Anthropic settlement faces judge scrutiny over fees and payouts

A federal judge in San Francisco, U.S. District Judge Araceli Martínez-Olguín, declined to give final approval to a proposed $1.5 billion settlement between Anthropic and a class of authors, seeking more detail on attorney fees and payments to lead plaintiffs, according to reporting by The Next Web and NewsBytes. The proposed deal would cover roughly 480,000 works and, after fees, pay about $3,000 per work, The Next Web reports. Class counsel told the court that claim filings covered over 92% of eligible works, per a claims report filed in April cited at the hearing (The Next Web, NewsBytes). A group of more than 25 authors who opted out filed a separate suit, Law.com reports. Editorial analysis: This pause keeps open a major test case over use of copyrighted books in LLM training and the fairness of large, classwide settlements.
What happened
A federal judge in San Francisco, U.S. District Judge Araceli Martínez-Olguín, declined on May 14 to give final approval to a proposed $1.5 billion settlement between Anthropic and a class of authors, asking for more detailed disclosures on how the fund would be split and on counsel fee requests, according to reporting by The Next Web and NewsBytes. The settlement would cover roughly 480,000 works and, after fees, pay around $3,000 per work, per The Next Web. Class counsel told the court that claims filings covered more than 92% of eligible works, citing a claims report filed in April and an update at the hearing (The Next Web, NewsBytes). The court asked for additional detail on a revised counsel fee request reduced from 15% to 12.5%, approximately $3 million in expenses, an $18.22 million cost reserve, and $50,000 service awards for each of the three lead plaintiffs, per The Next Web.
Technical details
Per court filings and reporting, the underlying litigation alleges Anthropic downloaded more than seven million books from shadow libraries including LibGen and Pirate Library Mirror to train the Claude family of models; former Judge William Alsup earlier found that training on legitimately acquired books was fair use but that retaining a central repository of pirated works raised separate infringement issues (The Next Web, NewsBytes, Mezha). Law360 reported counsel defending the fee request argued the settlement was the "creation of class counsel," a characterization used in oral argument (Law360).
Industry context
Editorial analysis: This proceeding is one of the highest-profile U.S. copyright matters tied to large language model training data and, if approved as written, would be the largest known U.S. copyright settlement. Comparable high-value class settlements typically attract close judicial scrutiny over notice effectiveness, claims rates, and the share of the fund that goes to counsel versus class members; the objections reported here-complaints about insufficient relief, alleged notice gaps for non-English speakers, and allocation rules for group copyright registrations-mirror recurring pain points in mass class settlements (The Next Web, NewsBytes, Law.com).
Context and significance
Editorial analysis: For practitioners, the case matters because judicial handling of fee allocations, notice adequacy, and claim-administration mechanics can set procedural and practical precedents for how copyright holders and AI developers resolve training-data disputes. Separate reporting shows a contingent of authors, including novelist Dave Eggers and others, opted out and filed a new suit challenging Anthropic, underscoring that parallel litigation could continue even if a class settlement moves forward (Law.com). Observed patterns in similar cases suggest that judges will demand clear, itemized disclosures before approving any settlement that resolves large numbers of individual copyright claims.
What to watch
Editorial analysis: Observers should track the court-ordered supplemental disclosures on fee calculations and service awards; the judge's eventual written order will indicate whether the court views the notice program and the allocation rules as adequate. Also watch the separate opt-out suits for distinct legal theories or requests for jury trials that could produce precedential damage rulings. Finally, monitor whether the parties revise the settlement mechanics in response to objections from authors who say the notice was late or not provided in Spanish, as reported (The Next Web, NewsBytes, Law.com).
Scoring Rationale
This is a high-profile legal test around copyrighted books used to train LLMs; judicial review of fee splits and notice could shape settlement norms and practitioner risk calculations.
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