TL;DR: On September 1, 2026, the DOJ filed a Statement of Interest in In re OpenAI, Inc. Copyright Infringement Litigation (S.D.N.Y.) arguing AI training on copyrighted text is generally fair use. First-ever federal government position in AI copyright training litigation. It does not cover output reproduction claims, does not bind courts, and does not replace your indemnification clause. Four contract clauses need review before your next renewal.
On September 1, 2026, the U.S. Department of Justice filed a Statement of Interest of the United States in the consolidated copyright litigation against OpenAI pending in the Southern District of New York. The document takes a clear position: copying copyrighted written works for the purpose of training large language models should generally be treated as fair use under U.S. copyright law.
It is the first time the federal government has formally taken a side in AI copyright training litigation.
The DOJ's reasoning rests on three arguments. First, AI training is "highly transformative" -- the model learns statistical patterns from text rather than reproducing or substituting for the original work. Second, the government links the question to scientific progress and national competitiveness, treating LLM development as analogous to research uses historically protected by fair use doctrine. Third, the brief characterizes AI training as a systemic capability question, not a file-by-file reproduction question.
What this brief is and is not
A Statement of Interest is not an amicus curiae brief -- it is a more formal government filing, typically used when the United States has a direct interest in the legal outcome. It carries significant persuasive weight with courts, particularly when the government frames the issue as touching on national security and economic competitiveness.
It is not binding. The district court can reject the DOJ's reasoning. Other courts in other circuits are not bound by it. And the brief itself acknowledges that output reproduction claims -- where a deployed model reproduces copyrighted text verbatim in its responses -- are a separate legal question that the brief does not address.
The conflict of interest question also surfaced quickly. Above the Law reported that the DOJ filed the brief while simultaneously negotiating a potential equity stake in OpenAI as part of a broader government-tech partnership arrangement. The DOJ did not disclose this negotiation in its filing, which drew immediate criticism from both legal commentators and plaintiff advocacy groups.
What happened in the same week
The DOJ brief landed on September 1. Three days later, on September 4, the Seattle Times and Newsday filed a new federal copyright and trademark complaint against OpenAI and Microsoft in the same Southern District of New York court. The suit alleges that both companies scraped content from behind paywalls, incorporated it into AI training datasets, and that the deployed models reproduce this journalism without compensation. Damages claimed include the destruction of all training sets that used the plaintiffs' published work.
This is not an isolated filing. Approximately 400 newspaper publishers have collectively joined the wave of litigation against OpenAI and Microsoft. The number of active copyright cases against AI companies has grown substantially through 2026.
The DOJ brief did not slow the filing pace. On the contrary, the plaintiffs' bar treats a government-backed fair use argument as a signal that legislative relief is unlikely, which creates additional pressure to establish precedent through the courts.
The four questions to bring to your vendor
If you are an enterprise buyer using AI tools that include content from third-party training data, the DOJ brief changes your legal landscape in one direction -- it strengthens the argument that your vendor's training process was lawful -- but leaves three other dimensions of risk untouched. Here are the four contract review points that matter:
1. Does your indemnification clause cover training data claims or only output claims?
Most AI vendor indemnification clauses are written in one of two forms: they cover third-party IP claims arising from the model's outputs (what the model says to your users), or they cover the use of your own data in training (what you gave the vendor). Few cover third-party copyright claims arising from the vendor's training data choices. The DOJ brief makes the training argument stronger, but if your vendor's clause does not cover training data claims at all, the brief does not fill that gap for you.
Ask your vendor explicitly: does the indemnification cover claims that the training data used to build this model infringed third-party copyrights? If yes, get a copy of the relevant insurance policy.
2. Does your clause address output reproduction specifically?
The DOJ brief argues training is fair use. It explicitly does not address what happens when a deployed model reproduces copyrighted text verbatim in its outputs. The New York Times case includes direct infringement claims on this basis, and those claims survived the motion practice that trimmed other theories. Output reproduction is currently the strongest and most active theory in AI copyright litigation.
If your AI vendor's indemnification clause covers "IP claims arising from use of the service" without distinguishing training from output, you may have coverage. If the clause only covers your use of your own data, you likely do not. Get clarity now, before a claim arrives.
3. What jurisdiction does your choice-of-law clause specify?
The DOJ brief covers U.S. federal copyright law. It has no effect on copyright law in the European Union, the United Kingdom, or Australia. Each of these jurisdictions applies a different standard for whether AI training qualifies as a permitted exception to copyright. The EU has a specific text and data mining exception under the Copyright Directive, with different conditions and opt-out mechanisms than U.S. fair use. If your vendor serves users in those markets, or if your contract specifies a non-U.S. governing law, the September 1 brief does not help you there.
4. What happens to your contract if the fair use argument fails?
The DOJ brief is persuasive but not controlling. If a district court rejects the fair use reasoning -- or if an appeals court reverses -- vendor contracts that were written assuming the training data legal question was settled face a very different environment. Your contract should address what happens to your license and any pending claims if the vendor's core IP defense fails in court. Most standard vendor agreements do not address this scenario.
What the NYT case looks like now
Understanding where the litigation stands helps contextualize the DOJ brief. The New York Times amended its complaint on June 25, 2026, dropping its contributory infringement claim against OpenAI after the Supreme Court's decision in Cox Communications, Inc. changed the standard. The Times also dropped its trademark claims. It is now pursuing a secondary liability theory against Microsoft, arguing that Microsoft's computing infrastructure made OpenAI's training possible and that Microsoft knew the training data was unauthorized.
On August 6, 2026, the court denied the Times' motion for leave to add back a revised contributory infringement claim -- the August 6 ruling closed that avenue.
The active claims remaining: direct infringement against OpenAI and Microsoft on output reproduction, and secondary liability against Microsoft for infrastructure support. The training fair use question -- which the DOJ brief addresses -- is live in the case but is not the only question.
The practical position for compliance teams
The DOJ's September 1 filing is the best news AI companies and enterprise buyers have received in AI copyright litigation. It is also not a resolution.
For compliance teams, the right response is specific and narrow:
Review your vendor contracts on the four points above. Do not cancel your indemnification review on the assumption that the DOJ brief has resolved the question. The brief strengthens one argument (training data); it leaves output reproduction, cross-border jurisdiction, and appellate uncertainty unchanged.
The litigation environment is also not quieter after the brief -- the Seattle Times and Newsday filed a new suit the same week. Courts in the Southern District of New York will be ruling on the fair use question in a context that includes a stack of active publisher cases, a government brief in favor of the defendant, and a conflict-of-interest question hanging over that brief.
For related reading on managing vendor copyright exposure and AI output risk, see the AI output copyright risk guide, the AI vendor contract red flags guide, and the Anthropic Bartz copyright settlement analysis.
Related Reading
- AI output copyright risk: commercial use guide 2026
- AI vendor contract red flags: what to catch before signing
- Agentic AI vendor contract clauses: what to add in 2026
- Anthropic Bartz copyright settlement: training data analysis
- Generative AI copyright ownership: who owns the output?
- AI governance for legal teams and general counsel
- FTC AI enforcement actions 2026
- California 2026 AI bills: Newsom September deadline tracker
