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e-Discovery Professionals Document Review e-Discovery

EDRM - Electronic Discovery Reference Model

From Search Hits to Answers: How GenAI Solved Complex Discovery Challenges at HKA’s “Hands On” AI Program in London

Picture this: Six teams of senior legal professionals from the world’s largest law firms and investigation groups, each armed with nothing but a natural language question and access to 14,000 documents from one of Britain’s...more

EDRM - Electronic Discovery Reference Model

Three More Lessons for eDiscovery from Home Improvement Projects

When people say that your life experiences can make you a better lawyer they’re usually talking about empathy. I went in a different direction and applied lessons learned from home improvement to eDiscovery practice. In part...more

Lighthouse

What Working on a 200,000-Line Privilege Log Taught Me About Generative AI

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Generative AI’s real strength lies in its adaptability—and in this blog, we share how it delivered fast, regulator-ready privilege log descriptions without sacrificing nuance or consistency. From custom prompts to flexible...more

Purpose Legal

Looking Beyond Generative AI – Agentic AI’s Potential in Legal Services (updated July 2025)

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Generative AI is quickly transforming many industries, including legal services. Many of us are already using (or at least experimenting with) Generative AI, with impressive results. By now, most will have heard, read about,...more

Association of Certified E-Discovery...

Defensibility Considerations Around AI in Best-Case and Worst-Case Scenarios

The integration of AI, including agentic AI, into eDiscovery workflows represents a significant evolution in how legal teams manage the review and production of electronically stored information (ESI). As with any...more

Association of Certified E-Discovery...

Cracking the Code on ESI

The volume of “documents” relevant to litigation and government investigations has exploded due to electronic data, leading to a significant shift in the discovery process. What once required a trip to a client’s filing...more

Purpose Legal

From OCR to AI The Future of Media and Image Analysis in eDiscovery

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In this episode of the Purpose Legal Podcast, Chief Innovation Officer Jeff Johnson sits down with Sergio Suarez, CEO of TackleAI, to explore how cutting-edge computer vision is transforming document analysis in legal. From...more

Purpose Legal

AI in eDiscovery Today: An Open Conversation

Purpose Legal on

AI in eDiscovery Today: An Open Conversation In this energizing episode of the Purpose Legal podcast, Jeff Johnson, Chief Innovation Officer at Purpose Legal, sits down with Jim Sullivan, CEO of eDiscovery AI, for a candid,...more

Redgrave LLP

Don’t Rush Past Relevance: Assessing the Discoverability of AI Prompts and Outputs

Redgrave LLP on

Much of the buzz about artificial intelligence (AI) in law has focused on its utility as a discovery tool rather than a potential source of discovery. While AI’s impact on discovery processes, such as reviewing and coding...more

EDRM - Electronic Discovery Reference Model

Document Content vs. Metadata in eDiscovery AI: A Clarification of Scope, Access, and Accuracy

Abstract - This article addresses a critical source of confusion in legal technology: the conflation of document content and metadata in generative AI tools for eDiscovery. Document content is the text and visual data you see...more

Array

Forging the Path Forward: My Journey Through the Evolution of eDiscovery and Legal Service Delivery

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When I first entered the legal services space over 18 years ago, eDiscovery wasn’t the structured, tech-driven process we know today – in fact, I didn’t even know what it was at the time. Like many of us back then, I learned...more

Lighthouse

The Five Dimensions of AI Value

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The true value of AI isn’t measured by a single metric or outcome but rather is derived from an interconnected set of goals. Read about five dimensions of value that are making AI critical for your work in eDiscovery and...more

EDRM - Electronic Discovery Reference Model

The Future is Now: Why Trial Lawyers and Judges Should Embrace Generative AI Now and How to Do It Safely and Productively

Introduction: The Urgency and Promise of Generative AI in Law - The unprecedented rapid advancement of generative artificial intelligence (AI) worldwide presents the legal profession with a pivotal opportunity for...more

Association of Certified E-Discovery...

The EU’s Legal Tech Tipping Point – AI Regulation, Data Sovereignty, and eDiscovery in 2025

As we navigate through 2025, the European legal landscape is undergoing a significant transformation, particularly in the realms of artificial intelligence (AI) regulation and data sovereignty. These changes are reshaping how...more

EDRM - Electronic Discovery Reference Model

Fed.R.Civ.P. 26(g) Was Violated by Permitting Client Searches With Minimal Oversight by Counsel

Fed.R.Civ.P. 26(g) is called the “stop and think” rule.  In Grullon v. Lewis, 2025 WL 1693425 (S.D.N.Y. Jun. 17, 2025), the court found a violation of that rule....more

EDRM - Electronic Discovery Reference Model

Case Study: Practical Testing for Effectively Organizing Documents with GenAI Review

This case study outlines a practical framework for evaluating Generative AI (“GenAI”) review for organizing documents in discovery using Relativity’s aiR for Review....more

EDRM - Electronic Discovery Reference Model

Privilege Log Deemed Partially Inadequate

In Gilbane Bldg. Co. v. School Bd. of Broward County, 2025 WL 1615553 (S.D. Fl. Jun 6, 2025), plaintiff moved to compel a “compliant” privilege log. The court decided six issues. The court wrote: “I agree that Defendant...more

EDRM - Electronic Discovery Reference Model

The Legal Ops Advantage: Why Smart Lawyers Don’t Go It Alone

Picture this: you’re in-house counsel, and your company’s just been sued. But you’ve seen this film before. You know (with reasonable certainty) how much it’ll cost to get from complaint to Rule 26, through discovery, motions...more

EDRM - Electronic Discovery Reference Model

AI Can Improve Great Lawyers—But It Can’t Replace Them

The rise of legal AI has sparked a familiar fear: that our hard-won expertise might be absorbed into machines. That lawyers will be off-loaded—our reasoning encoded, commodified, and reduced to prompts. That we’ll be...more

EDRM - Electronic Discovery Reference Model

GenAI Prompting for Smart Legal Professionals

When working with modern generative AI tools, creating effective prompts doesn’t have to be complicated or intimidating. One of the most powerful aspects of these systems is that you simply ask questions in plain English. In...more

Nextpoint, Inc.

Key Discovery Points: Be Willing to Agree and Compromise When It Comes to Hyperlinks

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In this Key Discovery Points video, Brett Burney of Nextpoint and Doug Austin of eDiscovery Today explore a key stipulation from the In re Uber Techs. Passenger Sexual Assault Litigation that’s reshaping the handling of...more

EDRM - Electronic Discovery Reference Model

ESI Protocol Should Define “Documents” and Address Redaction Based on Irrelevancy

We the Protestors, Inc. v. Sinyangwe, 348 F.R.D. 175 (S.D.N.Y. Dec. 18, 2024), makes several important points about the relationship between ESI Protocols and redaction of produced documents....more

Troutman Pepper Locke

Harnessing the Power of eDiscovery: The Revolution of AI and Technology in Litigation and Investigations - The Consumer Finance...

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In this episode of The Consumer Finance Podcast, Chris Willis is joined by Troutman Pepper Locke Partners Joseph DeFazio and Jason Manning, along with Alison Grounds, founder and managing partner of Troutman Pepper Locke’s...more

EDRM - Electronic Discovery Reference Model

Enhancing Discovery with Alchemy Textract: How AI-Powered OCR Captures Handwritten Notes and Poorly Scanned Documents

In today’s legal landscape, investigations and discovery often involve processing thousands of complex documents. Traditional Optical Character Recognition (OCR) technology struggles with the varied document types legal...more

Pagefreezer

What Is Technology Assisted Review (TAR)?

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In a world where more than 2.5 quintillion bytes of data are created every day, the eDiscovery process isn’t only complex and time-consuming, but it can be extremely costly as well....more

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