The Chicago Tribune has stepped into the center of a high-stakes legal dust-up, joining a coalition of U.S. news organizations that is asking a Manhattan federal judge to sanction OpenAI. The group alleges the company destroyed and swapped out millions of ChatGPT conversation logs that lawyers say the court had ordered produced. According to the filings, the deletions and sweeping redactions have stripped plaintiffs of evidence they say is crucial to showing whether the chatbot spits back or warps copyrighted reporting. The escalating fight is quickly becoming a test case on how judges balance user privacy with the need for hard evidence in major copyright battles.
According to the Chicago Tribune, lawyers for the news plaintiffs, which include the New York Daily News, The New York Times, and the Tribune, have asked the court to hold OpenAI in contempt and to set an evidentiary hearing. The motion claims OpenAI replaced some of the specific logs that had been requested and turned over documents so heavily blacked out that the newsrooms say they cannot properly test the companies' defenses.
Reporting by Ars Technica details plaintiffs' claims that OpenAI allowed millions of output logs to be deleted, substituted at least a million requested entries with different conversations, and applied massive numbers of redactions to the files it did produce. Plaintiffs also say that technical steps, such as hashing altered identifier numbers on a 20-million-log sample, which they argue makes it tougher to track specific conversations through the system.
Who Joined The Push And What Is At Stake
Court dockets and filings show the lawsuit ropes in a broad slice of the media and creative worlds, with allied plaintiffs that include the Authors Guild and several bestselling writers, according to Justia. The news organizations argue that access to raw output logs is central to proving when ChatGPT responses reproduce their reporting or otherwise compete with original coverage. What started as a fight over a chatbot is now a proxy war over discovery rules for AI companies and whether deleted chats from everyday users can be dragged back into the light in future cases.
OpenAI's Response
OpenAI has pushed back in court and in public. In comments reported to Reuters, the company pointed to earlier blog posts from its security team and insisted it has not held back material the court ordered it to produce, while warning that broad retention and disclosure of logs raise serious privacy and operational concerns. OpenAI has appealed parts of the discovery orders and is continuing to press the judge to strike a balance between protecting user privacy and giving plaintiffs the evidence they are demanding.
Legal Implications
Lawyers for the news outlets have asked the court to weigh sanctions that could include fines, limits on what evidence OpenAI can present, or an adverse-inference instruction if the judge finds that spoliation occurred. Courts have a full toolkit for dealing with destroyed or altered evidence, and the plaintiffs argue those tools are needed here because alleged deletions and substitutions are blocking their discovery efforts. However the judge rules, the decisions in this case are poised to send a signal to AI companies about how carefully they must preserve and disclose internal logs in the next wave of litigation.
What To Watch Next
The plaintiffs are also pressing the court to lean on Microsoft for Copilot logs in a searchable format and have proposed an immediate deadline for turning them over, with reporting flagging a proposed January 9 target for those records. A January 5 order by U.S. District Judge Sidney H. Stein upheld Magistrate Judge Ona T. Wang's earlier decision that OpenAI must produce a 20-million-entry de-identified log sample, a stance that could speed up discovery rulings in the coming weeks, including possible hearings on sanctions or attempts to restore deleted material, according to court records at Justia. For Chicago readers, the Tribune's role in the latest filing means a hometown newsroom is now front and center in a case that could reshape how AI companies use and disclose news content.
