TechNet and Others File Amicus Brief in Anthropic Copyright Case

August 11, 2025
TechNet, along with several industry groups, has filed an amicus brief in the Bartz v. Anthropic case, arguing against class certification of copyright claims that could impact AI development.

In a recent legal development, TechNet, a network of technology CEOs and senior executives, has filed an amicus brief in the U.S. Court of Appeals for the Ninth Circuit concerning the Bartz v. Anthropic case. This case addresses the application of copyright law to artificial intelligence training and model development.

TechNet, joined by other industry groups such as AI Progress and the Consumer Technology Association, argues that the class certification of copyright claims could deprive AI companies of the opportunity to defend their actions. They assert that this could chill investment in American AI companies and harm the country's technological competitiveness.

The brief contends that the district court's class action order is overly permissive and could lead to widespread class action abuse against tech innovators in AI. TechNet's General Counsel, Drew Hudson, emphasized that if the ruling is not addressed, it could have a chilling effect on AI investment and negatively impact the U.S. economy and global technology leadership.

We hope you enjoyed this article.

Consider subscribing to one of our newsletters like AI Policy Brief or Daily AI Brief.

Also, consider following us on social media:

Subscribe to AI Policy Brief

Weekly report on AI regulations, safety standards, government policies, and compliance requirements worldwide.

Whitepaper

Stanford HAI’s 2025 AI Index Reveals Record Growth in AI Capabilities, Investment, and Regulation

The 2025 AI Index by Stanford HAI provides a comprehensive overview of the global state of artificial intelligence, highlighting significant advancements in AI capabilities, investment, and regulation. The report details improvements in AI performance, increased adoption in various sectors, and the growing global optimism towards AI, despite ongoing challenges in reasoning and trust. It serves as a critical resource for policymakers, researchers, and industry leaders to understand AI's rapid evolution and its implications.

Read more