A federal judge has deferred the authors’ request to appeal a ruling that Meta Platforms Inc.’s use of their works to train its Llama large language model constitutes fair use. The decision aims to consolidate this issue with other related cases for a more comprehensive review.
In June 2025, U.S. District Judge Vince Chhabria granted summary judgment in favor of Meta, determining that the company’s use of copyrighted books for AI training was transformative and fell under the fair use doctrine. The authors, including Sarah Silverman and Ta-Nehisi Coates, had alleged that Meta infringed their copyrights by using their works without permission. Judge Chhabria noted that the authors failed to provide sufficient evidence of market harm resulting from Meta’s actions. ([techcrunch.com](https://techcrunch.com/2025/06/25/federal-judge-sides-with-meta-in-lawsuit-over-training-ai-models-on-copyrighted-books/?utm_source=openai))
Following this ruling, the authors sought to appeal the decision, arguing that the case raises significant and novel issues regarding the intersection of copyright law and AI development. They emphasized the potential implications for the intellectual property rights of countless creators. ([mediapost.com](https://www.mediapost.com/publications/article/415688/authors-seek-to-appeal-pro-meta-ruling-over-ai-tra.html?utm_source=openai))
Judge Chhabria’s recent decision to delay the appeal is intended to allow for a more organized and efficient judicial process by addressing similar cases collectively. This approach aims to provide a clearer legal framework for future disputes involving AI and copyright law.
The outcome of this case is poised to have significant ramifications for the tech industry and content creators alike, as it will influence how copyrighted materials can be utilized in the development of AI technologies.