A group of publishers including Elsevier, Cengage, Hachette, Macmillan, and McGraw Hill, joined author Scott Turow in a proposed class-action against Meta Platforms in Manhattan federal court, accusing Meta of pirating millions of copyrighted works to train its Llama AI model.

Meta defends its approach, arguing that training AI on copyrighted material can qualify as fair use and pledges a vigorous defense.

The lawsuit mirrors a broader wave of cases challenging whether AI systems can use copyrighted material for new, transformative content without permission.

Reportedly, the publication page hosting the article functions as an aggregation with sponsor posts and podcast recommendations, not a detailed narrative of the lawsuit.

A final approval hearing for the case is scheduled for next week.

The reporting cites sources such as The New York Times and The Verge and references an official plaintiffs’ document.

The litigation follows earlier tensions in the field and references settlements like Anthropic’s $1.5 billion payout to authors over related piracy concerns.

Context notes a 2025 Anthropic settlement involving authors, highlighting potential influence on how AI copyright litigation unfolds.

Anthropic’s substantial settlement is cited as a watershed development that could shape expectations in future cases.

Plaintiffs seek class-action status to represent a broad group of copyright owners and pursue unspecified damages, underscoring ongoing disputes over AI training and copyright liability.

The complaint also requests a full account of all copyrighted works used to train Llama models.

Turow and fellow publishers argue AI-generated outputs can threaten sales of human-authored works and imitate authors’ styles, amplifying authorial harm.