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Artificial Intelligence Legal Project Management

U.S. Legal Support

Litigation Automation: Streamlining Legal Workflows

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What could you do for your clients if you sliced away a quarter or more of your current day-to-day tasks? A landmark McKinsey study estimated that simply by using existing technology, attorneys could automate roughly 23% (and...more

Best Era

[Event] AI Era: The Future of Legal Workflows - November 13th - 14th, Charleston, SC

Best Era on

Join the movement of forward-thinking firms embracing AI the right way. WHERE LEGAL INNOVATION MEETS REAL IA STRATEGY - Join top legal professionals, AI innovators, and operations experts for a 2-day live experience...more

The Modern Firm

Strategies to Optimize Content for AI

The Modern Firm on

We have been noticing a couple of emerging trends here at The Modern Firm. First, we have noticed our clients have begun to get “referrals” from AI models like ChatGPT, Perplexity, Microsoft CoPilot, and Google’s Search...more

EDRM - Electronic Discovery Reference Model

Reasonable or Overreach? Rethinking Sanctions for AI Hallucinations in Legal Filings

Abstract - This article examines the problem of fabricated or hallucinated citations in legal briefs, focusing on the recent federal decision in Johnson v. Dunn as a case study. That decision highlights the risks when lawyers...more

LegalMation

5 Pitfalls Of Delaying Automation In High-Volume Litigation And Claims

LegalMation on

Why You Can’t Afford to Wait to Adopt AI Tools that have Plaintiffs Moving Faster than Ever...more

Kilpatrick

The Sky's The Limit: Why E-Discovery Platforms Are Not Just for Discovery Anymore

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While once a novel concept, the term “e-discovery” is now synonymous with the everyday practice of litigation. The process of spending hours in remote locations combing through boxes of documents and marking them with post-it...more

Cimplifi

Chess, Not Checkers: Future Trends in Litigation and eDiscovery Technology

Cimplifi on

Several looming technological developments are poised to significantly impact the management of litigation and discovery. These emerging technologies have the potential to enhance efficiency and reduce costs but also...more

EDRM - Electronic Discovery Reference Model

When AI Policies Fail: The AI Sanctions in Johnson v. Dunn and What They Mean for the Profession

The Johnson v. Dunn sanctions order proves that firm policies and experience aren’t enough—only rigorous verification prevents AI citation disasters...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

EDRM - Electronic Discovery Reference Model

The $20 Test: What a Parking Lot Taught Me About AI and Legal Judgment

Every day, lawyers and judges the world over are asking ChatGPT and other AI tools to help them reason through complex ethical dilemmas, draft arguments, and make strategic decisions....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

9Sail

Dear Lawyers: You Don’t Get All Your Business From Referrals, and I Can Prove It

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Here’s a reality check that might sting: while 70% of attorneys believe referrals are their greatest channel for new business, only 30% of in-house counsel actually refer their primary law firm to peers. This massive...more

Law Office of Jason Ostendorf

Do We Still Need Trial Court Judges? Or Is It Time to Let AI Take the Bench?

If you’re a judge reading this, take a breath. The goal here isn’t to paint you as the problem. Quite the opposite. The best judges—the ones who believe in the rule of law, who sweat the details and carry the weight of their...more

Baker Donelson

The Perils of Legal Hallucinations and the Need for AI Training for Your In-House Legal Team!

Baker Donelson on

Generative AI is rewriting how lawyers work at record speed, but is also quietly flooding Courts with phantom citations and invented case law along the way. In recent months, a number of judges across the country have...more

Lighthouse

The Five Dimensions of AI Value

Lighthouse on

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

9Sail

The AI Search Revolution in B2B Legal: Why ChatGPT, Perplexity, and Claude Are Becoming Your Biggest Referral Sources

9Sail on

A quiet revolution is underway in search behavior: AI-powered search engines are becoming the primary research tool for sophisticated B2B clients who need legal services. This isn’t a gradual shift; it’s an acceleration...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

Akerman LLP

The AI Legal Landscape in 2025: Beyond the Hype

Akerman LLP on

The conversation around AI in legal practice has fundamentally shifted. We're no longer debating if AI will transform legal work, but how we implement it effectively. After 25 years navigating the intersection of law and...more

EDRM - Electronic Discovery Reference Model

Chambers Guidance: Using AI Large Language Models (LLMs) Wisely and Ethically

Tomorrow, I’m delivering a talk to the Texas Second Court of Appeals (Fort Worth), joined by my friend, Lynne Liberato of Houston. We will address LLM use in chambers and in support of appellate practice, where Lynne is a...more

Cornerstone Research

The Role of Large Language Models in Driving Legal Innovation

Cornerstone Research on

Innovation in the legal industry is particularly challenging because the expectation of accuracy is simply higher than in most sectors. “Move fast and break things” is not an option. Even so, in a period where virtually every...more

Epiq

The AI Plunge: Partnering With a Managed Services Provider

Epiq on

In the decade since the introduction of Technology Assisted Review (TAR), AI tools have steadily gained acceptance. Now, in 2025, these technologies are not only commonplace but actively sought after — even by the most...more

Integreon

How Generative AI Turbocharges Contract Lifecycle Management (CLM) Technology

Integreon on

This is the first blog of a five-part series on CLM Adoption in the Age of AI.  Contract lifecycle management (CLM) technology is critical to today’s legal operations. Already well established as tools to drive efficiency,...more

Association of Certified E-Discovery...

[Event] Summer Sizzle: Exploring Hot Technology for Case Strategy with GenAI - June 25th, Austin, TX

Join us for an engaging lunchtime panel hosted by Central TX ACEDS, A&M, and Relativity, where legal professionals will explore cutting-edge technologies shaping the future of case strategy. As litigation teams face...more

Cornerstone Research

The Evolving Role of Artificial Intelligence and Machine Learning in Expert Analyses

Cornerstone Research on

Artificial intelligence (AI) and machine learning (ML) are increasingly influencing many aspects of the legal sector, including legal expert analyses. To determine how often AI and ML are used in expert analyses and identify...more

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