US Government Backs OpenAI Fair Use: Implications for AI Training Data

Source news: "AI NEWS: U.S. government supports fair use determination in OpenAI copyright litigation (Sep 2, 2026)" (VitalLaw.com) · Search original The following is original commentary written by AI based on facts verified from 2 real news reports (not a translation or copy of the original). See sources at the end.

The U.S. Department of Justice has intervened in the ongoing copyright litigation between The New York Times and OpenAI, arguing that training large language models constitutes a highly transformative fair use. This federal position, which links AI development to national security and economic competitiveness, raises critical questions for legal teams about whether such government support creates a de facto safe harbor for AI training data or merely signals a broader enforcement strategy. While the opinion does not bind the court or settle the specific claims of unauthorized use, it significantly alters the legal landscape for intellectual property disputes involving artificial intelligence.

Why This Intervention Matters Now

A Strategic Pivot in Federal IP Policy

The U.S. Department of Justice’s intervention in the ongoing copyright litigation against OpenAI marks a significant departure from traditional federal stances on intellectual property. By filing an amicus brief on September 1, 2026, in the U.S. District Court for the Southern District of New York, the government has explicitly aligned itself with the defendant’s position in a high-profile case that has been closely watched by the tech industry. This move signals that Washington is now viewing the development of artificial intelligence not merely as a commercial dispute, but as a matter of national strategic interest. The brief argues that training large language models constitutes a "highly transformative use" under copyright law, a legal characterization that could fundamentally reshape how courts evaluate AI training data.

The timing of this filing underscores the urgency with which federal policymakers are approaching the AI landscape. The DOJ’s submission emphasizes that the advancement of AI technology is directly linked to scientific progress, national security, and the United States’ economic competitiveness. By supporting OpenAI’s fair use defense, the government is effectively signaling that it views the ability to train on vast datasets as critical to maintaining America’s technological edge. This is particularly notable given the origins of the lawsuit, which was filed by The New York Times in 2023, alleging that millions of its articles were used without permission to train OpenAI and Microsoft’s models. The government’s entry into the fray suggests that the legal boundaries of AI development are now being influenced by broader geopolitical and economic considerations, rather than just copyright doctrine.

It is important to note, however, that this amicus brief does not bind the judge or determine the final outcome of the case. The government’s position serves as a persuasive argument rather than a legal mandate, meaning that the specific question of whether individual training data or outputs infringe on copyrights remains subject to judicial determination. The New York Times has already pushed back against this federal stance, arguing that the unauthorized use of its reporting remains a core legal dispute that is still very much active. Consequently, while the DOJ’s brief adds significant weight to OpenAI’s arguments, it does not resolve the underlying conflict, leaving the legal landscape in a state of heightened uncertainty as the court weighs these competing national and private interests.

The Core Legal Argument: Highly Transformative Use

In its September 1, 2026, opinion filed with the U.S. District Court for the Southern District of New York, the Department of Justice contends that training large language models constitutes a "highly transformative" use under copyright law. The government’s position distinguishes this process from mere reproduction, arguing that the act of training an AI model fundamentally alters the nature and purpose of the original works. By transforming source material into a new technological tool capable of generating novel outputs, the government asserts that the use serves a distinct function that goes beyond simply copying the original content.

This legal framing is central to the administration's support for OpenAI in the ongoing litigation against The New York Times. The opinion emphasizes that such transformative use is essential for scientific progress and aligns with the core objectives of copyright law to promote innovation. While The New York Times maintains that the unauthorized use of millions of its articles for training purposes remains a copyright infringement, the government argues that the transformative nature of the training process weighs heavily in favor of a fair use determination.

Transformative Distinction: The government argues that AI training is not a substitute for the original work but a distinct, transformative process.
Legal Basis: The position relies on the "highly transformative" prong of the fair use doctrine to support OpenAI’s defense.
Non-Binding Nature: The opinion does not bind the judge or settle the case, leaving the final determination of copyright infringement to the court.
Ongoing Dispute: The New York Times continues to challenge the legality of using its reporting for AI training, highlighting the unresolved tension between publisher rights and AI development.

National Security and Economic Competitiveness

In its September 1, 2026, opinion filed with the U.S. District Court for the Southern District of New York, the Department of Justice explicitly linked the advancement of artificial intelligence to broader national interests. The government’s brief argues that AI development is intrinsically connected to scientific progress, national security, and the United States’ economic competitiveness. By framing the litigation through this strategic lens, the administration suggests that rigid copyright enforcement could inadvertently hinder the rapid innovation required to maintain U.S. leadership in the global tech sector. This perspective positions the ability to train large language models on vast datasets not merely as a commercial activity, but as a critical component of the nation’s long-term strategic posture.

The brief supports OpenAI’s position by characterizing the training of large language models as a "highly transformative use" of copyrighted works. This argument implies that the creation of new AI capabilities serves a public interest that outweighs the potential economic harm to content creators in the context of national security. However, it is important to note that this government intervention does not settle the legal outcome of the case nor does it bind the judge’s final decision. The specific question of whether the unauthorized use of millions of articles, as alleged by The New York Times in its 2023 lawsuit against OpenAI and Microsoft, constitutes fair use remains a matter for the court to determine on a case-by-case basis.

The DOJ brief connects AI development to national security and economic competitiveness.
The government frames strict copyright enforcement as a potential barrier to U.S. technological leadership.
The intervention supports the view that LLM training is a highly transformative use of data.
The brief does not legally bind the court or guarantee a final ruling in favor of OpenAI.

Limitations of the Government's Position

The DOJ's Support Does Not Bind the Court

While the U.S. Department of Justice’s intervention signals strong federal backing for the concept of fair use in AI training, this position does not legally compel the judge to rule in OpenAI’s favor. The government’s brief is an amicus curiae submission, meaning it serves as persuasive authority rather than a binding precedent or a statutory mandate. Consequently, the court retains full discretion to evaluate the specific facts of the case independently of the government’s broader policy arguments. The DOJ’s stance highlights the potential for "highly transformative" use in large language model development, but it does not automatically resolve the complex legal questions surrounding the specific datasets at issue.

Furthermore, this federal support does not create a blanket safe harbor for all AI training activities. The brief acknowledges that the determination of copyright infringement must still be made on a case-by-case basis, particularly regarding the specific data inputs and the nature of the model’s outputs. The New York Times, which originally filed the lawsuit in 2023 alleging that millions of its articles were used without permission, has pushed back against the government’s position. The publisher maintains that the unauthorized use of its reporting remains a central point of contention, emphasizing that the legal dispute over the permissibility of such data usage is still very much alive.

Key distinctions to note regarding the limitations of the DOJ's position include:

Non-Binding Nature: The government's opinion does not dictate the outcome of the trial or bind the judicial decision.
No Universal Safe Harbor: The support does not exempt all AI developers from liability for every type of training data.
Case-Specific Analysis: Issues regarding specific copyrighted works and generated outputs remain subject to individual judicial review.
Ongoing Litigation: The New York Times continues to challenge the legality of the data usage, keeping the core dispute active.

Publisher Pushback and Ongoing Disputes

The New York Times' Continued Legal Challenge

The New York Times, which initiated the litigation in 2023 by alleging that millions of its articles were used without authorization to train OpenAI and Microsoft models, has explicitly rejected the U.S. government’s recent intervention. In response to the Department of Justice’s opinion filed on September 1, 2026, the publisher maintained that the legal dispute regarding the unauthorized use of its news content remains active and unresolved. The Times argued that the government’s stance does not settle the core question of whether the mass ingestion of copyrighted journalism for machine learning constitutes a permissible act under existing copyright law.

While the federal government characterized the training of large language models as a "highly transformative" use that aligns with scientific progress and national security interests, the publisher contends that this characterization does not override the rights of content creators. The New York Times emphasized that the government’s brief does not bind the court or dictate the outcome of the case, leaving the specific legality of using their proprietary data subject to judicial review. Consequently, the publisher is likely to continue arguing that the distinction between transformative use and direct infringement is critical, particularly when the output of the AI models closely mirrors the original journalistic works.

Unresolved Status: The New York Times asserts that the legal battle is far from over despite the government's support for OpenAI.
Core Dispute: The central conflict remains whether the unauthorized use of millions of articles for training data is legally defensible.
Judicial Independence: The government’s position does not determine the final verdict, as the court retains the authority to rule on individual instances of infringement.
Publisher Stance: The Times continues to challenge the legality of the data usage, rejecting the notion that the government's opinion settles the matter.

Practical Impact on Corporate AI Strategies

Reassessing Data Sourcing Risks

Legal teams should immediately review their AI data sourcing strategies, as the U.S. Department of Justice’s recent intervention signals a potential shift in how courts view the training of large language models. By characterizing this process as "highly transformative" in its September 1, 2026, opinion letter to the U.S. District Court for the Southern District of New York, the government has provided a strong argument that such use may qualify for fair use protection. This stance, which links AI development to scientific progress and national economic competitiveness, suggests that future rulings could be more favorable to developers who utilize broad datasets for model training. However, this does not create a blanket immunity; the government explicitly noted that its position does not bind the judge or settle the specific facts of the case.

Despite the supportive tone of the federal opinion, liability for unauthorized training data remains a significant legal exposure. The New York Times, which initiated litigation in 2023 alleging that millions of articles were used without permission, continues to argue that the unauthorized use of its reporting is not automatically legal. Consequently, corporate compliance programs cannot assume that the government’s backing eliminates all copyright risks. Instead, legal departments must distinguish between the general principle of transformative use and the specific circumstances of their data acquisition, recognizing that individual instances of infringement regarding specific outputs or datasets are still subject to judicial scrutiny.

Key considerations for corporate AI strategies include:

No Automatic Immunity: The government’s opinion does not guarantee a win in ongoing or future lawsuits; each case will still be evaluated on its own merits by the court.
Continued Disputes: Major publishers like the New York Times are actively challenging the legality of unauthorized data usage, indicating that litigation risks persist.
Fact-Specific Analysis: Legal teams must assess whether their specific data sourcing practices align with the "highly transformative" standard, rather than relying solely on the government’s general support.
Ongoing Monitoring: Companies should monitor how courts interpret the DOJ’s arguments in the current OpenAI litigation, as these decisions will set precedents for the broader industry.

What to Check in Your AI Compliance Program

In light of the U.S. Department of Justice’s intervention in the OpenAI copyright litigation, organizations should immediately audit their existing data governance structures to ensure alignment with the government’s emphasis on "highly transformative use." While the September 1, 2026, opinion letter supports the argument that large language model training may constitute fair use, it does not establish a blanket immunity for all data practices. Consequently, compliance teams must review current licensing agreements to identify gaps where data was acquired without explicit permission, particularly focusing on sources like the millions of articles cited in the New York Times’ 2023 lawsuit. It is critical to distinguish between data that was lawfully licensed and data that was scraped or otherwise obtained without authorization, as the government’s position does not resolve the specific legal status of individual training datasets.

To mitigate ongoing legal risks, companies should strengthen their data provenance documentation and refine their risk assessment frameworks. Since the court retains the authority to determine the copyright infringement status of specific outputs and training materials, relying solely on the government’s broad policy stance is insufficient. Firms need to implement rigorous tracking mechanisms that document the origin of every data point used in model training, ensuring that provenance records are detailed enough to demonstrate lawful acquisition or fair use justification if challenged. This proactive approach allows legal teams to respond effectively to potential claims from publishers, who continue to dispute the legality of unauthorized use of their reporting, by having a clear and defensible record of data handling practices.

Key areas for immediate review include:

Licensing Agreements: Verify that all third-party content used for training is covered by valid licenses, identifying any datasets that fall outside existing contractual terms.
Data Provenance: Ensure comprehensive documentation exists for the source, acquisition method, and processing history of all training data to support fair use arguments.
Risk Assessment: Update internal risk models to reflect the evolving interpretation of transformative use, acknowledging that the government’s position does not guarantee a favorable outcome for specific data points.
Output Monitoring: Establish protocols for monitoring model outputs to detect and address potential copyright infringements, as these remain subject to judicial review.

Frequently Asked Questions

Did the US government's filing decide the OpenAI copyright case?

No, the government's opinion letter does not determine the outcome of the case or bind the judge's judgment. The court will still make the final decision on whether specific training data or outputs constitute copyright infringement.

What is the US government's argument regarding AI training and fair use?

The Department of Justice argued that training large language models may qualify as fair use under copyright law. They characterized this process as a highly transformative use that supports scientific progress and national security.

Why did the New York Times sue OpenAI and Microsoft?

The New York Times filed a lawsuit in 2023 alleging that millions of its articles were used without permission to train AI models. The publication continues to dispute the legality of using its news content for AI development.