Federal Judge Grants Preliminary Approval of Anthropic’s $1.5 Billion Settlement In Copyright Case

A federal judge in the Northern District of California granted preliminary approval on September 25 to a $1.5 billion settlement between Anthropic and a class of authors who alleged that the artificial intelligence company used their copyrighted works to train its chatbot Claude without their consent. The settlement is the largest copyright settlement of all time, covering 482,460 works and paying authors slightly more than $3,000 per work infringed.

4 minute read September 30, 2025 at 11:05 PM
By
Michael Gennaro
Federal Judge Grants Preliminary Approval of Anthropic’s $1.5 Billion Settlement In Copyright Case

A federal judge in the Northern District of California granted preliminary approval on September 25 to a $1.5 billion settlement between Anthropic and a class of authors who alleged that the artificial intelligence company used their copyrighted works to train its chatbot Claude without their consent.

This premium content is locked for The Intellectual Property Strategist subscribers only

ENJOY UNLIMITED ACCESS TO THE SINGLE SOURCE OF OBJECTIVE LEGAL ANALYSIS, PRACTICAL INSIGHTS, AND NEWS IN The Intellectual Property Strategist

  • 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

Adverse Possessor Provided Insufficient Evidence to Support TackingTown’s Installation of Guardrails Did Not Constitute a TakingMortgagee Entitled to Deficiency JudgmentLandowner Adequately Alleged Trespass During Renovation

August 13, 2026

Agentic AI introduces risks that are novel and complex, but the most effective response is a familiar one. Zero Trust answers the problem of when an AI agent misfires on its own by constraining what an agent can do rather than betting on how it will behave.

July 31, 2026