Judge Delays Anthropic’s $1.5 Billion Copyright Settlement Over $320 Million Fee Challenge
Updated
Updated · Ars Technica · May 15
Judge Delays Anthropic’s $1.5 Billion Copyright Settlement Over $320 Million Fee Challenge
3 articles · Updated · Ars Technica · May 15
$1.5 billion in proposed payments to authors over Anthropic’s use of pirated books to train AI lost final approval after Judge Araceli Martinez-Olguin said objectors’ concerns needed closer review.
More than $320 million in requested legal fees drove much of the pushback, with some class members arguing lawyers would collect about $10,000 to $12,000 per hour while individual authors receive only about $3,000.
Objectors also said the fee request was improperly tied to the full settlement fund even though many eligible authors have not registered and may never be paid from it.
The delay interrupts what has been described as the largest copyright settlement in U.S. history and forces the authors’ legal team to answer complaints that class members were being sidelined.
Are lawyers taking millions from a $1.5B AI settlement while the authors who fueled the technology get only thousands?
As a landmark copyright settlement falters, will courtrooms, not code, decide the future of artificial intelligence?
If training AI on pirated books costs $1.5 billion, what is the true price of the entire AI revolution?
Judge Delays $1.5 Billion Anthropic AI Copyright Settlement: Implications for Authors, Industry, and Future Lawsuits
Overview
A federal judge has delayed final approval of Anthropic’s $1.5 billion copyright settlement, highlighting a standoff driven by strong objections from authors. Many argue the settlement amount is too low, attorneys are overcompensated, and some copyright owners are unfairly excluded. The judge is seeking more clarification on these issues, especially as some, like James R. Sills, demand Anthropic destroy all copies of their works due to unclear acquisition methods. This pause extends legal uncertainty and underscores the complex challenges in fairly resolving large-scale copyright disputes in the AI era.