Sony Music and Warner Chappell sue Anthropic, Dario Amodei, and Benjamin Mann, alleging tens of thousands of copyrighted songs were used to train Claude's LLMs
Sony Music Publishing and Warner Chappell Music have joined forces to sue Anthropic, home of Claude, over what the publishers call …
Context & Ripple Effects
The suit extends a dispute that began with a 2023 publisher copyright case against Anthropic over alleged lyric use in model training. In 2025, Anthropic agreed with three publishers to stop Claude from supplying their lyrics or generating new lyrics based on copyrighted material while a court ruling was pending.
Sony had already put AI developers and streaming platforms on notice through its warnings over unauthorized training use, while a publisher coalition brought another Anthropic action in January 2026. Sony Music Publishing and Warner Chappell joining the challenge broadens the set of major music-rights owners pursuing claims against Claude's developer.
First-order effects
- Anthropic, Dario Amodei, and Benjamin Mann must defend a new copyright action alleging that Claude's training involved tens of thousands of songs.
- Sony Music Publishing and Warner Chappell gain a direct forum to press their training-data claims, alongside publishers already litigating against Anthropic.
Second-order effects
- The 2025 output restriction sought by other publishers becomes a more consequential reference point for Anthropic as additional major rights holders contest the inputs to Claude, not only its lyric outputs.
- Sony's parallel copyright suit against Udio and this action put AI developers using music-related material under coordinated pressure from publishers to establish authorized-data practices.
Third-order effects
- If publisher claims continue to expand from lyric outputs to model training, music rights owners are likely to treat generative-AI datasets as a licensing and enforcement market rather than a one-off infringement dispute.
- The cluster of Anthropic cases points toward court rulings and negotiated controls becoming key determinants of which copyrighted music can be incorporated into general-purpose AI systems.
The trend: Music publishers are escalating from warnings and output controls to litigation aimed at making AI training on songs an accountable, licensable use.