A coalition of major publishers—Elsevier, Cengage, Hachette, Macmillan, and McGraw Hill—along with author Scott Turow, filed a class-action in a Manhattan federal court accusing Meta Platforms of using millions of copyrighted works to train its AI models, including Llama, without permission.

The suit argues that Meta’s training on copyrighted material harms authors and licensing markets, asserting that the company’s approach could substitute for works and undermine the value of licensing deals.

Meta has signaled it will vigorously defend the claims, contending that training AI on copyrighted content can be fair use and highlighting the broader benefits of AI for innovation and productivity.

The report carries a paywall prompt and a subscription pitch for The Bookseller, indicating the publication’s business model rather than core case details.

The article attributes information to outlets such as DIE ZEIT, AP, and Reuters and notes ongoing updates as new details emerge.

Additional context would be required from the full article to outline concrete facts, timelines, arguments, and potential implications of the lawsuit.

The piece notes that the article was generated with AI and edited by a human, with undisclosed details about damages.

Experts anticipate an 18 to 24 month procedural timeline for class certification, motions, and potential appeals, with court outcomes shaping licensing and fair-use standards for AI training.

A portion of the piece consists of sponsor posts, blog links, and podcast descriptions not directly related to the lawsuit.

MLex promotes its regulatory intelligence services, offering newsletters and predictive analysis as part of its broader offerings.

Coverage from Reuters and PYMNTS flags ongoing debates about sustainable and adequate compensation models for AI training on copyrighted content.

The lawsuit seeks unspecified damages and a jury trial, with references to the broader aim of representing a larger group of authors.