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Document Review Discovery Machine Learning

Epiq

Review Strategies for Multilingual Data in Technology-Assisted Review

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The growing digital landscape presents increasing complexity for legal teams managing multilingual data during investigations and litigation. The expanding diversity of languages can impact the accuracy and efficiency of...more

Association of Certified E-Discovery...

[Webinar] Retrain Your Brain: TAR Workflow to AI-Based Prompts - September 9th, 1:00 pm - 2:00 pm CT

Welcome to Retrain your Brain: TAR workflow to AI-Based Prompts event! Join us on September 9, 2025 at 1:00 PM (Central Time) for an exciting session on transforming your workflow with AI prompts. Let's dive deep into the...more

Epiq

Defensibility Considerations With AI: Best and Worst-Case Scenarios

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The use of AI in eDiscovery introduces opportunities and challenges, particularly when it comes to defensibility. Legal practitioners must be prepared to justify their use of AI tools under both ideal and adversarial...more

Ankura

Supercharging Mass Claims: Leveraging AI and LLMs in UK Group Litigation

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As the UK's collective redress regime continues to evolve, law firms face novel challenges at every turn. Building and managing mass claims in this environment demands not just legal acumen, but also exceptional efficiency...more

HaystackID

Will Courts “Search, Forward” with eDiscovery Case Law on AI?

HaystackID on

Editor’s Note: In this contributed article, Phil Favro draws sharp parallels between today’s artificial intelligence (AI) adoption anxieties and the technology-assisted review (TAR) debates of the early 2010s, offering a...more

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

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

Lighthouse

AI in Action: Improving TAR in Antitrust Matters

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Agility, precision, and the ability to stay ahead of the curve are everything in antitrust. In this Q&A, Lighthouse experts Kamika Brown (Client Success Manager, Antitrust) and Fernando Delgado (Senior Director, AI &...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

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

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

Kilpatrick

The Human Element Remains: How Legal Professionals and AI Can Best Collaborate in the Future of E-Discovery and Litigation

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In an era where artificial intelligence (AI) is reshaping every industry, the legal profession stands at a pivotal crossroads. Building on the successful adoption of predictive coding and machine learning in everyday...more

U.S. Legal Support

How to Streamline Record Retrieval

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Lawyers and legal professionals depend on seamless, efficient records retrieval at all stages of litigation. The healthcare industry also relies on efficient medical record retrieval services to process insurance claims and...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

Esquire Deposition Solutions, LLC

Technology-Assisted Review Was Litigation’s First Encounter With AI

While the use of artificial intelligence for drafting legal pleadings is a relatively new phenomenon, the deployment of artificial intelligence in pretrial discovery of electronically stored information is not. In fact, the...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

Epiq

Why Confidence Scoring With LLMs Is Dangerous

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When it comes to confidence assessments from LLMs, scoring predictions is essential. The most important thing is not the scores themselves, but the resulting ranking these scores produce. Once our model (TAR 1.0, TAR 2.0,...more

EDRM - Electronic Discovery Reference Model

Illumination Zone: Episode 202 | Esther Birnbaum of HaystackID sits down with Kaylee & Mary

In the twenty seventh episode of EDRM Trusted Partner, HaystackID’s monthly podcast series, Esther Birnbaum, Executive Vice President of Legal Data Intelligence, sits down with Kaylee & Mary to talk about how her in house...more

EDRM - Electronic Discovery Reference Model

ComplexDiscovery OÜ – Winter 2025 eDiscovery Pricing Report: A Market in Transition

In a year marked by technological innovation and market adaptation, the Winter 2025 eDiscovery Pricing Survey from ComplexDiscovery OÜ and the Electronic Discovery Reference Model provides a timely snapshot of pricing trends...more

Nextpoint, Inc.

Key Discovery Points: Get Your Copy of the 2025 eDiscovery State of the Industry Report

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Change is the only constant in the world of ediscovery – and it’s happening faster than ever. According to the 2025 State of the Industry Report by eDiscovery Today, trends like generative AI and cloud-based solutions are...more

U.S. Legal Support

The Evolution of AI in Litigation

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Although occasional murmurings about general AI reached the public during the 2010s, it was ChatGPT’s November ‘22 entrance onto the global stage that officially introduced the world to artificial intelligence....more

Lighthouse

Ensuring Consistency and Accuracy in Managed Document Review

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The importance of accuracy and consistency in document review can’t be overstated. Learn why they matter for your cases and budgets and the key role human reviewers play in achieving them. Amid recent leaps in technology and...more

Lighthouse

Is AI Too Expensive?

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Is AI too expensive for document review? Read about the key issues raised in the current debates about the ROI of AI, including initial setup costs and quality control, and how you can assess the technology’s value for you....more

Array

This Week in eDiscovery: Relativity Sets Server Deadline | Documents Lost in Translation?

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Every week, the Array team reviews the latest news and analysis about the evolving field of eDiscovery to bring you the topics and trends you need to know. This week’s post covers the period of January 26-February 1. Here’s...more

Cornerstone Research

5 Questions with Jonah Berger: Using Artificial Intelligence and Machine Learning in Litigation

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5 Questions is a periodic feature produced by Cornerstone Research, which asks our affiliated experts, senior advisors, and professionals to answer five questions. We interview Professor Jonah Berger, of the Wharton School,...more

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