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Anthropic Sued Over Book Scanning Project

Wednesday, August 5, 2026 · 2 sources

Anthropic, an AI company, is facing a lawsuit related to its book scanning project. The project, known as 'Project Panama', involves destructively scanning books to gather training data.

A court case in northern California has shed light on Anthropic's 'Project Panama', an effort to improve its large language model Claude. According to court documents, the project involves destructively scanning all the books in the world to gather training data. This approach was apparently taken to avoid dealing with copyright issues. The court exhibit reveals that the company used a codename for the project to keep it discreet, advising employees not to disclose their work on it.

The lawsuit, Bartz v Anthropic PBC, was decided in late July this year. Details of the case have raised questions about the company's methods for gathering training data.

Anthropic's actions have sparked interest in the way AI companies handle copyright and data collection. The case highlights the challenges companies face in balancing their need for data with the need to respect copyright laws.

Go Deeper

What is Project Panama?

Project Panama is Anthropic's effort to destructively scan all the books in the world to gather training data for its large language model Claude.

Why did Anthropic use a codename for the project?

The company used a codename to keep the project discreet and avoid disclosing their work on it, as revealed in the court exhibit.

What is the lawsuit about?

The lawsuit, Bartz v Anthropic PBC, is related to Anthropic's book scanning project and its approach to gathering training data.

How does the project affect copyright laws?

The project raises questions about how AI companies handle copyright and data collection, highlighting the challenges of balancing the need for data with the need to respect copyright laws.

What is the outcome of the lawsuit?

The lawsuit was decided in late July this year, but the specifics of the outcome are not detailed in the available information.