News & Analysis as of

Artificial Intelligence Legal Technology Machine Learning

McDonnell Boehnen Hulbert & Berghoff LLP

Applying Generative AI Tools to Patent Law Practice

Generative AI tools are poised to transform legal practice and offer unique challenges and opportunities, particularly in patent law. Modern large language model (LLM)-based tools enable faster, more efficient document...more

Troutman Pepper Locke

California’s Latest Dueling Rulings — Fair Use of Copyrighted Materials in AI Algorithms

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Generative AI (GenAI) algorithms require data inputs to analyze, transform, and generate content. But does using copyrighted material without prior authorization for training or operating these algorithms infringe on the...more

Sterne, Kessler, Goldstein & Fox P.L.L.C.

IP Hot Topic: A Clash in California: Judicial Tug of War Between the Primacy of Transformative Use and Market Effect in GenAI Fair...

2025 Summer Associate Wade Marshall contributed to this article. Recently, two Northern District of California decisions revealed fault lines in the forming fair use terrain for GenAI copyright infringement actions. Both...more

Loeb & Loeb LLP

What Gen AI court rulings mean for content owners and creators

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Recent court decisions in two highly publicized Gen AI cases favored the platforms and may start to reduce the concerns over using Gen AI. But content owners and those working for them should still understand the legal...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

Farella Braun + Martel LLP

Fair Use at Scale: When Is "Spectacularly" Transformative Use Still Not Fair?

The recent ruling in a lawsuit against Anthropic highlights a growing complexity in how courts are approaching fair use in the context of AI training. Judge William Alsup held that developing Anthropic’s Claude model was...more

Quarles & Brady LLP

Concerned about AI Training Data and Copyrighted Works? New Guidance from the Northern District of California

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Two recent district court opinions from the Northern District of California, filed within days of each other address the use of copyrighted material in training data in two separate market dominating Large Language Models...more

EDRM - Electronic Discovery Reference Model

Panel of Experts for Everyone About Anything – Part Three: Demo of 4o as Panel Driver on New Jobs

This is the conclusion to the article, Panel of Experts for Everyone About Anything – Part One and Part Two. Here we give another demonstration of the software described in Part One. Part Two provided a demonstration where...more

Mintz - Venture Capital & Emerging Companies...

MintzTech Connect Industry News: Spotlight on Coworker.ai

Coworker.ai has recently announced the launch of the world’s first AI “teammate,” an agent that can perform complex work at the level of an experienced colleague. Powered by Organizational Memory (OM1), a proprietary memory...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

Lighthouse

AI in Action: Improving TAR in Antitrust Matters

Lighthouse on

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

McCarter & English, LLP

Court Sets New Limits on Use of Copyrighted Materials to Train AI Models

The rapid adoption of artificial intelligence (AI) has sparked a pressing legal debate over how copyrighted materials can be used to train generative AI systems, particularly large language models (LLMs), without permission...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

Sullivan & Worcester

Open Books, Narrow Rulings: The Northern District of California Grants AI Companies a Limited Fair Use Victory

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Since generative AI began its rapid ascent in 2022, the creative, tech and legal industries have grappled with a fundamental question: does using copyrighted works to train AI models violate the rights of creators, or does it...more

IR Global

Let AI Do It — With Background Apps

IR Global on

The ability to automate routine work without disrupting your day is no longer a luxury. That’s where “background apps” come in (included as part of our ndMAX AI App Builder)....more

EDRM - Electronic Discovery Reference Model

Avoiding the Third Rail of Legal AI: Don’t Let the Machine Think for You

Why professional responsibility demands we use AI as a tool—not a substitute—for legal thinking and decision-making. AI is transforming legal practice at breakneck speed. Generative AI tools promise unprecedented efficiency...more

Ropes & Gray LLP

[Podcast] Multidimensional Data Reversion: Implementing AI—Balancing Risks and Opportunities

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On this bonus episode of Ropes & Gray’s Insights Lab’s Multidimensional Data Reversion podcast series, Shannon Capone Kirk and David Yanofsky are joined by Michelle DiMartino, a cultural psychologist, to discuss the...more

White & Case LLP

Two California District Judges Rule That Using Books to Train AI is Fair Use

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Two days apart, two judges in the Northern District of California decided on summary judgment that two examples of using copyrighted works to train AI models were transformative, and ultimately fair use under US copyright...more

Ropes & Gray LLP

A Tale of Three Cases: How Fair Use Is Playing Out in AI Copyright Lawsuits

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In two recent Northern District of California decisions, AI companies prevailed on a fair use defense after being accused of infringing copyrights in works used to train AI models. The decisions, on their face, seem to...more

Baker Botts L.L.P.

AI Legal Watch: July 2

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The European Commission recently launched a public consultation on the implementation of the AI Act, primarily focused on the classification (and ultimate regulation) of “high risk” AI systems. The AI Act employs a risk-based...more

Association of Certified E-Discovery...

AI, Talent, and the eDiscovery Edge

eDiscovery professionals have long been ahead of the curve when it comes to legal tech. We’ve been talking about AI for years, well before it became the industry’s buzzword. Remember TAR? Predictive coding? Judge Andrew...more

Integreon

Five Steps to Take Before Purchasing Contract Lifecycle Management (CLM) Technology

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Before you begin the process of evaluating genAI-enabled CLM systems it is important to fully understand your own environment. This includes conducting an internal assessment of your own AI and contracts process maturity. The...more

Baker Botts L.L.P.

Kadrey v. Meta - Fair Use as a Matter of Law

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Kadrey v. Meta! On the merits! A doozy of a summary judgment opinion in form and substance. "The devil is in the details," but even for non-lawyers, at least the first five pages are a must-read - there are almost no legal...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

Integreon

Implementing GenAI for Contract Lifecycle Management: Technology Selection Criteria

Integreon on

Evaluating CLM systems with generative AI (genAI) capability requires some new twists in thinking about technology vendor qualifications. Experience and Reputation - Established vendors with many customers would typically...more

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