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Anthropic Settling AI Class Action

Of all the many pending lawsuits about AI and copyright, the Anthropic class action has been blazing trails in the US courts. The case is still not precisely over, but apparently heading toward settlement.

Update as of 9/5/25: Under the proposed settlement, Anthropic will pay about $3,000 for each of about 500,000 books used from pirate sites, for a total of at least $1.5 billion. “All works in the Class are treated the same in this settlement, entitled to the same pro-rata amount of the Settlement Fund, reflective of the per-work statutory damages remedy authorized by the Copyright Act itself. The allocation for each Class Work will be calculated by dividing the total amount of the Settlement Fund (less fees and expenses) by the total number of Class Works.”

And in case you were wondering, this summary was done almost entirely with Claude, Anthropic’s LLM, with minimal editing. So…

Background

Case: Bartz v. Anthropic PBC, Case No. 3:24-cv-05417 (N.D. Cal.)

Court Docket: CourtListener.com

Plaintiffs: Three named plaintiffs – Andrea Bartz, Charles Graeber, and Kirk Wallace Johnson – filed a class action lawsuit against Anthropic.

The Training: Anthropic downloaded over seven million books from pirate sites and digitized millions of purchased print books to build a “central library of “all the books in the world'” to support the training of its large language models. Specifically:

Legal Claims

The plaintiffs claimed Anthropic infringed their copyrights by (1) pirating copies of their works for Anthropic’s library and (2) reproducing their works to train Anthropic’s LLMs. The authors argued that use of their books to train Anthropic’s LLMs could result in the production of works that compete and displace demand for their books and that Anthropic’s unauthorized use has the potential to displace an emerging market for licensing the plaintiffs’ works for the purpose of training LLMs.

Procedural Facts

The June 23 Summary Judgment Order:

Granted Summary Judgment (Fair Use Found):

Denied Summary Judgment (Not Fair Use):

Fair Use Analysis

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