Account

Sign in to access your account and subscription

Interviews With Defense Lawyers In Authors' AI Suit Against Meta

Whether there's a fair use right to use copyrighted texts to train learning language models (LLMs) such as LLaMA is one of the central legal questions facing companies developing generative artificial intelligence. District Judge Chhabria then knocked out a significant chunk of the plaintiffs' initial claims — a win for Meta's legal team. Following are interviews about the case with these defense lawyers.

5 minute read January 01, 2024 at 12:09 AM
By
Ross Todd
Interviews With Defense Lawyers In Authors' AI Suit Against Meta

When comedian Sarah Silverman and authors Richard Kadrey and Christopher Golden sued Meta Platforms claiming the company infringed their copyrights by training its LLaMA set of large language models using data sets that included their books, it was no laughing matter.

This premium content is locked for LawJournalNewsletters subscribers only

ENJOY UNLIMITED ACCESS TO THE SINGLE SOURCE OF OBJECTIVE LEGAL ANALYSIS, PRACTICAL INSIGHTS, AND NEWS IN LawJournalNewsletters

  • Stay current on the latest information, rulings, regulations, and trends
  • Includes practical, must-have information on copyrights, royalties, AI, and more
  • Tap into expert guidance from top entertainment lawyers and experts

Already have an account? Sign In Now

For enterprise-wide or corporate access, please contact Customer Service at [email protected] or call 1-877-256-2473.

NOT FOR REPRINT

© 2026 ALM Global, LLC, All Rights Reserved. Request academic re-use from www.copyright.com. All other uses, submit a request to [email protected]. For more information visit Asset & Logo Licensing.

Continue Reading

AI claims are getting more scrutiny and regulators are looking more closely at whether organizations can substantiate what they say their AI does, while courts are beginning to address what happens when AI-generated search summaries get information wrong.

November 01, 2026

This is the second in a two-part series on AI-driven crises. Part 1 examined communications during an incident while the facts are still developing. Part 2 addresses crisis plans, governance and tabletop exercises before an agent acts on behalf of the business.

November 01, 2026