LighthouseIQ Saves Hundreds of Thousands in Months

The Client

The client operates at the forefront of AI innovation while simultaneously navigating heightened regulatory oversight and increasingly complex civil litigation.

The Legal Challenge

Over the past two years, this client has faced a sharp increase in high-profile, high-stakes litigation and regulatory investigations. Matters often involve novel technologies, modern collaboration and messaging platforms, and compressed response timelines.

This was creating sustained pressure on traditional eDiscovery models and legacy discovery tools, which proved to be inefficient and difficult to scale at the speed required. Repeated data recollection, redundant review, and inconsistent issue identification also introduced unnecessary costs and risks. The client needed an approach that could apply intelligence across matters, learn from prior work, and deliver defensible results quickly.

The Lighthouse Solution

We implemented a LighthouseIQ-driven eDiscovery program capable of scaling across the client’s litigation and investigative portfolio, prioritizing the client’s need for speed, consistency, and defensibility. Through the rapid design and deployment of this framework, Lighthouse has helped the client:

• Meet aggressive discovery and regulatory obligations
• Reduce eDiscovery risk across multiple concurrent matters
• Save hundreds of thousands of dollars in just a few months
• Maintain consistency, defensibility, and institutional knowledge across a growing litigation portfolio

As new matters arise, the program continues to scale, leveraging prior AI-driven insights rather than restarting the discovery process with each engagement.

Pillars of the LighthouseIQ eDiscovery Program

In 2024, Lighthouse launched a programmatic eDiscovery initiative for this client that was grounded in what would become the LighthouseIQ platform and application suite. The objective was to move beyond point solutions and instead create an adaptive framework that continuously improves as new matters arise. The pillars of this framework and the results achieved in just the first year are below.

Reusing Work Product at Scale with LLM-Backed Technology

Lighthouse built a centralized data repository designed specifically to support work product reuse across litigation. Each matter is maintained in its own siloed workspace, where LighthouseIQ is used to:

• Identify when prior work product is relevant to new matters
• Reuse review decisions, key documents, and privilege determinations
• Control reuse across matters while maintaining strict, matter-level silos for privilege and confidentiality

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The result:

• Reduced unnecessary recollection and reprocessing across litigation by over 10 terabytes
• Saved tens of thousands of dollars by minimizing duplicative attorney review while improving cross-matter consistency

Accelerating Fact Development Under Regulatory Deadlines

The impact of LighthouseIQ has also been pronounced in matters requiring rapid issue and document identification under regulatory pressure. In a recent regulatory inquiry, outside counsel had only days to identify critical facts from hundreds of thousands of documents. This timeline would have been impossible to achieve using traditional search and review technology.

Lighthouse deployed IQ Case Strategy to:

• Rapidly analyze hundreds of thousands of documents
• Surface the key documents tied to three core legal issues
• Prioritize results for attorney review within days
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The result:

• Reduced review costs by more than $100,000
• Completed the regulatory response within two weeks
• Delivered the documents attorneys needed within days (vs. the months it would have taken with traditional search tools), giving them more time to work on data-backed legal analysis

Building a Defensible Forensics Foundation

Lighthouse also designed and implemented a centralized forensics collection program spanning all of the client’s major data sources, including:

• Google Vault and Google Drive
• Slack
• Mobile devices
• Non-standard messaging and social applications

The forensic program addressed nuanced challenges that arise in modern data environments, including the preservation, collection, and treatment of hyperlinked attachments, particularly where contemporaneous versions are unavailable. Lighthouse’s forensic team improved collection efficiency and defensibility by:

• Developing a core forensics playbook to standardize data retrieval across matters
• Designing targeted collection workflows that leverage usage and access patterns to prioritize files actually accessed by custodians, significantly reducing over-collection
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The result:

• Improved collection consistency across matters while minimizing unnecessary data processing and review via a repeatable forensic program