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Six authors who rejected the Anthropic book-piracy settlement are suing six AI firms at once, testing what a payout was meant to close off.
The Bartz v. Anthropic settlement was supposed to be the moment the generative AI industry’s biggest copyright exposure got priced and closed. Instead, six authors have just shown how easily that containment can be reopened.
The case began when a group of writers, including Andrea Bartz, Charles Graeber and Kirk Wallace Johnson, sued Anthropic over training data pulled from pirated book libraries. A federal judge drew a sharp line: training on legally acquired books counted as fair use, but training on books lifted wholesale from piracy sites such as LibGen did not. That distinction produced a $1.5 billion settlement and a certified class of rightsholders — a mechanism designed to resolve the piracy claim once, at scale, and move on.
Six authors, including Pulitzer winner John Carreyrou, declined the deal. Rather than accept the class payout, they filed individual copyright suits in the Northern District of California, arguing their books were taken from pirate libraries including LibGen, Z-Library and OceanofPDF to train Anthropic, OpenAI, Google, Meta, xAI and Perplexity’s models. The suits invoke statutory damages of up to $150,000 per title, per defendant, a figure that scales brutally once multiplied across a catalogue of books and a list of six well-capitalised targets. Not every defendant accepts the premise: Perplexity has denied that it indexes books at all, and xAI’s response to the suit was to dismiss it, in an email to Bloomberg, as “Legacy Media Lies.”
A settlement built to close one company’s liability has instead become the template for suing five others with the same complaint.
What makes the move notable is not the amount claimed but the logic behind it. A class settlement only binds those who stay in it; anyone willing to litigate alone keeps the option of a jury and statutory damages that dwarf a negotiated per-book rate. If even a small fraction of authors follow the same path against each of the AI labs now facing near-identical piracy allegations, the industry’s carefully bounded settlement strategy starts to look less like an ending and more like a floor price that some plaintiffs simply refuse to accept.
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