
Anthropic's $1.5bn Copyright Settlement Approved as New Patent Suit Filed
A US federal judge finalised the record payout to authors while the University of Tennessee launched a separate neural-network patent claim against the AI firm.
A federal judge in San Francisco has granted final approval to a $1.5 billion settlement between the artificial intelligence company Anthropic and a class of authors, closing the largest known copyright damages case in United States history. On the same day, the University of Tennessee Research Foundation filed a patent infringement lawsuit against Anthropic in Delaware, alleging that the firm’s AI systems violate its patents on neuroscience-inspired machine learning technology. The twin developments underscore the intensifying legal pressure on AI developers over the data and methods used to build large language models.
The settlement resolves a 2024 class action in which authors accused Anthropic of using pirated copies of their books to train the chatbot Claude. In a June 2025 ruling, Judge William Alsup held that training AI on books constitutes fair use under US copyright law, but found that Anthropic’s storage of more than seven million pirated books in a central library—not all of which were used for training—violated copyright. The company’s deputy general counsel said the settlement was reached after that landmark fair-use decision. The lead attorney for the authors called the payout “the largest copyright recovery settlement in history.” Some authors objected that the sum was too low, but Judge Araceli Martínez-Olguín overruled those objections, stating they were not based on a realistic assessment of the risks of a trial.
The settlement covers roughly 500,000 rights holders, yielding an average of about $3,000 per book. A number of authors and publishers opted out and have filed separate lawsuits that are still pending. The newly launched patent suit alleges that Anthropic’s systems infringe two patents covering machine-learning technology inspired by neuroscience, invented by university professors. The university is seeking unspecified damages and an injunction, and stated that Anthropic’s “disregard for third-party intellectual property rights extends beyond the use of copyrighted material.”
Court filings have revealed the lengths to which Anthropic went to obtain training data. According to documents cited in the copyright case, the company downloaded millions of books from a digital archive that openly flouted copyright law. After the court’s fair-use ruling, Anthropic hired Tom Turvey, the former Google executive who built Google Books, to acquire physical copies of books from retailers, remove their spines, scan the pages and then shred the volumes. Judge Alsup noted that millions of books had already been turned into pulp. In Moscow, media companies, IT developers and rights-holder associations have petitioned the government to insert licensing requirements into a draft law on AI development. The current text would permit training on any publicly available copyrighted work without consent, a provision the petitioners argue would legalise the uncompensated use of all internet content.
The settlement distribution is expected to begin shortly. The patent case is in its preliminary stages, and the opt-out copyright lawsuits continue. Legislative debates in Russia and elsewhere signal that the legal framework governing AI training data remains deeply contested.
| Continental European press | −0.80 | critical |
|---|---|---|
| Russian & CIS press | +0.70 | aligned |
| Latin American press | 0.00 | neutral |
| Southeast Asian press | +0.30 | aligned |
Anthropic deliberately violated copyrights and even celebrated it. The settlement is an admission, but the practice must be stopped.
By quoting internal messages, the narrative creates the impression of intentional wrongdoing, strengthening moral condemnation.
The account omits that a court later ruled that training AI on books can be considered fair use, which relativizes the legal basis of the settlement.
Anthropic reached a settlement without admitting guilt, and the court confirmed that training AI on books is fair use. This is a victory for the AI industry.
Emphasizing the court's fair use ruling makes the settlement appear not as a punishment but as a compromise favorable to Anthropic.
The mention that Anthropic deliberately used a pirate archive and that the founder celebrated it is absent.
The $1.5 billion settlement is a milestone, but it does not resolve the tension between AI innovation and copyright. Fair use is still being tested in the courts.
By presenting multiple angles (settlement, patents, opinion), the coverage suggests the issue is complex and without a definitive conclusion, avoiding taking sides.
Neither the internal Anthropic email about the deliberate use of a pirate archive nor the court ruling that considered AI training as fair use are mentioned.
The Anthropic settlement is a minor bump on the road to an AI-powered future. The real story is the unprecedented progress AI will bring in the next five years.
By framing the legal case as a mere detail within a larger narrative of inevitable progress, the article minimizes its significance and directs attention to optimistic forecasts.
The article omits all specifics of the Anthropic copyright case, including the $1.5 billion settlement, the allegations of deliberate infringement, and the fair use ruling, thereby avoiding any negative framing.
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