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Machine Learning Data Management Technology-Assisted Review

Epiq

Your Model Isn’t Failing — Your Data Is

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What is your first instinct when your TAR model performs poorly on a control set?  A commonly held view is that more training data (read: more review effort) would help push the performance in terms of Recall and Precision...more

EDRM - Electronic Discovery Reference Model

Illumination Zone: Episode 201 | John Tredennick of Merlin Search Technologies sits down with Kaylee & Mary

John Tredennick, CEO and founder of EDRM Trusted Partner, Merlin Search Technologies, sits down with Kaylee & Mary to talk about his journey from litigation partner to eDiscovery entrepreneur, why he founded another...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

Integreon

The e-Cla(i)res – An interview with Phoebe Gebre, Chair of the Integreon Lit Technology Committee

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The E-Cla[i]res recently sat down with Phoebe Gebre Integreon VP – Litigation Services, and Chair of the Litigation Technology Committee....more

Foley & Lardner LLP

Leveraging Artificial Intelligence to Reach Favorable Settlement Outcomes

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“We’ve been sued” — words few want to hear. Being served with an unexpected lawsuit can throw your entire organization into disarray. Even expected litigation can leave you scrambling to figure out next steps. Yet, these days...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

State of AI in eDiscovery

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Foreword - In the span of just one year, AI has moved from early exploration to pockets of true execution within the legal industry. While use of AI is by no means ubiquitous, the pace of adoption is occurring more rapidly...more

U.S. Legal Support

How to Choose the Right Trial Technology Partner

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In 2025, technology holds a well-established place in the legal profession. And even though there are headlines about emerging tech itself being on trial, the pros of Artificial Intelligence (AI), Machine Learning (ML), and...more

Purpose Legal

AI rEvolution – Choosing Generative AI for Document Review? Don’t Overthink It!

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Recently, while preparing for an upcoming panel presentation at the ASU Arkfeld eDiscovery, Law and Technology Conference on March 11 and 12 (Learn more about the conference HERE), my co-panelists and I were discussing...more

EDRM - Electronic Discovery Reference Model

Breaking New Ground: Evaluating the Top AI Reasoning Models of 2025

The year 2025 has brought us closer than ever to the dawn of artificial general intelligence, with AI systems now capable of reasoning on par with humans—or even surpassing them in specific domains. In this article, I examine...more

Association of Certified E-Discovery...

Your Perspective Matters: Shape Legal AI with the ACEDS 2025 Survey

ACEDS is launching its Third Annual Artificial Intelligence Survey. This year the survey is sponsored by Secretariat and ACEDS is proud to be working once again with Rich Finkelman and his new team to deliver insights to the...more

EDRM - Electronic Discovery Reference Model

Creating a Compelling Argument in the BP Trial: Halliburton’s Closing

In our recent articles exploring how generative AI can transform trial preparation, we demonstrated how Large Language Models (LLMs) could analyze complex trial materials to generate sophisticated closing arguments. Our first...more

TransPerfect Legal

eDiscovery Trends for 2025: Navigating Innovation and Challenges

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January may already be in the rear-view mirror, but it’s never too late to get ahead of the eDiscovery curve as we accelerate into 2025. Driven by technological advancements and shifting client expectations, legal...more

HaystackID

[Webcast Transcript] Protect Sensitive Data and Control Costs: An eDiscovery Blueprint for the Construction Industry

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Editor’s Note: The recent HaystackID® webcast, “Protect Sensitive Data and Control Costs: An eDiscovery Blueprint for the Construction Industry,” explored the challenges of managing vast and complex construction data while...more

Lighthouse

Top 5 AI Trends Law Firms Must Know in 2025

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Summary - Law firms that embrace AI in 2025 will gain a strategic edge in eDiscovery, from early case assessment to data-driven negotiations. Cutting-edge firms are using AI to analyze modern data, optimize document review,...more

Mitratech Holdings, Inc

5 Steps for Evaluating Your Legal Tech Stack for the New Year

A Strategic Guide for Legal Departments to Optimize Their Technology Stack and Drive Efficiency in 2025 - The start of a new year brings a fresh opportunity to take stock of what’s working and what’s not – especially when...more

Association of Certified E-Discovery...

The Shifting E-Discovery Landscape: From Artificial Intelligence to Antitrust

The rapid evolution of e-discovery presents both opportunities and challenges for e-discovery teams. Almost half (49%) of the participants in the 2024 E-Discovery Unfiltered report expected the number of litigation matters to...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

EDRM - Electronic Discovery Reference Model

Using Generative AI to Create Compelling Closing Arguments in Complex Litigation

In our recent article “Understanding GenAI Response Limits: What Every Legal Professional Should Know,” we explored how legal professionals can overcome the traditional length limitations of Large Language Models that...more

EDRM - Electronic Discovery Reference Model

Understanding GenAI Response Limits: What Every Legal Professional Should Know

As some readers will know, we have spent many hours working with Generative AI-based Large Language Models (“LLMs”) like GPT (aka ChatGPT) and Claude. We use both in our DiscoveryPartner® software to summarize and synthesize...more

U.S. Legal Support

Upcoming Technology Trends in Litigation Support

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Litigation technology is becoming increasingly important to litigation support services. Firms and legal professionals are leveraging emerging legal tech despite the misconception that our profession can be stuck in its ways...more

EDRM - Electronic Discovery Reference Model

Optimism and Innovation in eDiscovery: Fall 2024 Business Confidence Survey Insights

ComplexDiscovery Editor’s Note: The 36th edition of the eDiscovery Business Confidence Survey provides a compelling narrative of an industry at the crossroads of optimism and innovation. This Fall 2024 report not only...more

J.S. Held

Leveraging Generative AI in Complex Investigations

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Complex investigations are on the rise with investigators being asked to do more with less, therefore needing to gain efficiency to handle workloads. A complex investigation can be triggered by a litigation event, government...more

EDRM - Electronic Discovery Reference Model

Designing Generative AI for Legal Professionals: Key Principles and Best Practices

Generative AI is transforming the landscape of legal technology, offering unprecedented opportunities to automate tasks and streamline complex workflows. Yet, designing AI tools that truly meet the needs of legal...more

Cimplifi

The Future Of Document Review

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Staying at the forefront of eDiscovery technology is critical. Relativity aiR, leveraging advanced GPT and other cutting-edge technologies, represents the next generation of Technology-Assisted Review (TAR). Here’s how we’re...more

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