The U.S. Department of Justice has formally intervened in the landmark legal battle over AI and copyright, filing a court brief that strongly supports OpenAI's position. In a "statement of interest" filed on September 1, 2026, the Trump administration argued that training large language models on copyrighted works constitutes fair use under copyright law, as reported by TechCrunch.
The brief was filed in the consolidated multi-district litigation In re OpenAI, Inc. Copyright Infringement Litigation, which is pending before Judge Sidney H. Stein in the Southern District of New York. This litigation encompasses not only The New York Times' high-profile suit against OpenAI and Microsoft from December 2023 but also every other publisher and author lawsuit consolidated under the same procedural umbrella.
The DOJ's filing asserts that the U.S. "has a strong interest in continuing to develop a robust and competitive artificial intelligence industry that sets the standard for the practice and procedure of AI use globally." It warns that a ruling against OpenAI would "severely hamper" the goals of President Donald Trump's January 2025 executive order, which seeks to sustain U.S. dominance in AI for economic competitiveness and national security.
Central to the government's argument is the principle of fair use, a legal doctrine that permits limited use of copyrighted material without permission for purposes such as criticism, comment, news reporting, teaching, scholarship, or research. The DOJ contends that the ingestion and analysis of text for AI training is a transformative use that falls under this protection. The brief effectively tells creators and publishers that if they seek compensation for their work being used in AI training, their path is through Congress or private licensing negotiations, not through the courts.
This move by the Trump administration marks a significant escalation of the executive branch's involvement in defining the legal boundaries of artificial intelligence. It positions the government as an active participant in shaping the outcome of what is widely seen as the most consequential copyright fight in AI history. The filing creates a direct link between national policy—aimed at maintaining a lead over China and other competitors in the AI race—and the technical, legal question of how models are trained.
The background of this litigation traces back to late 2023, when The New York Times sued OpenAI and Microsoft, alleging "wide-scale copying" of its copyrighted journalism to train AI models like ChatGPT. That case became a bellwether, with numerous other authors, artists, and media organizations filing similar suits alleging that the foundational practice of scraping the public internet for training data constitutes mass copyright infringement. The consolidation of these cases into a single multi-district litigation (MDL) underscored their shared legal questions and high stakes for the entire industry.
The government's intervention signals a clear policy preference for innovation and industry growth over the immediate copyright claims of content creators. It reflects a view that the societal and strategic benefits of advanced AI development outweigh the potential harms claimed by rights holders in this specific context. This stance aligns with the aggressive deregulatory and pro-innovation posture that has characterized the Trump administration's approach to technology policy.
For OpenAI and other AI companies, the DOJ's support provides powerful legal and political ammunition. It introduces a weighty, non-party voice into the courtroom arguing that a ruling against current training practices would stifle American innovation. Conversely, for media companies, authors, and artists, the brief represents a major setback, suggesting that the executive branch is unwilling to support their claims for statutory protection or judicial remedy, instead pushing them toward a legislative solution that is often slow and uncertain.
The filing also highlights the tension between rapidly evolving technology and a legal system struggling to keep pace. Copyright law, particularly the fair use doctrine, was developed long before the advent of large-scale machine learning. Courts are now tasked with applying decades-old precedents to a technology that operates by statistically analyzing millions of documents—a process that critics call theft and proponents call reading. The DOJ's brief is an attempt to steer that judicial interpretation in a direction favorable to the AI industry.
The outcome of this litigation will have profound implications. A ruling embracing the government's fair use argument would effectively greenlight the current data-scraping practices of AI firms, solidifying their legal footing and potentially accelerating model development. A ruling against it could force a fundamental and costly restructuring of how AI companies gather training data, potentially requiring widespread licensing agreements and altering the economics of the field. With the U.S. government now officially taking a side, the legal and political battle over the future of AI has entered a new, more consequential phase.
