 100+ hours freed for matter-critical work Flexibility to meet varying matter requirements Training improved speed and accuracy of self-service eDiscovery What They Needed A multinational energy company wanted to stop relying on an expensive patchwork of third-party eDiscovery providers and adopt a unified, cost-effective strategy. It sought transparent pricing and self-service access to the latest technology, including Relativity and Brainspace. At the same time, it needed a consistent team of experienced eDiscovery and review experts for more in-depth needs. How We Did It Lighthouse listened closely as the company described its desire for greater scalability and efficiency. We proposed a seamless combination of self-service capabilities on the Lighthouse Spectra platform and a dedicated full-service team for complex matters. This proven, flexible approach minimizes cost for minor matters while ensuring available capacity and expertise for complex projects. The Lighthouse Spectra support team accelerated onboarding through technical assistance and training. After completing a proof of concept, the client immediately began ingesting matters into Spectra. At the same time, we assembled a dedicated full-service team to be ready when needed. The Results Using the intuitive, familiar Lighthouse Spectra experience—incorporating Relativity and Brainspace functionality—the client rapidly discovered and reviewed data for internal investigations, subpoenas, and other minor matters. They no longer needed to license and manage Relativity and Brainspace separately, benefitting from a predictable, fixed-fee pricing model that fits their budget and scales to meet their needs. The Lighthouse team simplified data processing and exception handling, freeing resources to focus on strategic aspects of a given matter. As soon as a case warranted, they could triage it to the full-service team directly from the Spectra workspace. The result is a more responsive, cost-effective eDiscovery strategy, saving the company hundreds of hours and almost $50,000. Corporate Case Studycase-study; corporate; corporation; ediscovery; self-service, spectra; spectra; energy-industry; analyticsediscovery-review; client-success; lighting-the-path-to-better-ediscoveryCase-Study, Corporate, Corporation, eDiscovery, self-service, spectra, Spectra, energy-industry, analytics, ediscovery-review
July 3, 2023
Case Study
Case-Study, Corporate, Corporation, eDiscovery, fact-finding, document-review, investigations, KDI, key-document-identification, keyword-search, tech-industry, analytics, ediscovery-review, ai-and-analytics

Beyond Relevance: Finding Evidence in a Fraction of the Time

Lighthouse goes beyond linear review to help a global technology company make its case to the IRS. Key Actions Targeting critical case documents with Key Document Identification rather than performing linear review on the whole document set. Identifying key events that took place within specific hours, by applying advanced linguistic modelling to overcome challenges presented by multiple time zones and different time stamp formats within email traffic. Key Results 1.5 million total documents reduced to roughly 37,500. Results in 100-500% less time and at 90-240% lower cost than linear review. Building a Case for Tax-Exempt Lunches A global technology company was facing IRS scrutiny over the complementary lunches the company provided to staff. Full-time workers were comped the meals because, the company claimed, staff were required to respond to emergencies during lunch hours. The IRS was dubious of that claim and inclined to consider the lunches a taxable benefit. To prevent the meals from being taxed, the company needed to demonstrate to the IRS that, over a two-year period, at least 50% of employees at its San Francisco office had in fact responded to an emergency between the hours of 11 a.m. and 2 p.m. local time. For evidence, the company had 1.5 million documents—mostly emails—pertaining to about 1,000 employees. The company reached out to Lighthouse for help finding the best case-building documents within those 1.5 million. Lighthouse offered its Key Document Identification service. Rather than prioritize documents for linear review, the Lighthouse team promised to identify the most valuable and evidential documents—and do so in less time and at a lower cost. Hacking Through the Haystack The Lighthouse team eliminated less-valuable documents in stages. First, they used an advanced algorithm to remove junk and duplicative documents, reducing the document set to 943,000 (a 38% reduction). Among those, the team targeted San Francisco employee names and emails, which brought the total down to 484,000 (an additional 49% reduction). From here, the team employed nuanced, multi-layered linguistic search techniques to zero in on the most necessary and informative documents. Along the way, Lighthouse encountered a number of challenges that would have thwarted other search tools and teams. One of these was the knot of different time stamps attached to emails: the last in time email in every thread was converted to Coordinated Universal Time (UTC), while every previous email in the thread was stamped according to the local time zone of the sender. The Lighthouse team circumvented this by searching the emails’ metadata, which converted all times to UTC. Using this metadata, the team was able to search using a single timeframe (6 to 9 p.m. UTC, corresponding with 11 a.m. to 2 p.m. Pacific). Another challenge was looping together all emails stemming from the same incident, so that Lighthouse could provide the company with a complete account of each emergency response (and avoid counting a given emergency more than once). The team did this by flagging one email tied to a specific emergency and using proprietary threading technology to propagate that flagging to all other emails associated with that emergency. Finally, the Lighthouse team had to classify documents by level of emergency, to help the company build the strongest case. The emergency level of some documents was already classified, thanks to a system installed by the company toward the end of the two years under investigation. But for the majority of documents, it was unknown. Lighthouse was able to classify them using advanced search features of proprietary technology, which identified key terms like “time-sensitive” and other ways emergencies were referenced in the document population. Major Savings and Critical Insights In only two weeks, a two-person team delivered on Lighthouse’s promise to help the company gather evidence, shrink the document population, and save time and money. Had the company tried to build a case with linear review instead, it would have taken up to 5 times longer and cost up to twice as much. Of the 1.5 million total documents, Lighthouse escalated approximately 37,500 (2.5% of the original dataset). To help with case building, the team sorted documents into three tiers of descending priority: employees responding to high-level emergencies during the lunch hour, employees responding to any level of emergency during the lunch hour, and employees responding to high-level emergencies at any time in the day. The Lighthouse team also normalized the metadata for all documents to make it easy for company counsel to see which employees were involved in each document and thread. Across the three tiers: 78% of San Francisco employees were tied to at least one document 74% were tied to at least one non-propagated document (i.e., an email associated with a unique emergency) 68% were the sender of at least one non-propagated document This strongly suggested that more than 50% of employees actively responded to emergencies in the target timeframe and helped counsel hit the ground running in collecting the facts to prove it. Corporate Case Studycase-study; corporate; corporation; ediscovery; fact-finding; document-review; investigations; kdi; key-document-identification; keyword-search; tech-industry; analyticsediscovery-review; ai-and-analytics; client-successCase-Study, Corporate, Corporation, eDiscovery, fact-finding, document-review, investigations, KDI, key-document-identification, keyword-search, tech-industry, analytics, ediscovery-review, ai-and-analytics
February 15, 2022
Case Study
Case-Study, client-success, Corporate, Corporation, eDiscovery, self-service, spectra, Spectra, analytics, Pharma, ai-and-analytics, analytics, Processing, ediscovery-review, ai-and-analytics

Significant Cost Savings Achieved Through Lighthouse Spectra

Spectra, Lighthouse's cloud-based eDiscovery software, saved a pharmaceutical company cost by managing eDiscovery for a third-party subpoena in-house. What They Needed Faced with yet another third-party subpoena, a large pharmaceutical company started to question how they could address these types of matters in a more cost-effective manner. Although sometimes larger in terms of data volume, these types of matters aren’t generally complex and commonly don’t require the expertise and oversight of an outside vendor to manage the eDiscovery process. This case, in particular, had a large data volume with a low dollar value, so the company wanted to explore options outside of the traditional vendor and outside counsel review and production process. How They Did It Lighthouse had been exploring the idea of Spectra, our cloud-based, user-driven eDiscovery solution, with this client for some time and this third-party subpoena seemed to be the perfect fit for their first run. Although the matter was a bit larger in nature, with over 150 GBs of email, it could easily be self-driven by the client’s in-house team of experts within the Spectra environment. To begin, the Spectra team onboarded the client’s team into the tool and provided training, documentation, and access. From there, the client kicked off the matter and uploaded all the documents into Nuix to be processed with the click of a button. Nuix then quickly processed this data and loaded the resulting documents into Relativity for review. Upon investigation of the resulting ~750K document set, the client decided that instead of taking the time to craft and test search terms to identify the potentially relevant files, they preferred to engage Lighthouse’s Focus Discovery team to further reduce and refine the files needing to be reviewed. As a first step, all documents were run through Brainspace to flag lesser included emails that could be removed from the review. Out of the 771,825 documents loaded to Relativity, 168,628 (or 22% of the population), were able to be removed from the review entirely. Next, the client sent Lighthouse’s Focus Discovery team a request for production as well as the subpoena to aid in the search term creation and optimization process. The Focus group worked with the client to create and then optimize the search terms until only ~5,000 hits (0.6% of promoted docs) were flagged for review. At this point, the client team was able to organize the review and review the documents to ensure privilege was considered. Finally, the ~250 relevant documents were produced inside of Spectra and delivered for service to the other side. ‍ The Results Overall, the client was not only able to save significant money on linear review due to a reduced data volume, but also on the traditional review process, as they did not have to outsource it and instead could run their matter in one easy-to-use solution, while accessing on-demand expertise of the Focus Discovery team. The experience thus far has been overwhelmingly positive and the client now has an easy-to-use, self-service solution for handling third-party subpoenas (and other similar matters) in a more cost-effective manner. ‍ ‍ Corporate Case Studycase-study; corporate; corporation; ediscovery; self-service, spectra; spectra; analytics; pharma; ai-and-analytics; processingediscovery-review; ai-and-analytics; client-successCase-Study, client-success, Corporate, Corporation, eDiscovery, self-service, spectra, Spectra, analytics, Pharma, ai-and-analytics, analytics, Processing, ediscovery-review, ai-and-analytics
April 5, 2024
eBook
Antitrust, Second Requests, HSR Second Request

Emerging Trends in Second Requests

December 15, 2023
eBook
Ai-and-analytics

AI Is All the Rage — But What’s the ROI in eDiscovery?

[h2] Not All AI is Created Equally The eDiscovery market is suddenly crowded with AI tools and platforms. It makes sense—AI is perfectly suited for the large datasets, rule-based analysis, and need for speed and efficiency that define modern document review. But not all AI tools are created equally—so how do you sort through the noise to find the solutions best fit for you? What’s most important? The latest, greatest tech or what’s tried and true? At the end of the day, those aren’t the most important questions to consider. Instead, here are three questions you need to answer right away: What is my goal? How Is AI uniquely suited to help me? What are the measures of success? These questions will help you look beyond the “made with AI” labels and find solutions that make a real difference on your work and bottom line. To get you started, here are 4 ways that our clients have seen AI add value in eDiscovery. [h2] AI in eDiscovery: 4 ways to measure ROI Document review accuracy Risk mitigation Speed to strategy and completion Cost of eDiscovery [h2] AI Improves Document Review Deliverables and Timelines Studies have shown that machine learning tools from a decade ago are at least as reliable as human reviewers—and today’s AI tools are even better. Lighthouse has proven this in real-world, head-to-head comparisons between our modern AI and other review tools (see examples below). Analytic tools built with AI, such as large language models (LLMs), do a better job of detecting privilege, personally identifiable information, confidential information, and junk data. This saves a wealth of time and trouble down the line, through fewer downstream tasks like privilege review, redactions, and foreign language translation. It also significantly lowers the odds of disclosing non-relevant but sensitive information that could fuel more litigation. [h3] Document review accuracy [tab 1: open] Comparison [tab 2: closed] Examples No/Old AI Modern AI Words evaluated individually, at face value Words evaluated in context, accounting for different usages/meanings Analysis limited to text Analysis includes text, metadata, and other data types Broad analysis pulls in irrelevant docs for review Variable efficacy, highly dependent on document richness and training docs Nuanced analysis pulls in fewer irrelevant docs for review Specific base models for each classification type leads to more accurate analytic results [tab 1: closed] Comparison [tab 2: open] Examples Lighthouse AI Results in Smaller, More Precise Responsive Sets* During review for a Hart-Scott-Rodino Second Request, counsel ran the same documents through 3 different TAR models (Lighthouse AI, Relativity, and Brainspace) with the same training documents and parameters. *Data shown is for 70% recall. 308K fewer documents than Relativity; ~94K fewer than Brainspace 89% precision, compared to 73% for Relativity and 83% for Brainspace Lighthouse AI Outperforms Priv Terms In a matter with 1.5 million documents, a client compared the efficacy of Lighthouse AI and privilege terms. The percentage of potential privilege identified by each method was measured against families withheld or redacted for privilege. 8% privilege search terms 53% Lighthouse AI [h2] AI Mitigates Risk Through Data Reuse and Trend Analysis The accuracy of AI is one way it lowers risk. Another way is by applying knowledge across matters: Once a document is classified for one matter, reviewers can see how it was coded previously and make the same classification in current and future matters. This makes it much less likely that you’ll produce sensitive and privileged information to investigators and opposing counsel. Additionally, AI analytics are accessible in a dashboard view of an organization’s entire legal portfolio, helping teams identify risk trends they wouldn’t see otherwise. For example, analytics might show a higher incidence of litigation across certain custodians or a trend of outdated material stored in certain data sources. [h3] Risk mitigation [tab 1: open] Comparison [tab 2: closed] Examples No/Old AI Modern AI Search terms miss too many priv and sensitive docs Search terms cannot show historical coding Nuanced search finds more priv and sensitive docs Historical coding insights help reviewers with consistency Docs may be coded differently across matters, increasing risk of producing sensitive or priv docs Coding can be reused, increasing consistency and lowering risk QC relies on the same type of analysis as initial review (i.e., more humans) QC bolstered by statistical analysis; discrepancies between AI and attorney judgments indicate a need for more scrutiny [tab 1: closed] Comparison [tab 2: open] Examples Lighthouse AI Powers Consistency in Privilege Review A global pharmaceutical company asked Lighthouse to use advanced AI analytics on a group of related matters. This enabled the company to reuse a total of 26K previous privilege coding decisions, avoiding inadvertent disclosures and heading off potential challenges from opposing counsel. Reused priv coding Case A 4,300 Case B 6,080 Case C 970 Case D 4,100 Case E 11,000 [h2] AI Empowers with Early Insights and Faster Workflows Enhancements in AI technology in recent years have led to tools that work faster even when dealing with large datasets. They provide a clearer view of matters at an earlier stage in the game, so you can make more informed legal and strategy decisions right from the outset. They also get you to the end of document review more quickly, so you can avoid last-minute sprints and spend more time building your case. [h3] Speed to strategy and completion [tab 1: open] Comparison [tab 2: closed] Examples No/Old AI Modern AI Earliest insights emerge weeks to months into doc review Initial insights available within days for faster case assessment and data-backed case strategy Responsive review and priv review must happen in sequence Responsive review and priv review can happen simultaneously Responsive model goes back to start if the dataset changes Responsive models adapt to dataset changes False negatives lead to surprises in later stages No surprises QC spends more time managing review and checking work QC has more time to assess the substance of docs Review drags on for months Review completed in less time [tab 1: closed] Comparison [tab 2: open] Examples Lighthouse AI Crushes CAL for Early Insights Case planning and strategy hinge on how soon you can assess responsiveness and privilege. Standard workflows for advanced AI from Lighthouse are orders of magnitude faster than traditional CAL models. Dataset: 2M docs Building the responsive set Detecting sensitive info CAL & Regex 8 weeks 8+ weeks Lighthouse AI 15 days including 2 wks to train and 24 hrs to produce probability assessments (highly likely, highly unlikely, etc.) 24 hrs for arrival of first probability assessments [h2] AI Lowers eDiscovery Spend The accuracy, risk mitigation, and speed of advanced AI tools and analytics add up to less eyes-on review, faster timelines, and lower overall costs. [h3] Cost of eDiscovery [tab 1: open] Comparison [tab 2: closed] Examples No/Old AI Modern AI Excessive eyes-on review requires more attorneys and higher costs Eyes-on review can be strategically limited and assigned based on data that requires human decision making Doc review starts fresh with each matter Doc review informed and reduced by past decisions and insights Lower accuracy of analytics means more downstream review and associated costs Higher accuracy decreases downstream review and associated costs ROI limited by document thresholds and capacity for structured data only ROI enhanced by capacity for an astronomical number of datapoints across structured and unstructured data [tab 1: closed] Comparison [tab 2: open] Examples Lighthouse AI Trims $1M Off Privilege Review Costs In a recent matter, Lighthouse’s AI analytics rated 208K documents from the responsive set “highly unlikely” to be privileged. Rather than verify via eyes-on review, counsel opted to forward these docs directly to QC and production. In QC, reviewers agreed with Lighthouse AI’s assessment 99.1% of the time. 208K docs removed from priv review = $1.24M savings* *Based on human review at a rate of 25 docs/hr and $150/hr per reviewer. Lighthouse AI Significantly Reduces Eyes-On Review The superior accuracy of Lighthouse AI helped outside counsel reduce eyes-on review by identifying a smaller responsive set, removing thousands of irrelevant foreign-language documents, and targeting privilege docs more precisely. In terms of privilege, using AI instead of privilege terms avoided 18K additional hours of review. “My team saved the client $4 million in document review and translation costs vs. what we would have spent had we used Brainspace or Relativity Analytics.” —Head of eDiscovery innovation, Am Law 100 firm [h2] Finding the Right AI for the Job We hope this clarifies how AI can make a material difference in areas that matter most to you—as long as it’s the right AI. How can you tell whether an AI solution can help you accomplish your goals? Look for key attributes like: Large language models (LLMs) – LLMs are what enable the nuanced, context-conscious searches that make modern AI so accurate. Predictive AI – This is a type of LLM that makes predictions about responsiveness, privilege, and other classifications. Deep learning – This is the latest iteration of how AI gets smarter with use; it’s far more sophisticated than machine learning, which is an earlier iteration still used by many tools on the market. If you find AI terminology confusing, you’re not alone. Check out this infographic that provides simple, practical explanations. And for more information about AI designed with ROI in mind, visit our AI and analytics page below.
October 27, 2023
eBook
ai-and-analytics, edisovery-review

AI for eDiscovery: Terminology to Know

Everybody’s talking about AI. To help you follow the conversation, here’s a down-to-earth guide to the AI terms and concepts with the most immediate impact on document review and eDiscovery. Predictive AI. AI that predicts what is true now or in the future. Give predictive AI lots of data—about the weather, human illness, the shows people choose to stream—and it will make predictions about what else might be true or might happen next. These predictions are weighted by probability, which means predictive AI is concerned with the precision of its output. In eDiscovery: available now Tools with predictive AI use data from training sets and past matters to predict whether new documents fit the criteria for responsiveness, privilege, PII, and other classifications. Generative AI AI that generates new content based on examples of existing content ChatGPT is a famous example. It was trained on massive amounts of written content on the internet. When you ask it a question, you’re asking it to generate more written content. When it answers, it isn’t considering facts. It’s lining up words that it calculates will fulfill the request, without concern for precision. In eDiscovery: still emerging So far, we have seen chatbots enter the market. Eventually it may take many forms, such as creating a first draft of eDiscovery deliverables based on commands or prior inputs. Predictive AI and Generative AI are types of Large Language Models (LLMs) AI that analyzes language in the ways people actually use it LLMs treat words as interconnected pieces of data whose meaning changes depending on the context. For example, an LLM recognizes that “train” means something different in the phrases “I have a train to catch” and “I need to train for the marathon.” In eDiscovery: available but not universal Many document review tools and platforms use older forms of AI that aren’t built with LLMs. As a result, they miss the nuances of language and view every instance of a word like “train” equally. Ask an expert: Karl Sobylak, Director of Product Management, AI, Lighthouse What about “hallucinations”? This is a term for when generative AI produces written content that is false or nonsensical. The content may be grammatically correct, and the AI appears confident in what it’s saying. But the facts are all wrong. This can be humorous—but also quite damaging in legal scenarios. Luckily, we can control and safeguard against this. Where defensibility is concerned, we can ensure that AI models provide the same solution every time. At Lighthouse, we always pair technology with skilled experts, who deploy QC workflows to ensure precision and high-quality work product. What does this have to do with machine learning? Machine learning is the older form of AI used by traditional TAR models and many review tools that claim to use AI. These aren’t built with LLMs, so they miss the nuance of language and view words at face value. How does that compare to deep learning? Deep learning is the stage of AI that evolved out of machine learning. It’s much more sophisticated, drawing many more connections between data. Deep learning is what enables the multilayered analysis we see in LLMs.
September 21, 2023
Whitepaper
ediscovery-review, ai-and-analytics, document review

Analyzing the Real-World Applications and Value of AI for eDiscovery

September 6, 2023
eBook
ediscovery-review, ai-and-analytics, document review

How AI Advancements Can Revolutionize Document Review

September 15, 2021
Whitepaper
TAR, Advanced AI, HSR Second Requests, Big data

TAR + Advanced AI: The Future Is Now

April 12, 2023
Whitepaper
ediscovery-review, data-privacy, modern-data, big-data, analytics

The Challenge with Big Data

October 14, 2021
eBook

Self-Service eDiscovery Buying Guide

May 18, 2022
eBook

Purchasing AI for eDiscovery - New, Now, and Next

November 23, 2022
eBook

eDiscovery Software Assessment Toolkit

June 16, 2022
eBook

eDiscovery Advancements Meet the Unique Challenges of Second Requests

November 1, 2021
eBook

2021 HSR Second Request Trends Report

May 1, 2023
eBook

Is Repeated Review Always Necessary?

September 29, 2023
Podcast
chat and collaboration data, information governance, Microsoft 365

The Great Link Debate and the Future of Cloud Collaboration

Michael Blank, Corporate Counsel ‚Äì eDiscovery, at DISH, and Lisa Lukaszewski, counsel at Gunster, discuss how the issues with hyperlinks and collaboration data continue to transform., Links, modern attachments, shared documents‚Äîthe descriptors for files exchanged through email and collaboration platforms continue to grow with no clear consensus on what to call them or how exactly to handle them. Despite their wide use, why are they a persistent challenge for eDiscovery and data governance teams? Beyond semantics, links and attachments raise bigger questions about how to manage collaboration data as it proliferates in the evolving workplace. Michael Blank , Corporate Counsel ‚Äì eDiscovery , at DISH, and Lisa Lukaszewski , Of Counsel at Gunster, join Law & Candor to discuss how the issues with links and collaboration data continue to transform‚Äîincluding changes to ESI protocols‚Äîhow recent legal decisions are contributing to the debate, and best practices for tackling these persistent challenges.  This episode‚Äôs sighing of radical brilliance: ‚Äú Carmakers are failing the privacy test. Owners have little or no control over data collected ,‚Äù Frank Bajak, AP, September 6, 2023. Learn more about the show and our speakers on lawandcandor.com , rate us wherever you get your podcasts, and join in the conversation on LinkedIn and Twitter . , chat-and-collaboration-data; information-governance, chat and collaboration data, information governance, Microsoft 365, big-data; compliance; corporate; emerging-data-sources; g-suite; information-governance; microsoft; podcast; preservation; legal-holds
September 29, 2023
Podcast
AI, analytics, eDiscovery, Review, information governance, generative AI, PHI, PII, healthcare, HIPAA, podcast

Generative AI and Healthcare: A New Legal Landscape

Lighthouse welcomes Ty Dedmon, Partner and lead of Bradley’s healthcare litigation team, to assess how generative AI is impacting litigation and what we can do to minimize the risk., Although the novel and often comical uses of generative AI have captured more recent headlines—think philosophical conversations with a chatbot or essays written in seconds using AI—there are big changes happening across sectors of the economy thanks to adoption of new tools and programs, including the legal and healthcare spaces. Recent case law and legislation highlights the new landscape emerging in healthcare litigation with potential long-term implications. Lighthouse welcomes Ty Dedmon , Partner at Bradley who leads their healthcare litigation team, to assess how generative AI is impacting litigation and what we can do to prepare, and to share advice on leverage AI innovation while minimizing the risk. This episode’s sighing of radical brilliance: “ Top AI companies agree to work together toward transparency and safety ,” Kevin Collier, NBCNews , July 21, 2023. Learn more about the show and our speakers on lawandcandor.com , rate us wherever you get your podcasts, and join in the conversation on LinkedIn and Twitter . , ai-and-analytics; ediscovery-review; information-governance, AI, analytics, eDiscovery, Review, information governance, generative AI, PHI, PII, healthcare, HIPAA, podcast, ai-and-analytics; analytics; artificial-intelligence; compliance; data-privacy; healthcare; healthcare-litigation; hipaa-phi; phi; pii; podcast; regulation
September 29, 2023
Podcast
eDiscovery, Review,

Why Your eDiscovery Program and Technology Need Scalability

Lighthouse’s Brooks Thompson, Executive Director of Spectra, provides use cases for scaling and diversifying your eDiscovery platform and technology., As the demands of modern data, litigation, investigations, and data privacy continue to grow in scale and complexity, solutions for them need to adapt accordingly. Although there is a lot of noise around the latest generative AI promises or capabilities for eDiscovery, often legal teams and counsel merely need solutions that can effectively scale to their matters at hand. Deploying platforms or technology intended only for larger or more specific matters can be cumbersome and drain resources, leaving teams ill equipped for the variety of projects they encounter. Lighthouse’s Brooks Thompson , Executive Director of Spectra Operations and Support, joins the podcast to provide some practical advice and use cases for scaling and diversifying your eDiscovery platform and technology to make them more comprehensive. This episode’s sighing of radical brilliance: “ Why Companies Can — and Should — Recommit to DEI in the Wake of the SCOTUS Decision , ”Tina Opie and Ella F. Washington, Harvard Business Review , July 27, 2023. Learn more about the show and our speakers on lawandcandor.com , rate us wherever you get your podcasts, and join in the conversation on LinkedIn and Twitter . , ediscovery-review, eDiscovery, Review, , ediscovery; ediscovery-process; analytics; big-data; ai-and-analytics
September 29, 2023
Podcast
antitrust, AI, analytics, HSR, antitrust, FTC, DOJ, M&A

What You Need to Know About the New FTC and DOJ HSR Changes

Brian Rafkin, counsel in Akin‚Äôs antitrust and competition practice, joins to examine the HSR rules and share advice for utilizing AI and workflows to manage increased scrutiny., <iframe height="200px" width="100%" frameborder="no" scrolling="no" seamless src="https://player.simplecast.com/f0b5195e-f4b6-4f49-a2ca-4d7aa3638bc2?dark=true"></iframe> ‚Äç Continuing a more aggressive posture toward corporate mergers, the Department of Justice and Federal Trade Commission recently announced new HSR rules that dramatically change and expand the amount and type of information that needs to be submitted with HSR filings. How will this impact future M&A activity and Second Requests? Brian Rafkin , counsel in Akin‚Äôs antitrust and competition practice, joins the podcast to examine the new HSR rules and their potential implications. He also shares best practices for utilizing technology and workflows to manage increased scrutiny and pressure on deals.  This episode‚Äôs sighing of radical brilliance: ‚Äú United States takes on Google in biggest tech monopoly trial of 21st century ,‚Äù Dara Kerr, NPR, September 12, 2023. Learn more about the show and our speakers on lawandcandor.com , rate us wherever you get your podcasts, and join in the conversation on LinkedIn and Twitter . , antitrust; ai-and-analytics, antitrust, AI, analytics, HSR, antitrust, FTC, DOJ, M&A, ai-and-analytics; antitrust; artificial-intelligence; biden-administration; document-review; hsr-second-requests; mergers; regulation
September 29, 2023
Podcast
legal operations, eDiscovery, Review

The Power of Three: Maximizing Success with Law Firms, Corporate Counsel, and Legal Technology

Law & Candor welcomes Michael Bohner, Managing Discovery Attorney at Cleary, and Justin Van Alstyne, Head of Discovery and Information Governance at T-Mobile, to explore the practical aspects of this partnership, including balancing responsibilities, employing technology, and building relationships., In demanding and highly contentious litigation or investigations it can often feel like it‚Äôs every person for themselves without much room for partnership. However, this is a lost opportunity. The relationship between the strong trio of corporate counsel, law firms, and legal technology providers is often an unacknowledged key to overcoming critical challenges. By sharing key information, balancing workloads, and building on each other‚Äôs expertise, these partners can work together to solve modern data challenges and the toughest matters. Law & Candor welcomes Michael Bohner , Managing Discovery Attorney at Cleary, and Justin Van Alstyne , Head of Discovery and Information Governance at T-Mobile, to explore the practical aspects of this partnership, including balancing responsibilities, employing technology, and building relationships. This episode‚Äôs sighing of radical brilliance: ‚Äú Meet Aleph Alpha, Europe‚Äôs Answer to Open AI ,‚Äù Morgan Meaker, Wired, August 30, 2023.   Learn more about the show and our speakers on lawandcandor.com , rate us wherever you get your podcasts, and join in the conversation on LinkedIn and Twitter . , legal-operations; ediscovery-review, legal operations, eDiscovery, Review, corporate-legal-ops; ediscovery; law-firm; legal-ops; legal; corporate; ediscovery-process
March 29, 2023
Podcast
information-governance, data-privacy, microsoft-365

Prioritizing Information Governance and Risk Strategy for a Dynamic Economic Climate

Lica Patterson, Senior Director of Global Advisory Services at Lighthouse, discusses how assessing short and long-term risk can inform a more strategic information governance program.,   As we continue to grapple with a strange and unpredictable economic environment, establishing your legal and information governance priorities can be daunting. While directing investment and energy into the most urgent matters is a reflex during a down economy, neglecting more long-term data issues and risk can be detrimental. How do you balance these interests with already strapped resources? Lica Patterson , Senior Director of Global Advisory Services at Lighthouse, joins the podcast to discuss how assessing short and long-term risk can inform a more strategic information governance program. She also shares how the right technology and teams contribute to accomplishing goals and evolving your program. This episode's sighting of radical brilliance:  3 trends will shape the future of work, according to Microsoft‚Äôs CEO , World Economic Forum,  February 10, 2023. If you enjoyed the show, learn more about our speakers and subscribe on lawandcandor.com , rate us wherever you get your podcasts, and join in the conversation on LinkedIn and  Twitter .   , information-governance; data-privacy; microsoft-365, information-governance, data-privacy, microsoft-365, emerging-data-sources; legal-holds; podcast; record-management; risk-management
December 15, 2022
Podcast
podcast, mental health, diversity-equity-and-inclusion,

Legal’s Mental Health Imperative

Amy Sellars, Senior Legal Counsel at CBRE, joins Law & Candor to discuss some of the contributors to mental health challenges in the legal industry and some practical approaches to remedy them., To kick off the episode, Bill and Paige discuss a piece from Law.com that looks at a recent surge in diverse, female general counsels . Next, they welcome Amy Sellars , Senior Legal Counsel, eDiscovery Operations, at CBRE, for an important conversation about the mental health crisis in the legal industry. They discuss some of the drivers of mental health challenges and what can be done at an individual and industry level to help. They explore a variety of questions, including: How has the pandemic or other factors contributed to greater challenges with mental health we‚Äôve read about? Improving mental health is a challenge we‚Äôve seen many industries grapple with recently. Are there unique challenges in legal and eDiscovery that have contributed to the epidemic we‚Äôre seeing today? While we‚Äôve heard about ways to personally manage stress, there are also some structural issues at play. What are some strategies or approaches you‚Äôve seen to help improve work/life balance or how work is allocated? As an industry, how can we continue this conversation and keep advancing initiatives to improve mental health and well being for everyone? If you enjoyed the show, learn more about our speakers and subscribe on the  podcast homepage , rate us wherever you get your podcasts, and join in the conversation on  Twitter .  , diversity-equity-and-inclusion, podcast, mental health, diversity-equity-and-inclusion,, podcast; mental-health
March 29, 2023
Podcast
collections, review, emerging data sources, podcast, production, chat-and-collaboration-data, ediscovery-review

The Chat Effect: Improving eDiscovery Workflows for Modern Collaboration Data

Law & Candor welcomes Vanessa Quaciari, Senior eDiscovery Counsel at Baker Botts, to discuss improvements in collection, review, and production that can help you manage collaboration data.,   We are all participating in the unprecedented evolution of workplace communication. From virtually editing a shared document, to ‚Äúliking‚Äù a chat message, to responding to a colleague with an emoji during a video call‚Äîmost employees in a modern work environment are actively (and often unknowingly) creating large volumes of collaboration data. For the legal and eDiscovery professions, the speed of this innovation has necessitated parallel rapid advancements in technology and new approaches to workflows to stay ahead of the complexity and scale of chat and collaboration data. Law & Candor welcomes Vanessa Quaciari , Senior eDiscovery Counsel at Baker Botts, to discuss improvements in collection, review, and production that can help you manage collaboration data and scale your approach as the evolution continues. This episode's sighting of radical brilliance: ChatGPT If you enjoyed the show, learn more about our speakers and subscribe on lawandcandor.com , rate us wherever you get your podcasts, and join in the conversation on LinkedIn and  Twitter .  , chat-and-collaboration-data; ediscovery-review, collections, review, emerging data sources, podcast, production, chat-and-collaboration-data, ediscovery-review, collections; review; emerging-data-sources; podcast; production
March 29, 2023
Podcast
review, ai/big data, podcast, managed review, ai-and-analytics, legal-operations

Optimizing Review with Your Legal Team, AI, and a Tech-Forward Mindset

Lighthouse‚Äôs Mary Newman, Executive Director of Managed Review, joins the podcast to explore how adopting a technology-forward mindset can provide better results for document review teams.,   To keep up with the big data challenges in modern review, adopting a technology-enabled approach is critical. Modern technology like AI can help case teams defensibly cull datasets and gain unprecedented early insight into their data. But if downstream document review teams are unable to optimize technology within their workflows and review tasks, many of the early benefits gained by technology can quickly be lost. Lighthouse‚Äôs Mary Newman , Executive Director of Managed Review, joins the podcast to explore how document review teams that adopt a technology-forward mindset can provide better review results now and in the future. This episode's sighting of radical brilliance: An A.I. Pioneer on What We Should Really Fear , New York Times,  December 21, 2022.  If you enjoyed the show, learn more about our speakers and subscribe on lawandcandor.com , rate us wherever you get your podcasts, and join in the conversation on LinkedIn and  Twitter .  , ai-and-analytics; legal-operations; lighting-the-way-for-review; lighting-the-path-to-better-review; lighting-the-path-to-better-ediscovery, review, ai/big data, podcast, managed review, ai-and-analytics, legal-operations, review; ai-big-data; podcast; managed-review
March 29, 2023
Podcast
podcast, data reuse, document review, chat-and-collaboration-data, ediscovery-review

Why Your Data is Key to Reducing Risk and Increasing Efficiency During Investigations and Litigation

Cassie Blum, Senior Director of Review Consulting at Lighthouse, discusses how to implement a data reuse strategy, including what technology and workflows can optimize its success.,   Handling large volumes of data during an investigation or litigation can be anxiety-inducing for legal teams. Corporate datasets can become a minefield of sensitive, privileged, and proprietary information that legal teams must identify as quickly as possible in order to mitigate risk. Ironically, corporate data also provides a key to speeding up and improving this process. By reusing metadata and work product from past matters in combination with advanced analytics, organizations can significantly reduce risk and increase efficiency during the review process. Law & Candor welcomes Cassie Blum , Senior Director of Review Consulting at Lighthouse, to discuss how to implement this data strategy, including what technology and workflows can optimize its success. This episode's sighting of radical brilliance:  7 Ways to be a more inclusive colleague ,  Fast Company , February 24, 2023. If you enjoyed the show, learn more about our speakers and subscribe on lawandcandor.com , rate us wherever you get your podcasts, and join in the conversation on LinkedIn and  Twitter . , chat-and-collaboration-data; ediscovery-review; lighting-the-path-to-better-ediscovery, podcast, data reuse, document review, chat-and-collaboration-data, ediscovery-review, podcast; data-reuse; document-review
December 15, 2022
Podcast
review, data-re-use, ai/big data, podcast, ai-and-analytics, ediscovery-review

Review Analytics for a New Era

Law & Candor welcomes Kara Ricupero, Associate General Counsel at eBay, for a conversation about how analytics and reimagining review can help solve data challenges and advance business imperatives., In episode two, we introduce our new co-host Paige Hunt , Vice President of Global Discovery Solutions at Lighthouse, who will be joining Bill Mariano as our guide through the legal technology revolution. In their first Sighting of Radical Brilliance together they chat about an article in Wired that explores the rise of the AI meme machine, DALL-E Mini . Then, Paige and Bill interview Kara Ricupero , Associate General Counsel and Head of Global Information Governance, eDiscovery, and Legal Analytics at eBay. They explore how a dynamic combination of new technology and human expertise is helping to usher in new approaches to review and analytics that can help tackle modern data challenges. Other questions they dive into, include: How did you identify the kind of advanced technology needed for modern data challenges?   Partnering with the right people and experts across the business to utilize technology and insights seems to be a big part of the equation. How did you work with other stakeholders to leverage analytics?  With new analytics and intelligence, has it changed how you approach review on matters or other processes? How do you think utilizing analytics will evolve as data and review continue to change? What kinds of problems do you think it can help solve?  If you enjoyed the show, learn more about our speakers and subscribe on the  podcast homepage , listen and rate the show wherever you get your podcasts, and join in the conversation on  Twitter .  , ai-and-analytics; ediscovery-review; lighting-the-way-for-review; lighting-the-path-to-better-review; lighting-the-path-to-better-ediscovery, review, data-re-use, ai/big data, podcast, ai-and-analytics, ediscovery-review, review; data-re-use; ai-big-data; podcast
March 29, 2023
Podcast
microsoft, emerging data sources, podcast, record management, microsoft-365, chat-and-collaboration-data

Everything Dynamic Everywhere: Managing a More Collaborative Microsoft 365

Emily Dimond, Managing Senior Counsel, eDiscovery, at PNC Bank, shares practical strategies for managing updates in Microsoft 365 and how to develop an agile governance program.,   Collaborative technology‚Äîgreat for employee productivity but often challenging for legal and IT departments. Balancing the risk and reward requires a deep understanding of ever evolving updates while proactively managing those changes. As organizations adopt cloud-based enterprise software like Microsoft 365, previous change management and governance approaches are often no longer sufficient. Emily Dimond , Managing Senior Counsel, eDiscovery, at PNC Bank, shares practical strategies for managing updates in M365, including recent changes to transcripts and loop components, and how to develop a strong governance program equipped for today‚Äôs dynamic landscape.  This episode's sighting of radical brilliance:  Where is Tech Going in 2023? Harvard Business Review,  January 26, 2023. If you enjoyed the show, learn more about our speakers and subscribe on lawandcandor.com , rate us wherever you get your podcasts, and join in the conversation on LinkedIn and  Twitter .  , microsoft-365; chat-and-collaboration-data; lighting-the-path-to-better-information-governance, microsoft, emerging data sources, podcast, record management, microsoft-365, chat-and-collaboration-data, microsoft; emerging-data-sources; podcast; record-management
March 31, 2022
Podcast
cloud migration, legacy data remediation, legal holds, podcast, record management, preservation, risk management, data-privacy, chat-and-collaboration-data, microsoft-365,

Spring Cleaning for Legal Teams: The Cloud and Defensible Deletion of Data

Law & Candor welcomes Erika Namnath of Lighthouse to discuss new challenges with data retention and deletion in the Cloud, developing a defensible disposal program, and getting stakeholder buy-in., To kick off the show, Bill Mariano and Rob Hellewell discuss another Sighting of Radical Brilliance: How scientists are using AI to identify new drug combinations for children with incurable brain cancer. Next, they interview Erika Namnath  from Lighthouse about how to develop a sound and efficient defensible deletion program and the benefits of getting buy-in for it throughout an organization. Some of the key questions they discuss include: Defensible disposal of data continues to be a key challenge for eDiscovery and information governance programs. Why has this issue persisted and how has it evolved? Historically, because of the risk of deleting important information or not being able to defend deletion, teams have defaulted to saving as much as possible. Why is this approach becoming increasingly impossible and even poses a greater risk? How should leaders approach developing a data retention and disposal program or updating their existing one? When developing these retention policies and updates, we often hear challenges with legacy data and legal holds. How can teams wrap their heads around existing data while also considering what they‚Äôre retaining today?  It seems a significant challenge for these programs is gaining stakeholder buy-in and assigning ownership for retention and deletion. What can leaders do to tackle this? Our co-hosts wrap up the episode with a few key takeaways. If you enjoyed the show, learn more about our speakers and subscribe on the podcast homepage , rate us wherever you get your podcasts, and join in the conversation on Twitter .  Related Links : Blog post: Cloud Adaptation: How Legal Teams Can Implement Better Information Governance Structures for Evolving Software Blog post: Making the Case for Information Governance and Why You Should Address It Now Podcast: Achieving Information Governance through a Transformative Cloud Migration Article: Scientists use AI to identify new drug combination for children with incurable brain cancer About Law & Candor   Law & Candor is a podcast wholly devoted to pursuing the legal technology revolution. Co-hosts Bill Mariano and Rob Hellewell explore the impacts and possibilities that new technology is creating by streamlining workflows for eDiscovery, compliance, and information governance. To learn more about the show and our speakers, visit the podcast homepage .  , data-privacy; chat-and-collaboration-data; microsoft-365, cloud migration, legacy data remediation, legal holds, podcast, record management, preservation, risk management, data-privacy, chat-and-collaboration-data, microsoft-365,, cloud-migration; legacy-data-remediation; legal-holds; podcast; record-management; preservation; risk-management
December 15, 2022
Podcast
collections, emerging data sources, departing/onboarding employee, podcast, preservation, risk management, chat-and-collaboration-data, data-privacy, digital-forensics,

Data Governance for the BYOD Age

Our hosts chat with Lighthouse's John Bair about implementing proactive data management programs and emerging challenges with remote working, including mobile devices and collaboration data., Law & Candor returns for Season 10 with co-hosts  Bill Mariano  and Rob Hellewell. They kick off the episode with a discussion of a Harvard Business Review article about the ways AI can make strategy more human. Next they are joined by John Bair , Senior Consultant in Digital Forensics at Lighthouse, to discuss bring your own device (BYOD) policies, implementing proactive data management programs, and emerging data challenges with remote working. Some questions that they tackle include: From a data governance and management perspective, what are the greatest challenges that have emerged from working from home and BYOD policies? Many organizations may have governance programs in place but still struggle with new data sources or devices. What can make some programs inadequate to face these changes? For those needing to refresh their governance approach, or build something new, what advice do you have for creating a more proactive program to get ahead of these data challenges? How should legal teams work with IT to ensure these types of programs are a success? How should we think about their roles? As mobile devices and virtual work continue to advance, how can teams ensure their data governance programs keep pace? If you enjoyed the show, learn more about our speakers and subscribe on the  podcast homepage , listen and rate the show wherever you get your podcasts, and join in the conversation on  Twitter .  , chat-and-collaboration-data; data-privacy; forensics; lighting-the-path-to-better-information-governance, collections, emerging data sources, departing/onboarding employee, podcast, preservation, risk management, chat-and-collaboration-data, data-privacy, digital-forensics,, collections; emerging-data-sources; departing-onboarding-employee; podcast; preservation; risk-management
March 25, 2022
Podcast
ccpa, gdpr, dsars, cross border data transfers, pii, podcast, privacy shield, data-privacy,

Mapping Updates to Data Privacy Regulations Worldwide

Our hosts chat with Lighthouse's Sarah Morgan about updates to privacy regulations in the U.S., Europe, and China, how they're impacting businesses, and what's next on the horizon., Bill Mariano and Rob Hellewell kick off this episode with another segment of Sightings of Radical Brilliance, where they discuss major privacy changes by Google and Apple in their mobile software. Next, our hosts chat with Sarah Moran , eDiscovery Evangelist and Proposal Content Strategist at Lighthouse, about updates to privacy regulations in the U.S., Europe, and China. They also dive into the following key questions: How is the enforcement of GDPR impacting businesses? How has the UK‚Äôs departure from the EU impacted privacy compliance? With so many states pursuing their own privacy regulations, do we anticipate any movement on a federal level? Beyond the U.S. and Europe, what does the privacy landscape look like internationally? Our co-hosts wrap up the episode with a few key takeaways. If you enjoyed the show, learn more about our speakers and subscribe on the podcast homepage , rate us wherever you get your podcasts, and join in the conversation on Twitter .  Related Links : Blog post: 2021 Data Privacy Overview: New Regulations and Guidance Blog post: Navigating the Intersections of Data, Artificial Intelligence, and Privacy Blog post: The Impact of Schrems II & Key Considerations for Companies Using M365: The Cloud Environment Article: Google Plans Privacy Changes, but Promises to Not Be Disruptive , data-privacy, ccpa, gdpr, dsars, cross border data transfers, pii, podcast, privacy shield, data-privacy,, ccpa; gdpr; dsars; cross-border-data-transfers; pii; podcast; privacy-shield
December 15, 2022
Podcast
gdpr, cross border data transfers, podcast, privacy shield, data-privacy, chat-and-collaboration-data, ai and analyics, microsoft-365

Anonymization and AI: Critical Technologies for Moving eDiscovery Data Across Borders

Our hosts are joined by Lighthouse's Damian Murphy for a lively chat about what AI solutions can be deployed to optimize eDiscovery workflows and maximize data insights while adhering to privacy laws., In this episode's Sighting of Radical Brilliance, our hosts discuss strategies for putting your data to work outlined in a recent Harvard Business Review article. To elucidate the complexities of moving data across borders, Lighthouse's Damian Murphy , Executive Director of Advisory Services in EMEA, joins the podcast. With Paige and Bill, Damian explains recent updates to data transfer policies, and what AI solutions can be deployed to optimize eDiscovery workflows and maximize data insights while adhering to privacy laws. Some key questions they answer, include: With fines continuing to be issued for GDPR violations and organizations grappling with how to transfer data across regions, data privacy is still not a resolved issue. What are some recent policy changes our audience should be aware of? How have these created challenges for the ways that data is managed and how organizations can ultimately utilize it? Many of our listeners are likely aware of how anonymization and pseudonymization are being utilized, but can you remind us how they work? Is there a typical approach for a client faced with the need to supply data held within the EU in order to comply with an eDiscovery order in the US? If the past is any indication, we should expect privacy policies to continue to change and impact data governance. How are anonymization and pseudonymization, and other approaches, helping prepare for what‚Äôs on the horizon? If you enjoyed the show, learn more about our speakers and subscribe on the  podcast homepage , rate us wherever you get your podcasts, and join in the conversation on  Twitter .  , data-privacy; chat-and-collaboration-data; microsoft-365; practical-applications-of-ai-in-ediscovery, gdpr, cross border data transfers, podcast, privacy shield, data-privacy, chat-and-collaboration-data, ai and analyics, microsoft-365, gdpr; cross-border-data-transfers; podcast; privacy-shield
December 15, 2022
Podcast
podcast, dei, diversity-equity-and-inclusion

A Journey from One to All in Legal with Diversity, Equity, and Inclusion

Lighthouse's Reem Saffouri joins Law & Candor to share her personal journey and discuss how individuals can create greater equity and inclusion at work, in their industry, and beyond., Our hosts begin the show with another Sighting of Radical Brilliance, an article in Forbes about one of the most powerful sources of big data your company already owns . Then, Reem Saffouri , Vice President of Clients Solutions and Success at Lighthouse, joins the podcast to share her personal journey and discuss how individuals can create greater equity and inclusion at work, in their industry, and beyond. Here are some of the key questions they dive into: Although it‚Äôs a seemingly simple act, why don‚Äôt more people share their personal experiences and why is it so important for DEI efforts?  Hearing about structural challenges to DEI can be intimidating and somewhat demoralizing. But along with sharing personal experiences what can individuals do to champion DEI at their organizations?  There are nuances and specific solutions that work in each industry for improving equity and inclusion. What are you seeing in legal and legal tech that‚Äôs moving the needle? As you look to the future, what aspects of DEI are you hoping to impact?  If you enjoyed the show, learn more about our speakers and subscribe on the  podcast homepage , rate us wherever you get your podcasts, and join in the conversation on  Twitter .  , diversity-equity-and-inclusion, podcast, dei, diversity-equity-and-inclusion, podcast; dei
December 15, 2022
Podcast
self-service, spectra, podcast, ediscovery-and-review, ai-and-analytics

Investigative Power: Utilizing Self Service Solutions for Internal Investigations

Our hosts chat with Justin Van Alstyne, Senior Corporate Counsel at T-Mobile, about best practices for handling internal investigations including the self service tools that have been most effective., Paige and Bill start the show with new and exciting research from MIT Sloan on artificial intelligence and machine learning.  Next, their interview with  Justin Van Alstyne , Senior Corporate Counsel, Discovery and Information Governance at T-Mobile. They dive into internal investigations, including how a simple, on-demand software solution can offer the scalability and flexibility teams need to manage investigations with varying amounts of data. Some other questions they explore are: How we collaborate and work has changed immensely over the past few years and that evolution doesn‚Äôt appear to be slowing down. How have new tools and data sources complicated conducting internal investigations?  With organizations encountering investigations of different sizes and degree, what workflows or approaches have you found are most flexible to respond to this variability? Along with process, technology is another key part of the equation. When choosing the right technology for internal investigations, what are some of your high-priority considerations? Are there any features that are must-haves? For people contemplating deploying a self service solution, what advice do you give to ensure your team has the right level of expertise and technology to handle their internal investigations at scale? If you enjoyed the show, learn more about our speakers and subscribe on the  podcast homepage , rate us wherever you get your podcasts, and join in the conversation on  Twitter .  , ediscovery-review; ai-and-analytics; lighting-the-path-to-better-ediscovery, self-service, spectra, podcast, ediscovery-and-review, ai-and-analytics, self-service, spectra; podcast
April 13, 2022
Podcast
microsoft, cloud services, podcast, microsoft-365, information-governance

Microsoft 365 and the Age of Automation

Microsoft‚Äôs Stefanie Bier joins Law & Candor to delve into the key types of automation required to support Microsoft 365 at scale for large organizations using Core or Advanced eDiscovery., Bill Mariano and Rob Hellewell bring listeners another Sighting of Radical Brilliance. They discuss an episode of Fast Company‚Äôs podcast Innovation Unrestricted that explores how companies can incorporate diversity and inclusion into product design. They are then joined by Stefanie Bier , Senior Program Manager at Microsoft, to chat about how to deploy critical automation in Microsoft 365 and key updates on the horizon. Some questions they explore, include:  Automation is increasingly becoming a critical component of managing data and scaling programs. What are some of the new ways collaboration platforms, specifically M365, have introduced automation? What are the benefits of adopting these automated processes?  What are some of the key types of automation that are necessary to optimize M365?   With the cloud and automated updates, platforms are undergoing faster changes than ever before. How do you stay on top of them and ensure there‚Äôs cross-functional alignment at your organization? Whether it‚Äôs fear of error or worry about loss of control, some are reticent to automate certain aspects of their programs. What are the risks in not adopting automation? Our co-hosts wrap up the episode with advice for amplifying other women‚Äôs voices in the legal and technology industries and some key takeaways. If you enjoyed the show, learn more about our speakers and subscribe on the podcast homepage , listen and rate the show wherever you get your podcasts, and join in the conversation on Twitter .  Related Links   Podcast: Understanding Microsoft 365 Unindexed Items Blog post: An Introduction to Managing Microsoft 365 Updates that Present Legal and Compliance Considerations Blog post: Breaking the Bias: Strategies from Top Women Leaders in Legal Technology Podcast: Innovation Unrestricted ‚Äì How companies can incorporate diversity and inclusion into product design , microsoft-365; information-governance, microsoft, cloud services, podcast, microsoft-365, information-governance, microsoft; cloud-services; podcast
March 25, 2022
Podcast
podcast, diversity-equity-and-inclusion,

Leading in Legal with Inclusive Mentorship

Kelly McGill, Chief People Officer at Lighthouse, discusses the value of mentorship, what a good mentorship program looks like in a virtual work environment, and how to create inclusive cultures., Kicking off season 9 of Law & Candor, co-hosts Bill Mariano and Rob Hellewell , welcome listeners back for a celebration of Women‚Äôs History Month. Each guest this season is a woman breaking bias, advancing technology, and championing inclusion in the legal and technology industries. First, they dive into Sightings of Radical Brilliance, discussing a Harvard Business Review article about being a better ally in a remote workplace . Bill and Rob are then joined by Kelly McGill , Chief People Officer at Lighthouse, to chat about the value of mentorship, what a good mentorship program looks like in a virtual or hybrid work environment, and how to create a more inclusive culture. Some key questions they explore, include:  Why is mentorship so powerful? What should people seek in a mentor and what makes a good mentee? What are best practices for mentoring in a virtual environment? How does mentorship contribute to more inclusive cultures? Our co-hosts wrap up the episode with advice for amplifying other women‚Äôs voices and key takeaways. If you enjoyed the show, learn more about our speakers and subscribe on the podcast homepage , listen and rate the show wherever you get your podcasts, and join in the conversation on Twitter .  Related Links   Blog post: Breaking the Bias: Strategies from Top Women Leaders in Legal Technology Blog post: Charting the Path to Progress: A Conversation with Economic Forecaster Marci Rossell and Lighthouse CEO Brian McManus Podcast: Diversity and eDiscovery: How Diverse Hiring Practices Lead to a More Innovative Workforce Article: Managers, Here‚Äôs How to Be a Better Ally in the Remote Workplace , diversity-equity-and-inclusion, podcast, diversity-equity-and-inclusion,, podcast
March 25, 2022
Podcast
podcast, project management, risk management, ai-and-analytics, legal-operations, ediscovery-review,

Legal’s Balancing Act: Risk, Innovation, and Advancing Strategic Priorities

Megan Ferraro, Associate General Counsel, eDiscovery & Information Governance at Meta, joins Law & Candor to discuss the pivotal role legal is playing in helping innovation thrive while managing risk., Co-hosts Bill Mariano and Rob Hellewell start the show with Sightings of Radical Brilliance. In this episode, they review an article in Reuters exploring lawyer attrition and the ‚Äúgreat resignation.‚Äù Next, their interview with Megan Ferraro , Associate General Counsel, eDiscovery & Information Governance, Meta. They discuss the delicate balance that must be struck between risk and innovation and explore some of the following questions: How did the legal function evolve to play a bigger role in corporate strategy and innovation? What are the broader trends in the ways legal teams are supporting innovation? With businesses growing, adding new technology, and pivoting strategy quickly, what are the most critical risk challenges legal teams face today? How can legal best work with other functions in an organization to ensure strategic priorities are advanced‚Äîthrough new deals or technology, for example‚Äîwhile also balancing the risk factors?  Our co-hosts wrap up the episode with a few key takeaways. If you enjoyed the show, learn more about our speakers and subscribe on the podcast homepage , rate us wherever you get your podcasts, and join in the conversation on Twitter .  Related Links   Blog post: Analytics and Predictive Coding Technology for Corporate Attorneys: Six Use Cases Podcast: Innovating the Legal Operations Model Blog post: What Skills Do Lawyers Need to Excel in a New Era of Business? Blog post: Purchasing AI for eDiscovery: Tips and Best Practices Article: To stem lawyer attrition, law firms must look beyond cash - report , ai-and-analytics; legal-operations; ediscovery-review, podcast, project management, risk management, ai-and-analytics, legal-operations, ediscovery-review,, podcast; project-management; risk-management
November 16, 2021
Podcast
privilege, review, ai/big data, tar/predictive coding, podcast, production, ai-and-analytics, ediscovery-review

Staying Ahead of the AI Curve

Our hosts and Harsha Kurpad of Latham Watkins discuss how to stay apprised of changes in AI technology in the ediscovery space and practical applications for more advanced analytics tools., Co-hosts Bill Mariano and Rob Hellewell start the show with Sightings of Radical Brilliance. In this episode, they review a recent  New York Times article by Cade Metz that explores how new organizations are using AI to find bias in AI . Next, they bring on Harsha Kurpad of Latham Watkins who answers the following questions around staying ahead of AI innovation in legal technology: What are some current barriers to adopting AI? How do you stay apprised of new AI technology, tools, and solutions? What are new data challenges that are leading to a greater adoption of AI or requiring the use of more sophisticated tools? How are government entities like the FTC and DOJ changing how AI is being used and what is required during investigations?  What are some best practices for training algorithms and staying on top of new approaches to training? What are some of the risks in not adopting AI or not staying apprised of changes to the tools, platforms, and how it‚Äôs being used. Our co-hosts wrap up the episode with a few key takeaways. If you enjoyed the show, learn more about our speakers and subscribe on the podcast homepage , rate us on Apple and Stitcher , and join in the conversation on Twitter . Related Links White Paper: The Challenge with Big Data Blog Post: What Attorneys Should Know About Advanced AI in eDiscovery: A Brief Discussion Podcast: AI and Analytics for Corporations: Common Use Cases Blog Post: What is the Future of TAR in eDiscovery? (Spoiler Alert ‚Äì It Involves Advanced AI and Expert Services) , ai-and-analytics; ediscovery-review, privilege, review, ai/big data, tar/predictive coding, podcast, production, ai-and-analytics, ediscovery-review, privilege; review; ai-big-data; tar-predictive-coding; podcast; production
November 16, 2021
Podcast
microsoft, emerging data sources, podcast, record management, preservation, microsoft-365, chat-and-collaboration-data, information-governance,

Understanding Microsoft 365 Unindexed Items

James Hart of Lighthouse and our hosts discuss this complex aspect of Microsoft 365 eDiscovery, identify best practices and mitigation strategies, and proactive tips for the future., Law & Candor co-hosts Bill Mariano and Rob Hellewell kick things off with Sightings of Radical Brilliance, in which they discuss a framework for building accountability into AI from an article in Harvard Business Review by Stephen Sanford . In this episode, Bill and Rob are joined by James Hart of Lighthouse. They discuss this critical component of Microsoft 365 and its important role in maximizing the effectiveness of ediscovery workflows and mitigation strategies. Key questions from their conversation include: What are unindexed items and how critical are they to efficiency in ediscovery workflows? After identifying unindexed items, what is the next step and how do you approach it? What are some key strategies for handling unindexed items? How are different organizations approaching unindexed items from a policy perspective? What are best practices for approaching this unique issue in Microsoft 365? In conclusion, our co-hosts end the episode with key takeaways. If you enjoyed the show, learn more about our speakers and subscribe on the podcast homepage , rate us on Apple and Stitcher , and join in the conversation on Twitter . Related Links Blog Post: An Introduction to Managing Microsoft 365 Updates that Present Legal and Compliance Considerations Blog Post: Making the Case for Information Governance and Why You Should Address It Now White Paper: The Impact of Schrems II and Key Considerations for Companies Using M365 Podcast: Keeping Up with M365 Software Updates , microsoft-365; chat-and-collaboration-data; information-governance; lighting-the-path-to-better-information-governance, microsoft, emerging data sources, podcast, record management, preservation, microsoft-365, chat-and-collaboration-data, information-governance,, microsoft; emerging-data-sources; podcast; record-management; preservation
March 31, 2022
Podcast
ai/big data, tar/predictive coding, hsr second requests, podcast, acquisitions, mergers, ai-and-analytics, antitrust

Closing the Deal: Deploying the Right AI Tool for HSR Second Requests

Gina Willis of Lighthouse joins the podcast to explore some of the modern challenges of HSR Second Requests and how a combination of expertise and AI technology can lead to faster and better results., Bill Mariano and Rob Hellewell kick off this episode with another segment of Sightings of Radical Brilliance, where they discuss JPMorgan becoming the first bank to have a presence in the metaverse. Next, our hosts chat with Gina Willis , Analytics Consultant at Lighthouse, about how the right AI tool and expertise can help with HSR Second Requests. They also dive into the following key questions: What are some of the contemporary challenges with Second Requests? What AI tools are helping with some of these modern challenges? For Second Requests, what interaction and feedback between attorneys and AI algorithms is optimal to ensure substantial compliance is reached efficiently? Are there some best practices for improving this relationship‚Äîdeploying the AI better or optimizing algorithms? Our co-hosts wrap up the episode with a few key takeaways. If you enjoyed the show, learn more about our speakers and subscribe on the podcast homepage , rate us wherever you get your podcasts, and join in the conversation on Twitter .  Related Links : Blog post: Deploying Modern Analytics for Today‚Äôs Critical Data Challenges in eDiscovery Blog post: Biden Administration Executive Order on Promoting Competition: What Does it Mean and How to Prepare Article: JPMorgan bets metaverse is a $1 trillion yearly opportunity as it becomes first bank to open in virtual world , ai-and-analytics; antitrust; practical-applications-of-ai-in-ediscovery, ai/big data, tar/predictive coding, hsr second requests, podcast, acquisitions, mergers, ai-and-analytics, antitrust, ai-big-data; tar-predictive-coding; hsr-second-requests; podcast; acquisitions; mergers
November 16, 2021
Podcast
ccpa, gdpr, cybersecurity, emerging data sources, pii, podcast, hipaa/phi, data-privacy, information-governance

Getting Personal—Wearable Devices, Data, and Compliance

Thora Johnson of Orrick joins Bill and Rob to discuss the new data landscape with wearable devices and health apps, and how it has impacted data compliance, cybersecurity, and privacy concerns., In the final episode of the season, co-hosts Bill Mariano and Rob Hellewell review a New Yorker piece by Kyle Chayka about the beauty and uncanniness of AI-created images delivered by the Twitter handle @images_ai. The co-hosts then bring on Thora Johnson of Orrick for a riveting discussion about the rise in wearable devices and the personal data they‚Äôre collecting. They discuss the fascinating innovation in health-related technology and apps and the significant data compliance, privacy, and cybersecurity issues that are accompanying it. Some key questions from their conversation include:  Beyond the more well-known wearable devices and health-related apps, what others are out there and what types of data are they collecting? The proliferation of data these devices and apps are generating have created a unique set of intersecting compliance, security, and privacy challenges‚Äîwhat are some of the most critical to understand? How can teams mitigate the risk of a cyber breach? And in the event it does happen, what are best practices in terms of responding to a breach? What should attorneys and legal teams know about the FTC‚Äôs recent announcement that it plans to ‚Äúvigorously‚Äù enforce its 2009 Health Breach Notification rule? What regulatory issues related to apps collecting genetic information that people should be aware of? The season ends with key takeaways from the guest speaker section. If you enjoyed the show, learn more about our speakers and subscribe on the podcast homepage , rate us on Apple and Stitcher , and join in the conversation on Twitter . , data-privacy; information-governance, ccpa, gdpr, cybersecurity, emerging data sources, pii, podcast, hipaa/phi, data-privacy, information-governance, ccpa; gdpr; cybersecurity; emerging-data-sources; pii; podcast; hipaa-phi
November 16, 2021
Podcast
review, emerging data sources, ai/big data, podcast, ai-and-analytics, ediscovery-review

Finding Lingua Franca: The Power of AI and Linguistics for Legal Technology

In this episode, Amanda Jones of Lighthouse will illuminate some common challenges and pitfalls that can arise with modern language in ediscovery., In the very first episode of season eight, co-hosts Bill Mariano and Rob Hellewell  introduce themselves and welcome listeners back for another riveting season of Law & Candor, the podcast wholly devoted to pursuing the legal technology revolution. They start off with some exciting news about Lighthouse and the recent acquisition of H5 . They then dive into Sightings of Radical Brilliance, the part of the show highlighting the latest news of noteworthy innovation and acts of sheer genius. In this episode, they discuss an article in the AP that investigates how AI-powered tech landed a man in jail with scant evidence . Bill and Rob discuss the case and the AI technology involved, and what questions this raises regarding scientifically validating AI and its use as evidence in criminal cases. Bill and Rob are then joined by Amanda Jones of Lighthouse to discuss common challenges and pitfalls that can arise with modern language in ediscovery, and the interplay between AI and linguistics. Some key questions they explore, include: What is linguistic modeling? What are the critical challenges with modern language and ediscovery today? How is linguistics informing and impacting AI in ediscovery? What are best practices for implementing AI solutions and tools? Our co-hosts wrap up the episode with a few key takeaways. If you enjoyed the show, learn more about our speakers and subscribe on the podcast homepage , rate us on Apple and Stitcher , and join in the conversation on Twitter . , ai-and-analytics; ediscovery-review, review, emerging data sources, ai/big data, podcast, ai-and-analytics, ediscovery-review, review; emerging-data-sources; ai-big-data; podcast
November 16, 2021
Podcast
privilege, review, ai/big data, tar/predictive coding, podcast, ediscovery-review, ai-and-analytics

eDiscovery Review: Family Vs. Four Corner

Pooja Lalwani of Lighthouse and our hosts discuss these two ediscovery review methodologies, and walk through the advantages and disadvantages of both and which better supports AI technology., Bill Mariano and Rob Hellewell kick off this episode with another segment of Sightings of Radical Brilliance, where they discuss Dalvin Brown’s piece in the Washington Post about how AI was used to recreate actor Val Kilmer’s voice . Bill and Rob consider this great scientific achievement along with the potentially nefarious ways it can used. Next, our hosts chat with Pooja Lalwani of Lighthouse about two key approaches to ediscovery review: family and four corner. Pooja helps break down the benefits and drawbacks of each through questions such as: What are some of the key differences between both approaches? With modern communication platforms and data creating a more dynamic and complex review process, what are some of the considerations for when and how to deploy family and four corner review? What review methodology is better suited to supporting TAR and AI tools? How do these review methodologies either help classify privilege more efficiently or potentially create limitations? Our co-hosts wrap up the episode with a few key takeaways. If you enjoyed the show, learn more about our speakers and subscribe on the podcast homepage , rate us on Apple and Stitcher , and join in the conversation on Twitter . , ediscovery-review; ai-and-analytics; lighting-the-way-for-review; lighting-the-path-to-better-review, privilege, review, ai/big data, tar/predictive coding, podcast, ediscovery-review, ai-and-analytics, privilege; review; ai-big-data; tar-predictive-coding; podcast
November 16, 2021
Podcast
collections, tar/predictive coding, hsr second requests, processing, podcast, data reuse, project management, ediscovery-review, ai-and-analytics

Achieving Cross-Matter Review Discipline, Cost Control, and Efficiency

Bill and Rob bring on Jason Rylander of Axinn to discuss techniques for unifying matter data across an organization's portfolio and how it can save significant time and money on document review., Join co-hosts Bill Mariano and Rob Hellewell as they discuss a law firm that only works on artificial intelligence and whether this is an emerging trend for the industry. Next, they‚Äôre joined by Jason Rylander of Axinn to discuss the antitrust landscape, benefits of cross-matter review, and techniques for unifying matter data across an organization‚Äôs portfolio. Jason and our hosts walk through key questions, including: With a new administration and the continued disruption from COVID, has there been an increase in the volume of antitrust matters, investigations, and litigation? What are some of the challenges or disadvantages of doing the traditional single-matter document review? What are some strategies for identifying work product or data that can be reused or repurposed?  What are some best practices when connecting matters?  Our co-hosts wrap up the episode with a few key takeaways. If you enjoyed the show, learn more about our speakers and subscribe on the podcast homepage , rate us on Apple and Stitcher , and join in the conversation on Twitter . , ediscovery-review; ai-and-analytics, collections, tar/predictive coding, hsr second requests, processing, podcast, data reuse, project management, ediscovery-review, ai-and-analytics, collections; tar-predictive-coding; hsr-second-requests; processing; podcast; data-reuse; project-management
March 23, 2021
Podcast
legal ops, podcast, legal-operations

Innovating the Legal Operations Model

In the second episode of season seven, co-hosts¬†Bill Mariano and¬†Rob Hellewell kick off the show with¬†Sightings of Radical Brilliance. In this episode, they review a recent NY Times article..., In the second episode of season seven, co-hosts  Bill Mariano and  Rob Hellewell kick off the show with Sightings of Radical Brilliance. In this episode, they review a recent NY Times article written by  Brian Chen that focuses on the  tech that will invade our lives in 2021 . Next, they bring on  Julie Johnson of Align who answers the following questions around innovation in legal operations:  How has Covid impacted legal departments and budgets in general?  Why did this bring about the need to focus on innovation and automation? What are some of the newer innovations/solutions you are seeing your fellow legal operations peers adopt? What recommendations would you share with those looking to adopt technology and drive efficiency? What advice would you give to other women in the ediscovery industry looking to move their careers forward? Our co-hosts wrap up the episode with a few key takeaways. If you enjoyed the show, learn more about our speakers and subscribe on the  podcast homepage , rate us on  Apple and  Stitcher , and join in the conversation on  Twitter . , legal-operations, legal ops, podcast, legal-operations, legal-ops; podcast
March 23, 2021
Podcast
microsoft, podcast, microsoft-365, information-governance, chat-and-collaboration-data,

Keeping Up with M365 Software Updates

In the fourth episode of the seventh season, co-hosts¬†Bill Mariano and¬†Rob Hellewell discuss¬†why diversity in AI is important and how this could impact legal outcomes and decisions.¬†Next, they..., In the fourth episode of the seventh season, co-hosts  Bill Mariano and  Rob Hellewell discuss  why diversity in AI is important and how this could impact legal outcomes and decisions.  Next, they introduce their guest speaker,  Jamie Brown of Lighthouse, who uncovers key strategies to keep up with the constant flow of Microsoft 365 software updates. Jamie answers the following questions (and more) in this episode: What are some of the common challenges associated with M365‚Äôs rapid software updates? How do these constant updates lead to compliance risks? What are some best practices for overcoming these challenges? What recommendations would you pass along to those who are experiencing these challenges? What advice would you give to other women in the ediscovery industry looking to move their careers forward? Our co-hosts wrap up the episode with a few key takeaways. If you enjoyed the show, learn more about our speakers and subscribe on the  podcast homepage , rate us on  Apple and  Stitcher , and join in the conversation on  Twitter . , microsoft-365; information-governance; chat-and-collaboration-data, microsoft, podcast, microsoft-365, information-governance, chat-and-collaboration-data,, microsoft; podcast
March 23, 2021
Podcast
microsoft, podcast, chat-and-collaboration-data, microsoft-365

Efficiently and Defensibly Addressing Microsoft Teams Data

Bill Mariano and¬†Rob Hellewell kick off episode 3 with another segment of¬†Sightings of Radical Brilliance, where they discuss¬†Anis Uzzaman‚Äôs Inc.com article that dives into 2021 business and..., Bill Mariano and  Rob Hellewell kick off episode 3 with another segment of Sightings of Radical Brilliance, where they discuss  Anis Uzzaman‚Äôs Inc.com article that dives into 2021 business and technology trends . Bill and Rob review these trends and discuss how they will have an impact on the space. Next, Bill and Rob chat with  Royce Cohen of Lighthouse about key ways to efficiently and defensibly address Microsoft Teams data. In this interview, Royce uncovers the answers to the following questions:  How do you achieve a balance between encouraging collaboration amongst colleagues and the ediscovery impact of that collaboration?  What are some of the challenges associated with the rise in Teams data? How do you overcome those challenges? How do organizations ensure they are overcoming those challenges efficiently and defensibly?  What advice would you give to other women in the ediscovery industry looking to move their careers forward? Our co-hosts wrap up the episode with a few key takeaways. If you enjoyed the show, learn more about our speakers and subscribe on the  podcast homepage , rate us on  Apple and  Stitcher , and join in the conversation on  Twitter . Related Links Blog Post:  Key Compliance & Information Governance Considerations As You Adopt Microsoft Teams Podcast: Tackling Modern Attachment and Link Challenges in G-Suite, Slack, and Teams , chat-and-collaboration-data; microsoft-365, microsoft, podcast, chat-and-collaboration-data, microsoft-365, microsoft; podcast
March 23, 2021
Podcast
podcast, diversity-equity-and-inclusion,

Diversity and eDiscovery: How Diverse Hiring Practices Lead to a More Innovative Workforce

In the very first episode of season seven, co-hosts¬†Bill Mariano and¬†Rob Hellewell, introduce themselves and welcome listeners back for another riveting season of Law & Candor, the¬†podcast wholly..., In the very first episode of season seven, co-hosts  Bill Mariano and  Rob Hellewell , introduce themselves and welcome listeners back for another riveting season of Law & Candor, the podcast wholly devoted to pursuing the legal technology revolution. They note that in celebration of Women‚Äôs History Month (March), season seven will feature an all-female guest speaker lineup exploring industry hot topics, as well as key tactics for championing the career growth of females within the space. To kick things off, Bill and Rob begin with Sightings of Radical Brilliance, the part of the show highlighting the latest news of noteworthy innovation and acts of sheer genius. In this episode, they dive into a recent article written by  Ayang Macdonald for  BiometricUpdate.com that discusses  Aratek‚Äôs new biometric finger scanner with enhanced security . Bill and Rob discuss this new fingerprint scanning technology and what it (and other tech like it) could mean for the future of the legal space.  For the guest speaker segment of the show, Bill and Rob bring on  Stacy Ybarra of Lighthouse to discuss diversity in ediscovery and how diverse hiring practices can lead to a more innovative workforce via the following questions: How does diversity feed innovation in ediscovery? What are some of the key ways diversity impacts organizations directly?  How does leading with empathy and inclusion make an impact? What are some best practices for those looking to champion diversity within their organization and the industry through employee resource groups? What advice would you give to other women in the ediscovery industry looking to move their careers forward? Our co-hosts wrap up the episode with a few key takeaways. If you enjoyed the show, learn more about our speakers and subscribe on the  podcast homepage , rate us on  Apple and  Stitcher , and join in the conversation on  Twitter . , diversity-equity-and-inclusion, podcast, diversity-equity-and-inclusion,, podcast
December 3, 2020
Podcast
data-privacy, ai/big data, phi, pii, podcast, ai-and-analytics, data-privacy

The Convergence of AI and Data Privacy in eDiscovery: Using AI and Analytics to Identify Personal Information

Law & Candor co-hosts Bill Mariano and Rob Hellewell kick things off with Sightings of Radical Brilliance, in which they discuss the challenges and implications of misinformation around voting in...,   Law & Candor co-hosts Bill Mariano and Rob Hellewell kick things off with Sightings of Radical Brilliance, in which they discuss the challenges and implications of misinformation around voting in the U.S. In this episode, Bill and Rob are joined by John Del Piero of Lighthouse. The three of them discuss how PII and PHI can be identified more efficiently by leveraging tools like AI and analytics via the following questions: Why is it important to identify PII and PHI within larger volumes of data quickly? How can AI and analytics help to identify PII and PHI more efficiently? What are the key benefits of using these tools? Are there any best practices to put in place for those looking to weave AI and analytics into their workflow? In conclusion, our co-hosts end the episode with key takeaways. If you enjoyed the show, subscribe here , rate us on Apple and Stitcher, join in the conversation on Twitter , and discover more about our speakers and the show here . , ai-and-analytics; data-privacy, data-privacy, ai/big data, phi, pii, podcast, ai-and-analytics, data-privacy, data-privacy; ai-big-data; phi; pii; podcast
March 23, 2021
Podcast
ai/big data, podcast, ai-and-analytics

AI and Analytics for Corporations: Common Use Cases

Law & Candor co-hosts¬†Bill Mariano and¬†Rob Hellewell kick things off with¬†Sightings of Radical Brilliance, in which they discuss¬†the growing use of¬†emotion recognition in tech in China and how..., Law & Candor co-hosts  Bill Mariano and  Rob Hellewell kick things off with Sightings of Radical Brilliance, in which they discuss the growing use of  emotion recognition in tech in China and how this could lead to some challenges in the legal space down the road.  In this episode, Bill and Rob are joined by  Moira Errick of Bausch Health. The three of them discuss common AI and analytics use cases for corporations via the following questions: What types of AI and analytics tools are you using and for what use cases? What is ICR and how you have been leveraging this internally? What additional use cases are you hoping to use AI and analytics for in the future? What are some best practices to keep in mind when leveraging AI and analytics tools? What recommendations do you have for those trying to get their team on board? What advice would you give to other women in the ediscovery industry looking to move their careers forward? In conclusion, our co-hosts end the episode with key takeaways. If you enjoyed the show, learn more about our speakers and subscribe on the  podcast homepage , rate us on  Apple and  Stitcher , and join in the conversation on  Twitter . , ai-and-analytics, ai/big data, podcast, ai-and-analytics, ai-big-data; podcast
December 3, 2020
Podcast
cybersecurity, data-privacy, podcast, data-privacy, legal-operations, information-governance,

Reducing Cybersecurity Burdens with a Customized Data Breach Workflow

Bill Mariano and Rob Hellewell kick off episode 3 with another segment of Sightings of Radical Brilliance where they discuss the EU striking down the Privacy Shield and what that means for the...,   Bill Mariano and Rob Hellewell kick off episode 3 with another segment of Sightings of Radical Brilliance where they discuss the EU striking down the Privacy Shield and what that means for the legal realm. Next, Bill and Rob chat with Jeremiah Weasenforth of Orrick about a recent customized data breach workflow that Jeremiah and his team implemented to significantly reduce the burdens of a data breach. In this interview, Jeremiah uncovers the answers to the following questions:  What are the burdens of a major data breach? What impacts do DSARs and the CCPA have on these breaches? How do you get started with a customized workflow? What technology should one use? How do you implement the workflow internally? What key tips are there for those experiencing cybersecurity burdens today? The show concludes with key takeaways from the guest speaker segment. Subscribe to Law & Candor here , rate us on Apple and Stitcher, join in the conversation on Twitter , and discover more about our speakers and the show here . , data-privacy; legal-operations; information-governance, cybersecurity, data-privacy, podcast, data-privacy, legal-operations, information-governance,, cybersecurity; data-privacy; podcast
December 3, 2020
Podcast
preservation and collection, podcast, digital-forensics, digital-forensics, chat-and-collaboration-data

Does Cellular 5G Equal 5x the Fraud and Misconduct Risk?

In the very first episode of season six, co-hosts Bill Mariano and Rob Hellewell, introduce themselves and welcome listeners back for another season of Law & Candor, the podcast wholly devoted to...,   In the very first episode of season six, co-hosts Bill Mariano and Rob Hellewell , introduce themselves and welcome listeners back for another season of Law & Candor, the podcast wholly devoted to pursuing the legal technology revolution. To kick things off, Bill and Rob begin with Sightings of Radical Brilliance, the part of the show where they discuss the latest news of noteworthy innovation and acts of sheer genius. In this episode, they dive into a recent article from ITPro.com that discusses the increase in insider data breaches with the remote work shift .  For the guest speaker segment of the show, Bill and Rob bring on Jerry Bui of Lighthouse to discuss cellular 5G and how it could lead to more fraud and misconduct risk via the following key questions: How does 5G lead to fraud and misconduct?  What insider threats are there (i.e. shadow IT, encrypted messages, etc.)? What about outsider threats (i.e. outside of IT‚Äôs purview, data breaches, hacking, etc.)? How does this impact compliance programs?  How does one overcome 5G challenges?  Are there other recommended best practices related to this topic? The episode wraps up with key takeaways. If you enjoyed the show, subscribe here , rate us on Apple and Stitcher, join in the conversation on Twitter , and discover more about our speakers and the show here . , forensics; chat-and-collaboration-data, preservation and collection, podcast, digital-forensics, digital-forensics, chat-and-collaboration-data, preservation-and-collection; podcast; digital-forensics
December 3, 2020
Podcast
data-privacy, cross border data transfers, podcast, data-privacy, ai-and-analytics

Cross-Border Data Transfers and the EU-US Data Privacy Tug of War

In the second episode of season six, co-hosts Bill Mariano and Rob Hellewell kick off the show with Sightings of Radical Brilliance. In this episode, they review a recent trends analysis article...,   In the second episode of season six, co-hosts Bill Mariano and Rob Hellewell kick off the show with Sightings of Radical Brilliance. In this episode, they review a recent trends analysis article written by Lighthouse‚Äôs very own John Shaw for The Lawyer that dives into new sources of evidentiary data in employment disputes .    Next, they bring on Melina Efstathiou of Eversheds Sutherland who answers questions around cross-border data transfers and the EU-US data privacy challenges outlined below: What does the surprise decision to invalidate the EU-US Privacy Shield mean for ediscovery? How does this impact other data transfer mechanisms?  What are some of the implications that Brexit could have? Are there any key tips for preparing for the future of cross-border ediscovery? Our co-hosts wrap up the episode with a few key takeaways. If you enjoyed the show, subscribe here , rate us on Apple and Stitcher, join in the conversation on Twitter , and discover more about our speakers and the show here . Related Links Blog Post: Worldwide Data Privacy Update Blog Post: Three Steps to Tackling Data Privacy Compliance Post GDPR Blog Post: The U.S Privacy Shield Is No Longer Valid ‚Äì What Does that Mean for Companies that Transfer Data from the EU into the US?   , data-privacy; ai-and-analytics, data-privacy, cross border data transfers, podcast, data-privacy, ai-and-analytics, data-privacy; cross-border-data-transfers; podcast
December 3, 2020
Podcast
ai/big data, podcast, ai-and-analytics,

AI, Analytics, and the Benefits of Transparency

In the final episode of season six, co-hosts Bill Mariano and Rob Hellewell review an article covering key privacy and security features on iOS4 and highlight the top features to be aware of.The...,   In the final episode of season six, co-hosts Bill Mariano and Rob Hellewell review an article covering key privacy and security features on iOS4 and highlight the top features to be aware of. The co-hosts then bring on Forbes Senior Contributor, David Teich , to discuss AI, analytics, and the benefits of transparency via the following questions:   Why is it important to be transparent in the legal realm? How does this come into play with bias? What about AI and jury selection? How do analytics come into play as a result of providing transparency? The season ends with key takeaways from the guest speaker section. Subscribe to the show here , rate us on Apple and Stitcher, connect with us on Twitter , and discover more about our speakers and the show here . Related Links Blog Post: Big Data and Analytics in eDiscovery: Unlock the Value of Your Data Blog Post:  The Sinister Six‚ĶChallenges of Working with Large Data Sets Blog Post:  Advanced Analytics ‚Äì The Key to Mitigating Big Data Risks Podcast Episode: Tackling Big Data Challenges Podcast Episode: The Future is Now ‚Äì AI and Analytics are Here to Stay , ai-and-analytics, ai/big data, podcast, ai-and-analytics,, ai-big-data; podcast
September 22, 2020
Podcast
microsoft, podcast, microsoft-365, ediscovery-review, chat-and-collaboration-data,

Top Microsoft 365 Features to Leverage in Your eDiscovery Program

Microsoft‚Äôs agile development and rapid product enhancement allows Microsoft 365 (M365) users to stay up to date with emerging industry challenges. However, keeping pace with these M365 features,   In the final episode of season five, co-hosts  Bill Mariano and  Rob Hellewell review an article on a recent ILTA>ON panel that examined how  tech has created certain power dynamics in legal space. Next, Bill and Rob bring on John Collins of Lighthouse to walk them through the top M365 features to leverage in an ediscovery program. Together they cover the latest and greatest as well as uncover answers to the following questions:  How many updates and enhancements is Microsoft making? How often/fast are these coming out? What are some of the common challenges around these rapid changes?  What are the top M365 features that folks in the industry should be aware of? Are there other ways and/or resources folks can use to stay up-to-date? The season ends with key takeaways from the guest speaker section. Subscribe to the show here , rate us on Apple and Stitcher, connect with us  Twitter , and discover more about our speakers and the show  here . Related Links Blog Post: Microsoft 365, G-Suite, and the Growing Demand for Consulting and ifying Experts Blog Post: Leveraging Microsoft 365 to Reduce Your eDiscovery Spend Blog Post: Key Compliance & Information Governance Considerations As You Adopt Microsoft Teams Podcast Episode:  Microsoft Office 365 Part 1: Microsoft‚Äôs Influence on the Next Evolution of eDiscovery Podcast Episode: Microsoft Office 365 Part 2: How to Leverage all the Tools in the Toolbox   , microsoft-365; ediscovery-review; chat-and-collaboration-data, microsoft, podcast, microsoft-365, ediscovery-review, chat-and-collaboration-data,, microsoft; podcast
September 22, 2020
Podcast
analytics, ai/big data, podcast, ai-and-analytics,

Leveraging AI and Analytics to Detect Privilege

AI and analytics are picking up momentum in the ediscovery space. With new tools that can help ediscovery professionals see trends and patterns in their data as well as identify inefficiencies and opp,   Co-hosts Bill Mariano and  Rob Hellewell kick episode 3 of season 5 off with another riveting Sightings of Radical Brilliance segment where they discuss transforming risks into benefits through  artificial intelligence and data privacy. Bill and Rob interview  CJ Mahoney of Cleary Gottlieb, who discusses some new AI and analytics practices around privilege review. In this segment, CJ uncovers the answers to the following questions:  Why the uptick in the adoption of AI and analytics in the industry? Why did it take so long for folks to adopt?  How can one leverage AI to detect privilege?  What benefits and learnings can one apply to future work? What are some recommendations for those looking to leverage AI and analytics in similar ways? The show concludes with key takeaways from the guest speaker segment. Subscribe to Law & Candor here , rate us on Apple and Stitcher, join in the conversation on  Twitter , and discover more about our speakers and the show  here . Related Links Blog Post: Big Data and Analytics in eDiscovery: Unlock the Value of Your Data Podcast Episode: Tackling Big Data Challenges Podcast Episode: The Future is Now ‚Äì AI and Analytics are Here to Stay   , ai-and-analytics, analytics, ai/big data, podcast, ai-and-analytics,, analytics; ai-big-data; podcast
September 22, 2020
Podcast
information-governance, cloud migration, podcast, information-governance, microsoft-365, chat-and-collaboration-data,

Achieving Information Governance through a Transformative Cloud Migration

Data migrations are generally perceived as painful and disruptive experiences. However, they also provide unique opportunities to transform the way unstructured data is used and managed within an,   In the first episode of season five, co-hosts  Bill Mariano and  Rob Hellewell , introduce themselves and welcome listeners back for another season of Law & Candor, the podcast wholly devoted to pursuing the legal technology revolution. To kick things off, Bill and Rob begin with Sightings of Radical Brilliance, the part of the show where they discuss the latest news of noteworthy innovation and acts of sheer genius. In this first episode, they dive into a recent article written by the folks at Baker Botts LLP around  Federal Expedited Review in Response to COVID-19 and what that means for the industry. For the guest speaker segment of the show, Bill and Rob bring on  John Holliday of Lighthouse to discuss transformative cloud migrations and how to ensure a successful outcome via the following questions: How do cloud migrations provide an opportunity to transform processes and workflows within an organization?  How does information architecture come into play? What benefits can one achieve during a cloud migration? What are best practices for a successful transformative cloud migration? The episode wraps up with key takeaways. If you enjoyed the show, subscribe here, rate us on Apple and Stitcher, join in the conversation on  Twitter , and discover more about our speakers and the show  here . Related Links Blog Post:  Top Three Things That Could Derail Your Cloud Migration Project Blog Post:  Why Moving to the Cloud is a Legal Conversation   , information-governance; microsoft-365; chat-and-collaboration-data, information-governance, cloud migration, podcast, information-governance, microsoft-365, chat-and-collaboration-data,, information-governance; cloud-migration; podcast
September 22, 2020
Podcast
analytics, ai/big data, hsr second requests, podcast, ai-and-analytics, antitrust

Facilitating a Smooth and Successful Large Review Project with Advanced Analytics

Large dataset projects are being addressed with the broadening use of advanced analytics. However, this is introducing another level of complexity into what is already a complicated and potentially st,   Law & Candor co-hosts  Bill Mariano and  Rob Hellewell kick things off with Sightings of Radical Brilliance, in which they discuss how  law firms are managing the hurdles of remote work , specifically comprehensive security measures, and driving efficiency.  In this episode, Bill and Rob are joined by  Adam Strayer of Paul Weiss. The three discuss facilitating successful large review projects with advanced analytics and other tools via the following questions: Why has there been an increase in the use of advanced analytics on larger matters across the industry? What are some of the key tools and strategies that drive the most value? What are the most effective and efficient workflows regarding advanced analytics? How does one combine the expertise and talents from each team involved (client, counsel, and service provider(s)) in an organized manner? In conclusion, our co-hosts end the episode with key takeaways. If you enjoyed the show, subscribe here , rate us on Apple and Stitcher, join in the conversation on  Twitter , and discover more about our speakers and the show  here . Related Links Podcast Episode:  New Efficiency Gains in TAR 2.0 and CMML Revealed Case Study:  Drug Store Giant Sees Significant Data Reduction , ai-and-analytics; antitrust, analytics, ai/big data, hsr second requests, podcast, ai-and-analytics, antitrust, analytics; ai-big-data; hsr-second-requests; podcast
September 22, 2020
Podcast
self-service, spectra, podcast, ediscovery-review, ai-and-analytics

Scaling Your eDiscovery Program: Self Service to Full Service

Being able to scale an ediscovery program from a self-service to a full-service model for particular matters can save both time and money, thus allowing for a more efficient ediscovery program overall,   In the second episode of season five, co-hosts  Bill Mariano and  Rob Hellewell kick off the show with Sightings of Radical Brilliance. In this episode, they discuss  Solos Health Analytics‚Äôs new technology (FeverGaurd) that was designed as a fever detection software to stop the spread of COVID-19 and the PPI challenges it could raise.  Next, they bring on  Claire Caruso of Lighthouse. Together, the three of them talk through how to scale ediscovery programs from self-service to full-service and back through the following questions:  When would one need to transition from self service to full service, and back to self service?  What are the benefits of making these moves? What are some of the key things to look out for?  What are some recommendations for folks looking to optimize their structure? Our co-hosts wrap up the episode with a few key takeaways. If you enjoyed the show, subscribe here , rate us on Apple and Stitcher, join in the conversation on  Twitter , and discover more about our speakers and the show  here . Related Links Blog Post:  How to Bring eDiscovery In House from Seasoned Self-Service Adopters Podcast Episode:  The Future of On-Demand SaaS Software for Small Matters ‚Äì A Self-Service Model Story Blog Post:  Overcoming  Top Objections for Moving to a Self-Service eDiscovery Model Blog Post:  Building a Business Case for Upgrading Your eDiscovery Self-Service Practices in Six Simple Steps Podcast Episode:  Moving to the Cloud Part 1: A Corporate Journey Podcast Episode:  Moving to the Cloud Part 2: A Law Firm Journey About Law & Candor Law & Candor is a podcast wholly devoted to pursuing the legal technology revolution. Co-hosts Bill Mariano and Rob Hellewell explore the impacts and possibilities that new technology is creating by streamlining workflows for ediscovery, compliance, and information governance. To learn more about the show and our speakers, click  here .   , ediscovery-review; ai-and-analytics, self-service, spectra, podcast, ediscovery-review, ai-and-analytics, self-service, spectra; podcast
September 22, 2020
Podcast
dsars, podcast, data-privacy, information-governance, ai-and-analytics,

Effective Strategies for Managing DSARs

Since the introduction of the GDPR, organizations with a European presence have seen a rise in the number of Data Subject Access Requests (DSARs). These matters are time-consuming, costly, and not,   In the fourth episode of season five, co-hosts  Bill Mariano and  Rob Hellewell discuss how  Relativity is using its technology to help medical researchers comb through COVID-19 journal articles to help battle the virus.  Bill and Rob then introduce their guest speaker,  Nicki Woodfall of Travers Smith, who uncovers effective strategies for managing DSARs. Nicki answers the following questions in this episode: Why has there been a recent uptick in DSARs over the past few years?  What are the top challenges when it comes to managing DSARs? What are key ways to overcome these common challenges? Our co-hosts wrap up the episode with a few key takeaways. If you enjoyed the show, subscribe here , rate us on Apple and Stitcher, join in the conversation on  Twitter , and discover more about our speakers and the show  here . Related Links Blog Post: How GDPR and DSARs are Driving a New, Proactive Approach to eDiscovery Case Study:  Penningtons Manches Cooper Takes Control of their eDiscovery Process with Lighthouse Spectra About Law & Candor Law & Candor is a podcast wholly devoted to pursuing the legal technology revolution. Co-hosts Bill Mariano and Rob Hellewell explore the impacts and possibilities that new technology is creating by streamlining workflows for ediscovery, compliance, and information governance. To learn more about the show and our speakers, click  here .   , data-privacy; information-governance; ai-and-analytics, dsars, podcast, data-privacy, information-governance, ai-and-analytics,, dsars; podcast
June 23, 2020
Podcast
analytics, ai/big data, tar/predictive coding, podcast, ai-and-analytics,

Take the Mystery out of Machine Learning: Success Stories from Real-Life Examples and How Data Scientists Impact eDiscovery

In the final episode of season three, co-hosts¬†Bill Mariano and¬†Rob Hellewell discuss a¬†coronavirus tracing app and the privacy concerns that may come about from a legal perspective.¬†Bill and Rob...,   In the final episode of season three, co-hosts  Bill Mariano and  Rob Hellewell discuss a  coronavirus tracing app and the privacy concerns that may come about from a legal perspective.  Bill and Rob bring on  Sara Lockman of Walmart to discuss the mysteries behind machine learning. Together they cover what machine learning is, the benefits, success stories, and more by uncovering answers to the following questions: What is machine learning? What are the benefits of machine learning? What are some challenges to be aware of when implementing machine learning?  What are some best practices to put in place when using machine learning?  Are there any major differences between implementing machine learning on investigations versus litigation?  What are some of the practical applications you have seen used in the context of cases? How do you convince the non-believers? The season ends with key takeaways from the guest speaker section. Connect with us  Twitter , discover more about our speakers and the show  here . Related Links Blog Post:  Big Data and Analytics in eDiscovery: Unlock the Value of Your Data Podcast Episode:  The Future is Now ‚Äì AI and Analytics are Here to Stay Podcast Episode:  Tackling Big Data Challenges Podcast Episode: New Efficiency Gains in TAR 2.0 and CMML Revealed About Law & Candor Law & Candor is a podcast wholly devoted to pursuing the legal technology revolution. Co-hosts Bill Mariano and Rob Hellewell explore the impacts and possibilities that new technology is creating by streamlining workflows for ediscovery, compliance, and information governance. To learn more about the show and our speakers, click  here .   , ai-and-analytics, analytics, ai/big data, tar/predictive coding, podcast, ai-and-analytics,, analytics; ai-big-data; tar-predictive-coding; podcast
June 23, 2020
Podcast
managed services, podcast, ediscovery-review,

Myth Busters - The Managed Services Edition

In the second episode of season four, co-hosts¬†Bill Mariano and¬†Rob Hellewell kick off the show with¬†Sightings of Radical Brilliance. In this episode, they discuss¬†how the¬†U.S. House plans to...,   In the second episode of season four, co-hosts  Bill Mariano and  Rob Hellewell kick off the show with Sightings of Radical Brilliance. In this episode, they discuss how the  U.S. House plans to start voting remotely and the impacts this could have on the legal space.  They then introduce the next guest speaker segment, which features  Tracy Hallenberger of Baker Botts. They unravel the myths behind managed services and discuss the key benefits of this modern approach to ediscovery through the following questions:  What are some of the top myths that are associated with managed services? What about this myth around lesser quality? What about the myth around it being more expensive? What about this lower service level to lawyer myth? What are the key benefits of a managed services model? Our co-hosts wrap up the episode with a few key takeaways. Join in the conversation on  Twitter and discover more about our speakers and the show  here . Related Links Case Study:  Lighthouse‚Äôs Managed Service Solution Delivers More Than $13 Million in Savings over Six Years Case Study:  Top Ten Global Law Firm Realizes BeneÔ¨Åts of Lighthouse Managed Services About Law & Candor Law & Candor is a podcast wholly devoted to pursuing the legal technology revolution. Co-hosts Bill Mariano and Rob Hellewell explore the impacts and possibilities that new technology is creating by streamlining workflows for ediscovery, compliance, and information governance. To learn more about the show and our speakers, click  here .   , ediscovery-review, managed services, podcast, ediscovery-review,, managed-services; podcast
June 23, 2020
Podcast
cybersecurity, podcast, data-privacy, ediscovery-review, information-governance,

Managing Cybersecurity in eDiscovery

Law & Candor co-hosts¬†Bill Mariano and¬†Rob Hellewell kick things off with¬†Sightings of Radical Brilliance, in which they discuss¬†how¬†password dumping can improve your security and what that means...,   Law & Candor co-hosts  Bill Mariano and  Rob Hellewell kick things off with Sightings of Radical Brilliance, in which they discuss how  password dumping can improve your security and what that means for the future of security.  In this episode, Bill and Rob are joined by  Dave Kuhl of Lighthouse. The three uncover the complexities around managing cybersecurity as well as practical tips for overcoming challenges via the following questions: What are the recent complexities around managing cybersecurity? What are today‚Äôs biggest threats? What are some key lessons learned around these challenges? How do you combat cybersecurity challenges? How do you get ahead of these issues before they hit? In conclusion, our co-hosts end the episode with key takeaways. To join the conversation, connect with us  Twitter and discover more about our speakers and the show  here . Related Links Blog Post: Cybersecurity in eDiscovery: Protecting Your Data from Preservation through Production Blog Post: Top Three Tips for Structuring an Effective eDiscovery Security Evaluation Podcast Episode:  Cybersecurity in eDiscovery: Protecting Your Data from Preservation through Production Webinar Recording: The Risks of Cybersecurity in eDiscovery ‚Äì Is Your Data Safe? About Law & Candor Law & Candor is a podcast wholly devoted to pursuing the legal technology revolution. Co-hosts Bill Mariano and Rob Hellewell explore the impacts and possibilities that new technology is creating by streamlining workflows for ediscovery, compliance, and information governance. To learn more about the show and our speakers, click  here .   , data-privacy; ediscovery-review; information-governance, cybersecurity, podcast, data-privacy, ediscovery-review, information-governance,, cybersecurity; podcast
June 23, 2020
Podcast
ediscovery process, legal ops, podcast, ediscovery-review, legal-operations

eDiscovery Program Starter Pack: Uncover Key Ways to Build an Effective & Efficient eDiscovery Program

In the fourth episode of season four, co-hosts¬†Bill Mariano and¬†Rob Hellewell discuss the¬†first-ever trial by Zoom, how it all went down, as well as what may expect to see looking forward.¬†Bill...,   In the fourth episode of season four, co-hosts  Bill Mariano and  Rob Hellewell discuss the  first-ever trial by Zoom , how it all went down, as well as what may expect to see looking forward.  Bill and Rob then introduce their guest speaker,  Zander Brandt of Lyft, who shares his experience as a two-time corporate ediscovery ‚Äúfirst employee‚Äù and what it takes to set up an effective and efficient ediscovery program. Zander answers the following questions in this episode: What is that like being the first corporate ediscovery employee? Where do you start in a role like this? What are the key initial steps to take when coming on board? What are things to avoid? Common pitfalls? What are the recommendations/best practices for those looking to implement an efficient ediscovery program today? Our co-hosts wrap up the episode with a few key takeaways. Follow us on  Twitter and discover more about our speakers and the show  here . About Law & Candor Law & Candor is a podcast wholly devoted to pursuing the legal technology revolution. Co-hosts Bill Mariano and Rob Hellewell explore the impacts and possibilities that new technology is creating by streamlining workflows for ediscovery, compliance, and information governance. To learn more about the show and our speakers, click  here .   , ediscovery-review; legal-operations, ediscovery process, legal ops, podcast, ediscovery-review, legal-operations, ediscovery-process; legal-ops; podcast
June 23, 2020
Podcast
emerging data sources, podcast, chat-and-collaboration-data, microsoft-365

Emerging Data Sources – Get a Handle on eDiscovery for Collaboration Tools

In the first episode of season four, co-hosts¬†Bill Mariano and¬†Rob Hellewell, introduce themselves and welcome listeners back for a fourth season of Law & Candor, the¬†podcast wholly devoted to...,   In the first episode of season four, co-hosts  Bill Mariano and  Rob Hellewell , introduce themselves and welcome listeners back for a fourth season of Law & Candor, the podcast wholly devoted to pursuing the legal technology revolution. To kick things off, Bill and Rob begin with Sightings of Radical Brilliance, the part of the show where they discuss the latest news of noteworthy innovation and acts of sheer genius. In this first episode, they dive into a recent story around  COVID-19 and the reformation of legal culture .  The guest speaker segment for episode one highlights  Ellen Blanchard of T-Mobile. Ellen, Bill, and Rob discuss the growth in emerging data sources, especially with the introduction of more remote work due to COVID-19. They cover tips on how to manage, collect, process, and review collaboration data for ediscovery purposes via the following questions: What has changed over the last couple of years and even in the last few months with COVID-19? How do you get a handle on these data sources? How do you weigh that balance between risks and what teams need to use to be productive? What are some key tips to keep in mind when managing ediscovery around collaboration tools? At the end of the episode, Bill recaps key takeaways and thanks Ellen for joining. If you enjoyed the show, join in the conversation on  Twitter and discover more about our speakers and the show  here . Related Links Case Study:  Rapid and Reliable Chat Message Review About Law & Candor Law & Candor is a podcast wholly devoted to pursuing the legal technology revolution. Co-hosts Bill Mariano and Rob Hellewell explore the impacts and possibilities that new technology is creating by streamlining workflows for ediscovery, compliance, and information governance. To learn more about the show and our speakers, click  here .   , chat-and-collaboration-data; microsoft-365, emerging data sources, podcast, chat-and-collaboration-data, microsoft-365, emerging-data-sources; podcast
June 23, 2020
Podcast
legal ops, podcast, legal-operations ,

Legal Operations 101: Skills for Success

Co-hosts Bill Mariano and¬†Rob Hellewell kick episode 3 of season 4 off with another riveting¬†Sightings of Radical Brilliance segment where they uncover how¬†biometric data will impact ediscovery...,   Co-hosts Bill Mariano and  Rob Hellewell kick episode 3 of season 4 off with another riveting Sightings of Radical Brilliance segment where they uncover how  biometric data will impact ediscovery and  why it is important to protect this data .  Bill and Rob are accompanied by  Debora Motyka Jones of Lighthouse, who shares what today‚Äôs legal operations landscape looks like as well as the key competencies for those looking to succeed in the field. In this segment, Debora uncovers the answers to the following questions:  What is legal operations? What are today‚Äôs legal operations trends? What are some of the core competencies for departments? What are some of the skills that individuals in the field need to focus on? What are the best practices when it comes to legal operations? The show concludes with key takeaways from the guest speaker segment. Join the conversation on  Twitter and discover more about our speakers and the show  here . Related Links Blog Post: Legal Operations... Is it a Fad or Here to Stay? Blog Post:  Managing Your (Legal Ops) Budget with Five Simple Tips Blog Post:  Budget Busters and How to Avoid Them: Budgeting Tips for Legal Operations Professionals Blog Post: Putting Together an Effective Legal Strategy Session About Law & Candor Law & Candor is a podcast wholly devoted to pursuing the legal technology revolution. Co-hosts Bill Mariano and Rob Hellewell explore the impacts and possibilities that new technology is creating by streamlining workflows for ediscovery, compliance, and information governance. To learn more about the show and our speakers, click  here .   , legal-operations, legal ops, podcast, legal-operations ,, legal-ops; podcast
March 24, 2020
Podcast
self-service, spectra, podcast, ediscovery-review, ai-and-analytics

The Future of On-Demand SaaS Software for Small Matters – A Self-Service Model Story

Co-hosts Bill Mariano and¬†Rob Hellewell kick things off with another riveting¬†Sightings of Radical Brilliance segment where they uncover how¬†real-time translation tools are breaking down barriers...,   Co-hosts Bill Mariano and  Rob Hellewell kick things off with another riveting Sightings of Radical Brilliance segment where they uncover how  real-time translation tools are breaking down barriers and what this means for the future of legal space. Next, Bill and Rob set the stage for the final recorded guest speaker segment of the live Law & Candor show during Legaltech. For this session, they were accompanied by  TracyAnn Eggen of Dignity Health and  Steve Clark of Dentons, who discuss the future of on-demand SaaS software for small matters from both a corporate and a law firm perspective. In this segment, TracyAnn and Steve uncover the answers to the following questions:  What triggered the move to a SaaS model? How did you get wide-scale adoption? What are some best practices for implementation? The show concludes with key takeaways from the guest speaker segment. Join the conversation on  Twitter and discover more about our speakers and the show  here . Related Links Blog Post: Overcoming  Top Objections for Moving to a Self-Service eDiscovery Model Blog Post:  Building a Business Case for Upgrading Your eDiscovery Self-Service Practices in Six Simple Steps Blog Post:  Top Four Considerations for Law Firms When Choosing a SaaS eDiscovery Solution Podcast Episode: Moving to the Cloud Part 1: A Corporate Journey Podcast Episode:  Moving to the Cloud Part 2: A Law Firm Journey About Law & Candor Law & Candor is a podcast wholly devoted to pursuing the legal technology revolution. Co-hosts Bill Mariano and Rob Hellewell explore the impacts and possibilities that new technology is creating by streamlining workflows for ediscovery, compliance, and information governance. To learn more about the show and our speakers, click  here .   , ai-and-analytics, self-service, spectra, podcast, ediscovery-review, ai-and-analytics, self-service, spectra; podcast
March 24, 2020
Podcast
ai/big data, podcast, ai-and-analytics,

Tackling Big Data Challenges

Big data challenges and key ways to overcome them with AI, analytics, and data re-use are uncovered in this podcast episode.,   In the very first episode of season three, co-hosts  Bill Mariano and  Rob Hellewell , introduce themselves and welcome listeners back for another riveting season of Law & Candor, the podcast wholly devoted to pursuing the legal technology revolution. To kick things off, Bill and Rob begin with Sightings of Radical Brilliance, the part of the show where they discuss the latest news of noteworthy innovation and acts of sheer genius. In this first episode, they dive into a recent story around the  Astros cheating scandal and their illegal use of technology to observe and relay the signs given by the opposing catcher to the pitcher known as sign-stealing. Before our co-hosts jump directly into the guest speaker segment of today‚Äôs episode, they set the stage for the first three episodes of season 3, which are recordings from the first-ever live Law & Candor show during Legaltech this past January. All three live segments are trickled out over the next three episodes.  The guest speaker segment for episode one highlights,  Josh Kreamer of AstraZeneca. Josh, Bill, and Rob discuss ever-evolving technology and data sources, and how it is now more challenging than ever to combat the cost and complexities associated with legal data. They tackle these key questions and Josh provides answers to the following:  What are some of the biggest data challenges in the industry today? What are some key solutions to these challenges? How do you implement these solutions? How do you get buy in from your team/get them excited to move forward with implementation? In conclusion, Rob shares top takeaways from episode one. If you enjoyed the show, join in the conversation on  Twitter and discover more about our speakers and the show  here . Related Links Podcast Episode:  The Future is Now ‚Äì AI and Analytics are Here to Stay About Law & Candor Law & Candor is a podcast wholly devoted to pursuing the legal technology revolution. Co-hosts Bill Mariano and Rob Hellewell explore the impacts and possibilities that new technology is creating by streamlining workflows for ediscovery, compliance, and information governance. To learn more about the show and our speakers, click  here .   , ai-and-analytics, ai/big data, podcast, ai-and-analytics,, ai-big-data; podcast
March 24, 2020
Podcast
self-service, spectra, analytics, emerging data sources, ai/big data, podcast, ediscovery-review, ai-and-analytics

eDiscovery Shark Tank - What’s Worth Your Investment in 2020?

In the final episode of season three, co-hosts¬†Bill Mariano and¬†Rob Hellewell discuss the¬†New York SHIELD Act and its impact on data and security requirements within the space in the¬†Sightings of...,   In the final episode of season three, co-hosts  Bill Mariano and  Rob Hellewell discuss the  New York SHIELD Act and its impact on data and security requirements within the space in the Sightings of Radical Brilliance segment. Bill and Rob shake things up a bit in the final guest speaker segment of the season by conducting an eDiscovery Shark Tank-style episode, where they bring on  Chris Dahl of Lighthouse to share the most forward-thinking and innovative solutions to industry challenges that are worth folks‚Äô 2020 investment. Chris covers the following key questions: What are some of the key innovations in the legal space today? What innovations around SaaS are worth investment? How is the SaaS paradigm impacted on a global perspective? What about big data analytics? When it comes to collaboration, chat, and social, what solutions are there? What about continuous program updates, what can folks be looking for? The season ends with key takeaways from the guest speaker section.  Connect with us  Twitter , discover more about our speakers and the show  here . Related Links Blog Post:  Best Practices for Embracing the SaaS eDiscovery Revolution Podcast Episode: Microsoft Office 365 Part 1: Microsoft‚Äôs Influence on the Next Evolution of eDiscovery Podcast Episode:  Microsoft Office 365 Part 2: How to Leverage all the Tools in the Toolbox About Law & Candor Law & Candor is a podcast wholly devoted to pursuing the legal technology revolution. Co-hosts Bill Mariano and Rob Hellewell explore the impacts and possibilities that new technology is creating by streamlining workflows for ediscovery, compliance, and information governance. To learn more about the show and our speakers, click  here .   , ai-and-analytics, self-service, spectra, analytics, emerging data sources, ai/big data, podcast, ediscovery-review, ai-and-analytics, self-service, spectra; analytics; emerging-data-sources; ai-big-data; podcast
March 24, 2020
Podcast
tar/predictive coding, podcast, ai-and-analytics,

New Efficiency Gains in TAR 2.0 and CMML Revealed

In the fourth episode of season three, co-hosts¬†Bill Mariano and¬†Rob Hellewell converse around the innovation behind family tracking apps and how¬†one app helped capture a criminal in this...,   In the fourth episode of season three, co-hosts  Bill Mariano and  Rob Hellewell converse around the innovation behind family tracking apps and how  one app helped capture a criminal in this episode‚Äôs Sightings of Radical Brilliance segment.  Bill and Rob then introduce their guest speaker,  Nordo Nissi of Goulston & Storrs, and together they dive into new and uncovered efficiency gains around TAR 2.0 and CMML. They ask Nordo the following questions: What are TAR 2.0 and CMML? What are some efficiency gains you have seen around these workflows? What are some of the hidden efficiencies you have seen? What are some techniques to get to those? In the end, our co-hosts wrap up the episode with a few key takeaways. Follow us on  Twitter and discover more about our speakers and the show  here . Related Links Case Study:  Drug Store Giant Sees Significant Data Reduction About Law & Candor Law & Candor is a podcast wholly devoted to pursuing the legal technology revolution. Co-hosts Bill Mariano and Rob Hellewell explore the impacts and possibilities that new technology is creating by streamlining workflows for ediscovery, compliance, and information governance. To learn more about the show and our speakers, click  here .   , ai-and-analytics, tar/predictive coding, podcast, ai-and-analytics,, tar-predictive-coding; podcast
April 6, 2020
Podcast
ediscovery process, podcast, ediscovery-review,

Special Edition: The Impact of COVID-19 on the Legal Space Now & Beyond

In this special edition of Law & Candor, co-hosts¬†Bill Mariano and¬†Rob Hellewell, kick things off with¬†Sightings of Radical Brilliance, the part of the show where they discuss the latest news of...,   In this special edition of Law & Candor, co-hosts  Bill Mariano and  Rob Hellewell , kick things off with Sightings of Radical Brilliance, the part of the show where they discuss the latest news of noteworthy innovation and acts of sheer genius. Within this episode, they discuss the recent innovative trend around large car manufactures switching gears around their production plans in the midst of COVID-19 to help  develop ventilators and  supply masks to help fight the pandemic. Related to COVID-19, the guest speaker segment of the show features Lighthouse‚Äôs CEO, Brian McManus, who shares his take on the industry impacts of COVID-19. The trio cover current top company priorities, common themes being heard throughout the industry, as well as the lasting impacts of this pandemic on the legal space by answering the following key questions: What are key company priorities? What are current employee safety priorities and items to be aware of? What is the industry saying? What will be the lasting impact of COVID-19 on the legal space?  In conclusion, they share top takeaways from the episode. If you enjoyed the show, join in the conversation on  Twitter and discover more about our speakers and the show  here . Related Links Webinar Recording: Top Tips for Staying Productive and Connected While Working from Home  About Law & Candor Law & Candor is a podcast wholly devoted to pursuing the legal technology revolution. Co-hosts Bill Mariano and Rob Hellewell explore the impacts and possibilities that new technology is creating by streamlining workflows for ediscovery, compliance, and information governance. To learn more about the show and our speakers, click  here .   , ediscovery-review, ediscovery process, podcast, ediscovery-review,, ediscovery-process; podcast
March 24, 2020
Podcast
microsoft, gdpr, data-privacy, cross border data transfers, podcast, data-privacy, microsoft-365, chat-and-collaboration data,

How Microsoft 365 and GDPR Are Driving a Proactive Approach to eDiscovery Across the Globe

Law & Candor co-hosts¬†Bill Mariano and¬†Rob Hellewell kick things off with¬†Sightings of Radical Brilliance, in which they discuss¬†changes the legal system may face thanks to¬†innovation brought...,   Law & Candor co-hosts  Bill Mariano and  Rob Hellewell kick things off with Sightings of Radical Brilliance, in which they discuss changes the legal system may face thanks to  innovation brought about by AI, big data, and online courts .  In this episode, Bill and Rob are joined by  Mike Brown of Lighthouse. The three uncover how Microsoft 365 (M365) and GDPR are driving change for a more proactive approach to ediscovery across the globe and answer the following questions:  How have GDPR and M365 changed company attitudes from a reactive to a more proactive approach to ediscovery? How does Brexit impact this? How does a company actually become GDPR compliant? How do companies prepare? How do DSARs come into play? How does M365 help solve for these concerns? In conclusion, our co-hosts end the episode with key takeaways. To join the conversation, connect with us  Twitter and discover more about our speakers and the show  here . Related Links Blog Post:  Why Moving to the Cloud is a Legal Conversation , data-privacy; microsoft-365; chat-and-collaboration-data, microsoft, gdpr, data-privacy, cross border data transfers, podcast, data-privacy, microsoft-365, chat-and-collaboration data,, microsoft; gdpr; data-privacy; cross-border-data-transfers; podcast
March 24, 2020
Podcast
gdpr, data-privacy, information-governance, compliance and investigations, podcast, data-privacy, information-governance

Data Privacy in a Post-GDPR World: Facing Regulators and Ensuring Compliance Through Rock-Solid Information Governance Practices

In the second episode of season three, co-hosts¬†Bill Mariano and¬†Rob Hellewell kick off the show with¬†Sightings of Radical Brilliance. In this episode, they discuss¬†how¬†technology competence has...,   In the second episode of season three, co-hosts  Bill Mariano and  Rob Hellewell kick off the show with Sightings of Radical Brilliance. In this episode, they discuss how  technology competence has become a priority for today‚Äôs lawyers, which has become a recent hot topic within the space as more  states make technical competence for lawyers mandatory .  They then introduce the next guest speaker segment from the live recording of Law & Candor during Legaltech, which features Kelly Clay from GSK. They explore how GDPR has impacted the ediscovery world, both globally and in the US, since its enactment and focus on ways to mitigate risk by uncovering answers to the following questions:  What key challenges have GDPR and the rise of recent privacy laws created globally and in the US? How can information governance and compliance practices mitigate data privacy and security risks? What are best practices or key recommendations for listeners? Our co-hosts wrap up the episode with a few key takeaways. Join in the conversation on  Twitter and discover more about our speakers and the show  here . About Law & Candor Law & Candor is a podcast wholly devoted to pursuing the legal technology revolution. Co-hosts Bill Mariano and Rob Hellewell explore the impacts and possibilities that new technology is creating by streamlining workflows for ediscovery, compliance, and information governance. To learn more about the show and our speakers, click  here .   , data-privacy; information-governance, gdpr, data-privacy, information-governance, compliance and investigations, podcast, data-privacy, information-governance, gdpr; data-privacy; information-governance; compliance-and-investigations; podcast
December 4, 2019
Podcast
g suite, ediscovery process, podcast, chat-and-collaboration data, information-governance

Understanding and Creating Effective and Best eDiscovery Practices for G-Suite

In the final episode of season two, co-hosts¬†Bill Mariano and¬†Rob Hellewell discuss what a¬†US approach to data protection and privacy would look like in the¬†Sightings of Radical Brilliance segment...,   In the final episode of season two, co-hosts  Bill Mariano and  Rob Hellewell discuss what a  US approach to data protection and privacy would look like in the Sightings of Radical Brilliance segment of the show. In particular, they discuss how we are seeing these pop up on a state-by-state basis and whether we need a Federal law that applies to privacy.  Bill and Rob are joined by  Alison Shier , Client Development Manager at Lighthouse, to discuss the challenges and best practices around G-Suite data for their sixth and final episode of the season. The three cover the following questions:  Is leveraging G-suite a more common trend/theme in the space? How is Gmail data different than Outlook data?  What are some of the challenges around managing this data? What are some of the downstream issues and challenges around review of this data? How do we address these challenges? How do TAR and analytics impact G-suite data? The season ends with key takeaways from the guest speaker section.  Connect with us  Twitter , discover more about our speakers and the show  here , and, if you are interested in attending the live podcast show at Legaltech,  email us for details. About Law & Candor Law & Candor is a podcast wholly devoted to pursuing the legal technology revolution. Co-hosts Bill Mariano and Rob Hellewell explore the impacts and possibilities that new technology is creating by streamlining workflows for ediscovery, compliance, and information governance. To learn more about the show and our speakers, click  here .   , chat-and-collaboration-data; information-governance, g suite, ediscovery process, podcast, chat-and-collaboration data, information-governance, g-suite; ediscovery-process; podcast
December 4, 2019
Podcast
cross border data transfers, podcast, data-privacy, information-governance

Would a No-Deal Brexit Change How We Handle Cross-Border Collections in Europe?

Law & Candor co-hosts¬†Bill Mariano and¬†Rob Hellewell kick things off with¬†Sightings of Radical Brilliance, in which they discuss¬†personalized and predictive medicine and how¬†apple watches have...,   Law & Candor co-hosts  Bill Mariano and  Rob Hellewell kick things off with Sightings of Radical Brilliance, in which they discuss  personalized and predictive medicine and how  apple watches have been saving lives . In addition, they dive into what these trends mean for the legal field. In this episode, Bill and Rob are joined  Josh Yildirim , Executive Director of Service Delivery of Europe at Lighthouse. The three of them jump into the current status of Brexit and what the future of cross-border data collections could look like. Below are the questions they address:  Where we are at currently with Brexit and whether a no-deal is likely? How could this potentially impact data privacy? How could this impact cross-border collections? What are some practical tips when it comes to potential challenges? What are companies going to need to do to prepare? In conclusion, our co-hosts end the episode with key takeaways. To join the conversation, connect with us  Twitter and discover more about our speakers and the show  here . About Law & Candor Law & Candor is a podcast wholly devoted to pursuing the legal technology revolution. Co-hosts Bill Mariano and Rob Hellewell explore the impacts and possibilities that new technology is creating by streamlining workflows for ediscovery, compliance, and information governance. To learn more about the show and our speakers, click  here .   , data-privacy; information-governance, cross border data transfers, podcast, data-privacy, information-governance, cross-border-data-transfers; podcast
December 4, 2019
Podcast
privilege, podcast, ai-and-analytics, ediscovery-review

The Privilege in Leveraging Privilege Review Tools

In the second episode of season two, co-hosts¬†Bill Mariano and¬†Rob Hellewell kick off the show with¬†Sightings of Radical Brilliance. In this episode, they discuss¬†AI and how this comes into play...,   In the second episode of season two, co-hosts  Bill Mariano and  Rob Hellewell kick off the show with Sightings of Radical Brilliance. In this episode, they discuss  AI and how this comes into play in the game of poker as well as what that means for the industry. Next, they introduce their guest speaker for episode two,  Joanna Harrison ,Solutions Architect at Lighthouse, to discuss the privileges of using privilege review tools in ediscovery. Together, they uncover the answers to the questions below: Why is privilege a priority? Why are the current methods in which privilege gets identified for review inefficient? Why is privilege review so important for folks in the ediscovery space? What kind of tools are out there to assist with privilege review? What about privilege logs? What are some key tips or tricks for setting up privilege workflows? Finally, our co-hosts wrap up the episode with a few key takeaways. Join in the conversation on  Twitter and discover more about our speakers and the show  here . Related Links Blog Post: Finding the Needle Faster ‚Äì Speeding up the Second Request Process Case Study: Drug Store Giant Sees Significant Data Reduction Case Study: When the Government Investigates About Law & Candor Law & Candor is a podcast wholly devoted to pursuing the legal technology revolution. Co-hosts Bill Mariano and Rob Hellewell explore the impacts and possibilities that new technology is creating by streamlining workflows for ediscovery, compliance, and information governance. To learn more about the show and our speakers, click  here .   , ai-and-analytics, privilege, podcast, ai-and-analytics, ediscovery-review, privilege; podcast
December 4, 2019
Podcast
emerging data sources, preservation and collection, podcast, digital-forensics, chat-and-collaboration-data, digital-forensics, information-governance, microsoft-365

Data Preservation in the World of Ephemeral Data, Mobile Devices, and Other New Challenges in Forensic Technology

Co-hosts Bill Mariano and¬†Rob Hellewell share details around the¬†five biggest data breaches of the year so far in¬†Sightings of Radical Brilliance and what this means for the future of legal...,   Co-hosts Bill Mariano and  Rob Hellewell share details around the  five biggest data breaches of the year so far in Sightings of Radical Brilliance and what this means for the future of legal space. Next, Bill and Rob bring on  Jerry Bui , Executive Director of Digital Forensics at Lighthouse, to help uncover the answers to the following questions around data preservation when it comes to ephemeral and encrypted data:  What do ephemeral and encryption mean? What are the different types of enterprise communication platforms? Which platform gives you the most in terms of investments from a legal and compliance perspective? What about data privacy on these platforms? How is the personal data treated? What should IT and Legal departments keep in mind when it comes to platforms that are not encrypted? The show concludes with key takeaways from the guest speaker segment. Join the conversation on  Twitter and discover more about our speakers and the show  here . Related Links Podcast: Digital Forensics Future About Law & Candor Law & Candor is a podcast wholly devoted to pursuing the legal technology revolution. Co-hosts Bill Mariano and Rob Hellewell explore the impacts and possibilities that new technology is creating by streamlining workflows for ediscovery, compliance, and information governance. To learn more about the show and our speakers, click  here .   , chat-and-collaboration-data; forensics; information-governance; microsoft-365, emerging data sources, preservation and collection, podcast, digital-forensics, chat-and-collaboration-data, digital-forensics, information-governance, microsoft-365, emerging-data-sources; preservation-and-collection; podcast; digital-forensics
December 4, 2019
Podcast
cybersecurity, preservation and collection, processing, podcast, data-privacy, information-governance, ediscovery-review,

Cybersecurity in eDiscovery: Protecting Your Data from Preservation through Production

In the fourth episode of season two, co-hosts¬†Bill Mariano and¬†Rob Hellewell begin with¬†Sightings of Radical Brilliance and the recent¬†trend of folks moving away from email and towards text and...,   In the fourth episode of season two, co-hosts  Bill Mariano and  Rob Hellewell begin with Sightings of Radical Brilliance and the recent  trend of folks moving away from email and towards text and chat tools . They dive into the diverse challenges and risks associated with this shift. Next, Bill and Rob introduce their guest speaker,  David Kessler , Head of Data and Information Risk, United States, at Norton Rose Fulbright US LLP, to discuss cybersecurity challenges across the various stages of the EDRM. In this episode they ask the following key questions to David: What does a high-level overview of data security look like today? Who does this affect? Where are vulnerabilities within the EDRM? What are some key solutions for overcoming top challenges? In the end, our co-hosts wrap up with a few key takeaways. Follow us on  Twitter and discover more about our speakers and the show  here . About Law & Candor Law & Candor is a podcast wholly devoted to pursuing the legal technology revolution. Co-hosts Bill Mariano and Rob Hellewell explore the impacts and possibilities that new technology is creating by streamlining workflows for ediscovery, compliance, and information governance. To learn more about the show and our speakers, click  here .   , data-privacy; information-governance, cybersecurity, preservation and collection, processing, podcast, data-privacy, information-governance, ediscovery-review,, cybersecurity; preservation-and-collection; processing; podcast
December 4, 2019
Podcast
ediscovery process, podcast, legal-operations, information-governance

Bridge the Gap: Innovative Ways to Enable eDiscovery Collaboration Between Legal and IT

In the very first episode of season two, co-hosts¬†Bill Mariano and¬†Rob Hellewell, introduce themselves and welcome listeners back for another riveting season of Law & Candor, the¬†podcast wholly...,   In the very first episode of season two, co-hosts  Bill Mariano and  Rob Hellewell , introduce themselves and welcome listeners back for another riveting season of Law & Candor, the podcast wholly devoted to pursuing the legal technology revolution. To kick things off, Bill and Rob begin with, Sightings of Radical Brilliance, the part of the show where they discuss the latest news of noteworthy innovation and acts of sheer genius. In this first episode, they dive into a recent story around  how legal technology helped capture the BTK killer and recap the key legal mistakes of this notorious serial killer. In the guest speaker segment of the show, our co-hosts were joined by  Craig Shaver , Director, eDiscovery Program, Hilton Worldwide, who helped them uncover the answers to the following questions around cross-departmental collaboration: What are the current challenges in play when IT and Legal are out of sync? Why is it critical for these two groups to be in sync? What are some of the risks of these groups being out of alignment? Who is the best person to lead the effort of aligning Legal and IT? Are there other departments within an organization that need to be at the table as well? What are the greatest challenges you‚Äôve seen in achieving better alignment? What are some new ways these two groups can ensure they are in alignment? What are the benefits to an organization of this alignment? In conclusion, our speakers share top takeaways. If you enjoyed the show, join in the conversation on  Twitter and discover more about our speakers and the show  here . About Law & Candor Law & Candor is a podcast wholly devoted to pursuing the legal technology revolution. Co-hosts Bill Mariano and Rob Hellewell explore the impacts and possibilities that new technology is creating by streamlining workflows for ediscovery, compliance, and information governance. To learn more about the show and our speakers, click  here .   , legal-operations; information-governance, ediscovery process, podcast, legal-operations, information-governance, ediscovery-process; podcast
September 20, 2019
Podcast
ediscovery-and-review

The Truth Behind Data Reuse

Discover how data repositories can be set up to reuse data for future matters in this podcast episode.,   In the second episode of season one, co-hosts Bill Mariano and Rob Hellewell kick off the show with SIGHTINGS OF RADICAL BRILLIANCE. In this episode, they discuss the company Big Moon Power and some of the exciting things they are doing to harness the power of ocean tides to generate electricity. Next, they introduce their guest Erika Namnath , Executive Director of Advisory Services at Lighthouse, to discuss the truth behind data reuse. Together, they uncover the answers to the questions below: What is data reuse? What are the different types of data reuse? How would you reuse data around trade secrets and IP? What about privilege, PII, and PHI? What are some of the current limitations that companies are facing when trying to leverage data reuse? What about objectively non-responsive documents? How do you handle those types of work product for data reuse? What are the key benefits of data reuse? Finally, our co-hosts wrap up the episode with a few key takeaways. Join in on the conversation on Twitter and discover more about our speakers and the show here . About Law & Candor Law & Candor is a podcast wholly devoted to pursuing the legal technology revolution. Co-hosts Bill Mariano and Rob Hellewell explore the impacts and possibilities that new technology is creating by streamlining workflows for ediscovery, compliance, and information governance. To learn more about the show and our speakers, click here . , ediscovery-review, ediscovery-and-review, data-re-use; podcast
September 16, 2019
Podcast
ai-and-analytics

The Future is Now – AI and Analytics are Here to Stay

In the d√©but episode, co-hosts Bill Mariano and Rob Hellewell introduce themselves and the premise of Law & Candor ‚Äì a podcast wholly devoted to pursuing the legal technology revolution.To kick...,   In the d√©but episode, co-hosts Bill Mariano and Rob Hellewell introduce themselves and the premise of Law & Candor ‚Äì a podcast wholly devoted to pursuing the legal technology revolution. To kick things off, Bill and Rob introduce the first segment of the podcast - SIGHTINGS OF RADICAL BRILLIANCE - which, as the name implies, is the part of the show where they discuss the latest news of noteworthy innovation and acts of sheer genius. In this episode, they dive into a recent story around Elon Musk‚Äôs brain-to-computer interface and what this means for the legal space. In the next segment - the guest speaker segment - our co-hosts are joined by Karl Sobylak , Senior Product Manager at Lighthouse, to uncover the answers the following questions around AI and analytics: Why do data science and analytics seem to be making great progress in so many industries aside from the law? How will AI and analytics be incorporated in the day to day life of a lawyer? What about the fear that AI and analytics will replace lawyers, is this true? What about the potential for AI and machine learning to be more limited in the law than they are for other industries, is that true? What‚Äôs the hardest part about applying data science to the law and how would this work for a corporate legal department? In conclusion, our speakers share three top takeaways and preview the next episode. Enjoy the show? Join in on the conversation on Twitter and discover more about our speakers and the show here . About Law & Candor Law & Candor is a podcast wholly devoted to pursuing the legal technology revolution. Co-hosts Bill Mariano and Rob Hellewell explore the impacts and possibilities that new technology is creating by streamlining workflows for ediscovery, compliance, and information governance. To learn more about the show and our speakers, click here .   , ai-and-analytics, ai-and-analytics, analytics; ai-big-data; podcast
September 20, 2019
Podcast
microsoft-365, information-governance

Moving to the Cloud: A Law Firm Journey

In the final episode of season one, co-hosts Bill Mariano and Rob Hellewell share their thoughts around AI-enabled deep fakes in SIGHTINGS OF RADICAL BRILLIANCE. In particular, they chat about the...,   In the final episode of season one, co-hosts Bill Mariano and Rob Hellewell share their thoughts around AI-enabled deep fakes in SIGHTINGS OF RADICAL BRILLIANCE. In particular, they chat about the implications and dangers around this technology and what that means for the legal space and beyond. Bill and Rob bring on David Arlington , Special Counsel at Baker Botts, to discuss the move to the Cloud from a law firm‚Äôs perspective. Bill and Rob cover the following questions with David in the season finale: Why did the firm decide to move to a cloud-based service? Did you get any pushback or fear around moving to the Cloud, and, if so, how did you handle it? How long did it take to get up on the Cloud, from the initial decision to getting up and running on the Cloud? What were some of the unanticipated surprises that popped up during this process? What kind of advantages have you seen so far? The season ends with key takeaways from the guest speaker section and a reminder to watch for the release of season two in December. Connect with us Twitter and discover more about our speakers and the show here . About Law & Candor Law & Candor is a podcast wholly devoted to pursuing the legal technology revolution. Co-hosts Bill Mariano and Rob Hellewell explore the impacts and possibilities that new technology is creating by streamlining workflows for ediscovery, compliance, and information governance. To learn more about the show and our speakers, click here .   , information-governance; microsoft-365, microsoft-365, information-governance, self-service, spectra; cloud-migration; podcast; law-firm
September 20, 2019
Podcast
microsoft-365, information-governance, chat-and-collaboration-data

Microsoft Office 365 Part 2: How to Leverage all the Tools in the Toolbox

In the fourth episode of season one, co-hosts Bill Mariano and Rob Hellewell begin with SIGHTINGS OF RADICAL BRILLIANCEaround the dawn of realistic face masks as well as retina scans and...,   In the fourth episode of season one, co-hosts Bill Mariano and Rob Hellewell begin with SIGHTINGS OF RADICAL BRILLIANCEaround the dawn of realistic face masks as well as retina scans and fingerprints for authentication, and the security and legal concerns that hide beneath. Next, Bill and Rob introduce guest Chris Hurlebaus , eDiscovery Architect at Lighthouse, to discuss the tools that are available in Office 365 and how to leverage them. The speakers cover the following questions in this episode: What do I need to know around Office 365 licensing when having an ediscovery conversation? What Office 365 tools are currently available to users? What are the different options/subscription levels? What are the advanced features of Office 365? What about reporting of ediscovery activities in Office 365? What is Microsoft looking to do next around this technology? In the end, our co-hosts wrap up with a few key takeaways. Follow us on Twitter and discover more about our speakers and the show here . Related Links Case Study: The Benefits of an Office 365 Workshop About Law & Candor Law & Candor is a podcast wholly devoted to pursuing the legal technology revolution. Co-hosts Bill Mariano and Rob Hellewell explore the impacts and possibilities that new technology is creating by streamlining workflows for ediscovery, compliance, and information governance. To learn more about the show and our speakers, click here .   , microsoft-365; information-governance; chat-and-collaboration-data, microsoft-365, information-governance, chat-and-collaboration-data, microsoft; podcast
September 20, 2019
Podcast
information-governance, microsoft-365

Moving to the Cloud: A Corporate Journey

Law & Candor co-hosts Bill Mariano and Rob Hellewell kick things off with Sightings of Radical Brilliance, in which they discuss Rob Robinson's recent article around the eras of ediscovery and...,   Law & Candor co-hosts Bill Mariano and Rob Hellewell kick things off with Sightings of Radical Brilliance, in which they discuss Rob Robinson's recent article around the eras of ediscovery and where the industry is going next. In today‚Äôs episode, Bill and Rob are joined by Alex Shusterman , eDiscovery Manager at Accenture. The three discuss key components for corporate legal teams to keep in mind when considering the move to the Cloud as well as the benefits. Below are the questions they address: What are the key aspects corporate legal teams should keep in mind when considering the move to the Cloud? Why is it critical for Legal and IT to be in collaboration for these types of moves? What should corporate legal teams avoid when moving to the Cloud? What are lessons learned from moving to the Cloud? What are some of the benefits of moving to the Cloud? In conclusion, our co-hosts end the episode with key takeaways. To join in on the conversation, connect with us Twitter and discover more about our speakers and the show here . About Law & Candor Law & Candor is a podcast wholly devoted to pursuing the legal technology revolution. Co-hosts Bill Mariano and Rob Hellewell explore the impacts and possibilities that new technology is creating by streamlining workflows for ediscovery, compliance, and information governance. To learn more about the show and our speakers, click here .   , information-governance; microsoft-365, information-governance, microsoft-365, self-service, spectra; cloud-migration; corporation; podcast
September 20, 2019
Podcast
microsoft-365, information-governance

Microsoft Office 365 Part 1: Microsoft’s Influence on the Next Evolution of eDiscovery

Co-hosts Bill Mariano and Rob Hellewell introduce the issues around ephemeral data in SIGHTINGS OF RADICAL BRILLIANCE. In particular, they look at the huge growth rates in Snapchat users and what...,   Co-hosts Bill Mariano and Rob Hellewell introduce the issues around ephemeral data in SIGHTINGS OF RADICAL BRILLIANCE. In particular, they look at the huge growth rates in Snapchat users and what the continued growth of ephemeral data means for the legal space. Next, Bill and Rob bring on Mo Ramsey , General Manager of Global Advisory Services at Lighthouse, to help uncover the answers to the following questions around Office 365 in the ediscovery space: What does Microsoft‚Äôs evolution of ediscovery capabilities in Office 365 look like? What‚Äôs Microsoft doing within ediscovery and how do they want to differentiate? What specific actions are advanced users able to perform in Office 365? What should teams consider when evaluating Office 365? The show concludes with key takeaways from the guest speaker segment. Join the conversation on Twitter and discover more about our speakers and the show here . About Law & Candor Law & Candor is a podcast wholly devoted to pursuing the legal technology revolution. Co-hosts Bill Mariano and Rob Hellewell explore the impacts and possibilities that new technology is creating by streamlining workflows for ediscovery, compliance, and information governance. To learn more about the show and our speakers, click here .   , microsoft-365; information-governance, microsoft-365, information-governance, microsoft; podcast
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