OpenAI Hid Records in NYT Lawsuit: Risk of Severe Sanctions

What Happened?

On July 9, 2026, the plaintiff media outlets led by The New York Times filed a motion for sanctions against OpenAI in the U.S. District Court for the Southern District of New York. They accuse the company of lying for years about its technical inability to search ChatGPT's training logs, while allegedly deliberately hiding "billions" of logs containing evidence that users bypassed paywalls and reproduced full articles.

According to the motion, OpenAI initially argued it could not search training data without violating user privacy. However, plaintiffs discovered the company did have the technical capability and had selectively deleted or retained records to prevent incriminating evidence from being found. The motion cites internal emails and testimony indicating OpenAI engineers knew it was possible to search the logs, contradicting public statements. This case dates back to a lawsuit filed in December 2023, when the NYT accused OpenAI of using its articles without a license to train language models. Since then, the legal battle has intensified, with OpenAI arguing that using public data constitutes "fair use." However, the sanctions motion could drastically change the course of the case.

Historical context is relevant: in June 2025, OpenAI had already asked the court not to require preserving all ChatGPT logs, calling the order a "privacy nightmare" (Ars Technica). But plaintiffs now claim that stance was a delaying tactic. The 2026 motion details that OpenAI hid the existence of internal search tools, such as "LogSearch," which allowed querying training logs. This directly contradicts sworn statements the company submitted in 2024, where it claimed it could not perform such searches without violating privacy. Plaintiffs argue OpenAI deleted or selectively retained logs to eliminate evidence of infringement, constituting spoliation that warrants severe sanctions.

Why Is This Important?

This evidence is crucial for determining whether OpenAI's use of protected content constitutes direct infringement or qualifies as fair use. If OpenAI is proven to have knowingly hidden evidence, the court could impose severe sanctions, including the possibility of presuming infringement, which would severely weaken the company's defense. The fair use standard is based on four factors: the purpose of use, the nature of the work, the amount used, and the effect on the potential market. ChatGPT's reproduction of full articles could undermine the transformation argument and harm the market for publisher subscriptions.

The case sets a precedent for the entire generative AI industry. Other companies like Google (with Gemini), Meta (with Llama), and Anthropic (with Claude) face similar lawsuits from copyright holders. The outcome could define the legal limits of training on public data. For example, in Google v. Oracle (2021), the Supreme Court ruled in favor of fair use for APIs, but did not directly address mass scraping of protected content. In Europe, the 2019 Copyright Directive requires licenses for commercial text use, but in the U.S., the legal landscape remains uncertain. If the court rules against OpenAI, it could force the entire industry to renegotiate licenses with publishers, changing the business model of generative AI.

Moreover, the bad faith accusation has reputational implications. OpenAI has built its image around transparency and safety, but this case suggests otherwise. The company has already faced criticism over data handling, such as the 2023 incident where a bug exposed user conversations. If concealment is confirmed, public and investor trust could erode further.

Potential Consequences

• Procedural sanctions: The judge could order forced disclosure of hidden logs, or even issue a partial adverse ruling against OpenAI. Monetary fines or exclusion of certain defenses are also possible. In extreme cases, the court could issue an "adverse inference," assuming the hidden logs contained evidence of infringement, making it easier for plaintiffs to win the case.
• Reputational damage: The bad faith accusation erodes trust in OpenAI's transparency practices. Already in 2025, a report by The Verge revealed OpenAI had used subcontractors to label sensitive content without their consent. This new scandal could drive away business partners and talent.
• Impact on business model: If infringement is confirmed, OpenAI could face billions in damages and be forced to renegotiate licenses with publishers. Damage estimates could reach billions of dollars, considering the value of the articles used. Additionally, OpenAI might have to pay retroactive royalties, affecting profitability. The company has already spent over $10 billion on development, and severe sanctions could delay its anticipated IPO.
• Domino effect on the industry: An adverse ruling could lead other AI models (like Gemini or Claude) to also be considered infringers, forcing companies to change training practices. This could slow innovation and increase development costs, benefiting large tech companies with licensed content libraries, such as Microsoft.

What Should Readers Know?

OpenAI has denied the allegations and called the motion "baseless." However, documents submitted by the NYT show internal emails and testimony suggesting OpenAI engineers knew it was possible to search the logs, contradicting public statements. The motion includes an affidavit from a former employee who claims they were asked not to document the search capability. OpenAI, for its part, argues that searching logs would require accessing user data that would violate their privacy, but plaintiffs counter that it can be done anonymously.

The judge's decision is expected in the coming weeks. Meanwhile, OpenAI's stock and valuation could be affected if sanctions are severe. Recently, OpenAI completed a $6.6 billion funding round valuing the company at $150 billion, but investors like Microsoft and Khosla Ventures might reconsider their support if legal risk increases. Additionally, the case could accelerate AI regulation in the U.S., where Congress has been debating laws like the "AI Foundation Model Transparency Act."

For users, consequences could translate into changes in ChatGPT: if OpenAI loses, it might have to filter protected content, reducing response quality. Alternatively, it could implement stricter attribution systems. In any case, the outcome of this case will mark a milestone at the intersection of generative AI and copyright, with implications extending beyond U.S. borders, especially in the European Union, where the AI Act already requires transparency in training data.