AI and Analytics

Browse our library for the latest on how advancements in AI and analytics are being used to solve modern data challenges in eDiscovery and information governance.

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Alignment and Savings Across a Dynamic Portfolio

Lighthouse Key Document Identification Proves Pivotal to Antitrust Defense

Lighthouse Self-Service Solution Uplevels Compliance Investigations

Unprecedented Review Accuracy and Efficiency in Federal Criminal Investigation

Connecting Matters for Better, Faster eDiscovery

Simplifying Complex Multi-District Document Review

Lighthouse Streamlines a Complicated False Claims Investigation

Lighthouse Uncovers Key Evidence in Fast-Paced Employee Fraud Investigation

Whitepaper

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

eBook

How AI Advancements Can Revolutionize Document Review

Whitepaper

TAR + Advanced AI: The Future Is Now

eBook

Purchasing AI for eDiscovery - New, Now, and Next

eBook

eDiscovery Advancements Meet the Unique Challenges of Second Requests

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

Review Analytics for a New Era

Investigative Power: Utilizing Self Service Solutions for Internal Investigations

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

Staying Ahead of the AI Curve

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

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

eDiscovery Review: Family Vs. Four Corner

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

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

AI and Analytics for Corporations: Common Use Cases

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

AI, Analytics, and the Benefits of Transparency

Leveraging AI and Analytics to Detect Privilege

Facilitating a Smooth and Successful Large Review Project with Advanced Analytics

Scaling Your eDiscovery Program: Self Service to Full Service

Effective Strategies for Managing DSARs

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

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

Tackling Big Data Challenges

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

New Efficiency Gains in TAR 2.0 and CMML Revealed

The Privilege in Leveraging Privilege Review Tools

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

Why Legal Teams Need to Reduce Repeated Document Review

3 Reasons Traditional Document Review Isn’t Flexible Enough for Your Needs

To Reduce Risk and Increase Efficiency in Investigations and Litigation, Data is Key

Legal Tech Innovation: Learning to Thrive in an Evolving Legal Landscape

Legal Tech Innovation: Gaining Trust in New Technology and Processes

Why You Need a Specialized Key Document Search Team in Multi-District Litigation

What is the Future of TAR in eDiscovery? (Spoiler Alert – It Involves Advanced AI and Expert Services)

Top Four Considerations for Law Firms When Choosing a SaaS eDiscovery Solution

What Attorneys Should Know About Advanced AI in eDiscovery: A Brief Discussion

To Reinvigorate Your Approach to Big Data, Catch the Advanced AI Wave

Three Reasons Why Law Firms Should Adopt SaaS for eDiscovery

Three Ways to Use eDiscovery Technology to Reduce Repeated Review

The Sinister Six…Challenges of Working with Large Data Sets

TAR Protocols 101: Avoiding Common TAR Process Issues

TAR 2.0 and the Case for More Widespread Use of TAR Workflows

Self-Service eDiscovery for Corporations: Three Tips for a Successful Implementation

Overcoming eDiscovery Trepidation - Part I: The Challenge

Self-Service eDiscovery: Top 3 Technical Pitfalls to Avoid

Self-Service eDiscovery for Corporations: Four Considerations For Selecting the Solution That’s Right for You

Purchasing AI for eDiscovery: Tips and Best Practices

Preparing for Big Data Battles: How to Win Over AI and Analytics Naysayers

Privilege Mishaps and eDiscovery: Lessons Learned

Overcoming eDiscovery Trepidation - Part II: A Better Outcome

Navigating the Intersections of Data, Artificial Intelligence, and Privacy

New Rules, New Tools: AI and Compliance

Minimizing Self-Service eDiscovery Software Tradeoffs: 3 Tips Before Purchasing

Legal Tech Trends from 2020 and How to Prepare for 2021

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

Legal Tech Trends to Watch

Legal Tech Innovation: The Future is Bright

Legal and AI: A Symbiotic Relationship for Modern Disclosure

How to Overcome Common eDiscovery Challenges for Franchises

In Flex: Utilizing Hybrid Solutions for Today's eDiscovery Challenges

How the Right Legal Team, AI, and a Tech-Forward Mindset Can Optimize Review

How Name Normalization Accelerates Privilege Review

How to Get Started with TAR in eDiscovery

From A to Ziti: Finding Hidden Meaning and Intent in Large Datasets

Finding the Needles Faster – Speeding up the Second Request Process

Four Ways a SaaS Solution Can Make In-House Counsel Life Easier

eDiscovery, Ethics, and the Case for AI

Delivering Value: Sharing Legal Department Metrics that Move the Core Business

Deploying Modern Analytics for Today’s Critical Data Challenges in eDiscovery

Data Reuse – Small Changes for Big Benefits

Challenging 3 Myths About Document Review During Second Requests

Building Your Case for Cutting-Edge AI and Analytics in Five Easy Steps

Big Data Challenges in eDiscovery (and How AI-Based Analytics Can Help)

Big Data and Analytics in eDiscovery: Unlock the Value of Your Data

Best Practices for Embracing the SaaS eDiscovery Revolution

Automation of In-House Legal Tasks: How and Where to Begin

Is 2023 the Tipping Point for AI Adoption in Legal?

AI and Analytics: Reinventing the Privilege-Review Model

Analytics and Predictive Coding Technology for Corporate Attorneys: Six Use Cases

Analytics and Predictive Coding Technology for Corporate Attorneys: Demystifying the Jargon

Advanced Analytics – The Key to Mitigating Big Data Risks

AI and Analytics: New Ways to Guard Personal Information

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