Sony Music and Warner Chappell sue Anthropic, Dario Amodei and Benjamin Mann over alleged use of tens of thousands of songs to train Claude's LLMs.
anthropic claude copyright
| Source: Techmeme | Original article
Sony Music Publishing and Warner Chappell Music sued Anthropic and its founders Dario Amodei and Benjamin Mann, alleging the firm used tens of thousands of copyrighted songs to train its Claude LLM.
Sony Music Publishing and Warner Chappell Music have filed a joint lawsuit against Anthropic and its co‑founders Dario Amodei and Benjamin Mann, accusing the AI start‑up of training its Claude language models on “tens of thousands” of copyrighted musical compositions without permission. The complaint, lodged in the U.S. District Court for the Northern District of California on August 28, 2026, describes the alleged conduct as “one of the largest and most blatant ongoing thefts of intellectual property in history.”
The publishers allege that Anthropic’s data‑gathering practices copied full lyrics and musical works into the training corpus that powers Claude, enabling the model to generate text that can replicate or remix protected songs. By naming the company’s chief executive and a co‑founder personally, Sony and Warner signal a willingness to pursue both corporate and individual liability.
The case arrives at a moment when the AI industry is under increasing scrutiny for how it sources training data. If the court finds Anthropic liable, it could force a reassessment of data‑collection pipelines across the sector, potentially prompting stricter licensing regimes or the removal of large swaths of copyrighted content from future models. For music creators, the lawsuit underscores growing concerns that generative AI may erode traditional revenue streams and dilute control over artistic works.
What to watch next: Anthropic’s legal response and any motion for summary judgment, the likelihood of an injunction that could curb Claude’s ability to generate lyric‑related output, and whether other rights holders follow suit with similar actions. Industry bodies may also propose new standards for transparent data provenance, and legislators could introduce bills aimed at clarifying copyright exceptions for AI training. The outcome will shape how generative models are built and deployed in the music ecosystem.
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