Nearly 400 local newspapers filed a federal copyright lawsuit against OpenAI and Microsoft on June 24, 2026, alleging that the technology companies systematically and secretly copied thousands of news articles to train their AI systems ChatGPT and Copilot. The lawsuit represents one of the largest coordinated legal actions by the news publishing industry against artificial intelligence companies, claiming that OpenAI and Microsoft violated copyright protections by crawling news websites—including content behind paywalls—and stripping away copyright management information, author credits, and publication names before using the material for AI training.
The named publishers in the lawsuit include major regional chains such as Richner Communications, AIM Media, The New York Amsterdam News, the Arkansas Democrat-Gazette, CherryRoad Media, Community Impact Newspaper Co., The New Mexican, Ogden Newspapers, Straus Newspapers, WEHCO Newspapers, and Wick Communications. These publishers collectively represent a significant portion of America’s local news infrastructure, spanning independent papers to regional chains that serve communities across the country. The lawsuit seeks statutory damages, actual damages, restitution of profits, and attorney’s fees across three separate counts of copyright infringement.
Table of Contents
- How Did OpenAI and Microsoft Allegedly Copy News Content?
- What Copyright Claims Did Publishers File in Court?
- Which News Publishers Are Named in the Lawsuit?
- What Damages and Remedies Are Publishers Seeking?
- Why Is This Lawsuit Significant for Copyright and AI Regulation?
- How Did The Case Come Together So Quickly?
- What Happens Next in the Litigation?
- Frequently Asked Questions
How Did OpenAI and Microsoft Allegedly Copy News Content?
According to the complaint, OpenAI and Microsoft crawled hundreds of news websites without authorization, gaining access to articles that were both freely available and content protected behind paywalls and other access restrictions. The publishers allege that this crawling was “systematic and secret,” meaning the companies did not seek permission or notify publishers before copying the material. The defendants then stripped copyright management information from the copied works—removing author bylines, publication names, terms of use notices, and explicit copyright statements—before incorporating the content into training datasets for ChatGPT and Copilot.
This stripping of metadata represents a deliberate removal of the legal and attribution markers that identify original authorship and copyright ownership. A local newspaper with a paywall, for example, would have its premium articles copied and used to train AI systems without readers ever needing to subscribe or access the original source. The publishers argue this practice violates the Digital Millennium Copyright Act and related copyright statutes that explicitly protect against circumventing access controls and removing copyright management information. The scale of the alleged infringement extends to hundreds of news sites, making it one of the most expansive copyright violations claimed against AI companies to date.
What Copyright Claims Did Publishers File in Court?
The lawsuit alleges three separate counts of copyright infringement against the defendants. The first involves direct infringement of the copyrighted articles themselves—the core claim that OpenAI and Microsoft copied protected works without permission. The second involves the removal and alteration of copyright management information, which the DMCA specifically prohibits. The third addresses the unauthorized use of the articles for commercial purposes, as both ChatGPT and Copilot are offered through monetized services or are integrated into commercial products like Microsoft’s software suite.
A critical limitation of copyright law is that it does not require direct economic harm to establish infringement. Publishers do not need to prove they lost subscription revenue because of AI training; they only need to demonstrate that protected works were copied without authorization. However, proving the exact amount of damages becomes more complicated in AI cases, since the infringement occurs in a training process rather than direct distribution. The publishers are seeking both statutory damages—which can be up to $150,000 per work infringed—and actual damages based on market harm, profits the defendants derived from the unauthorized use, and attorney’s fees to cover litigation costs.
Which News Publishers Are Named in the Lawsuit?
The coalition includes established regional publishers operating across multiple states and serving diverse communities. Richner Communications operates newspapers in New York, while AIM media runs publications across the Midwest. WEHCO Newspapers publishes in Arkansas and Oklahoma. Wick Communications operates community newspapers across multiple states. The New York Amsterdam News, one of the nation’s oldest African American newspapers, is also named.
The Arkansas Democrat-Gazette represents larger regional papers with significant circulation. Community Impact Newspaper Co. specializes in hyperlocal coverage for suburban areas. The New Mexican has served the New Mexico market since 1863. These publishers represent the full spectrum of local news operations in the United States—from small-town weeklies to regional dailies—which collectively employ thousands of journalists and support local news reporting. By assembling nearly 400 publishers in a single lawsuit, the group has created significant legal and public relations pressure on the defendants, demonstrating that the copyright issue transcends any single publisher’s concern and represents an industry-wide problem.
What Damages and Remedies Are Publishers Seeking?
The lawsuit seeks four categories of relief: statutory damages under copyright law (which can be awarded per work infringed regardless of actual losses), actual damages based on any market harm to publishers’ business, restitution of any profits OpenAI and Microsoft derived from using the content, and recovery of attorney’s fees and litigation costs. Statutory damages in copyright cases can reach $150,000 per infringed work, though judges may award lower amounts in some circumstances. If the court finds willful infringement—meaning the companies knew or should have known their conduct was unlawful—damages can increase.
The tradeoff in pursuing statutory damages versus actual damages is that publishers may seek higher numbers through statutory claims but face uncertainty about what a judge will actually award. Actual damages require proving direct financial loss, which is more difficult to measure when content is used in AI training rather than direct republication. However, the sheer scale of the alleged infringement—hundreds of sites and thousands of articles—could result in substantial total damages even if individual statutory awards are conservative. Attorney’s fees represent a secondary but important remedy, as litigation against major technology companies is expensive and resource-intensive for regional publishers.
Why Is This Lawsuit Significant for Copyright and AI Regulation?
This lawsuit addresses a fundamental gap in how copyright law applies to artificial intelligence. Publishers argue that training data does not fall into any copyright exception simply because it is used for machine learning. The defendants may argue their use qualifies as “fair use”—a legal doctrine allowing limited use of copyrighted works for purposes like criticism, news reporting, or transformative research.
However, fair use is highly context-dependent, and the removal of copyright management information creates additional legal violations beyond the fair use question. A major limitation of the fair use defense is that courts evaluate it case-by-case, and AI companies have not yet had significant courtroom victories on this issue in the context of large-scale training data. The lawsuit occurs as Congress and regulators worldwide debate whether AI companies should pay licensing fees to content creators, whether additional statutory protections are needed, or whether fair use already provides sufficient cover for training data collection. This case will likely influence future legislation and industry standards for how AI companies obtain and use published content.
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How Did The Case Come Together So Quickly?
The coordination of nearly 400 publishers into a single lawsuit required organizing multiple regional chains and independent papers through industry groups and legal counsel. Publishers organized through industry associations and coordinated legal representation, making the case possible despite the publishers’ competitive relationship in many markets. The timing—June 24, 2026—follows years of newsroom debates about AI systems’ apparent use of news articles in training and generating responses.
This represents a shift in how publishers respond to technology companies. Rather than individual lawsuits or negotiated licensing agreements, the coordinated legal action creates collective bargaining power and legal efficiency. The strategy mirrors class action approaches in other industries where large numbers of similarly-situated parties face common legal injuries from the same defendant.
What Happens Next in the Litigation?
The defendants will file responses to the complaint, likely raising fair use defenses and arguing that AI training constitutes a transformative use that does not require permission. Discovery—the process of exchanging evidence and documents—will examine whether OpenAI and Microsoft had actual knowledge that they were accessing copyrighted content, whether they deliberately avoided detection, and what business decisions led to their content collection practices. The court must first decide whether the lawsuit can proceed as a class action or group claim, or whether individual publishers will need to pursue separate cases.
These early phases of litigation can take months or years. Settlement negotiations may occur at any point, with publishers potentially negotiating licensing agreements or damages settlements outside of court. The legal standards courts ultimately apply in this case could shape whether future AI training on published content requires permission, licensing fees, or remains permissible under copyright law’s fair use doctrine.
Frequently Asked Questions
How many publishers are involved in the lawsuit?
Nearly 400 local newspapers filed the lawsuit, making it one of the largest coordinated legal actions by the news industry against AI companies.
What are the companies accused of doing?
The publishers allege that OpenAI and Microsoft systematically crawled news websites—including paywalled content—and copied articles to train ChatGPT and Copilot while stripping away copyright information, author credits, and publication names.
What damages are publishers seeking?
The lawsuit seeks statutory damages (up to $150,000 per work infringed), actual damages based on market harm, restitution of profits, and recovery of attorney’s fees.
Which major publishers are named in the lawsuit?
Named publishers include Richner Communications, AIM Media, The New York Amsterdam News, Arkansas Democrat-Gazette, CherryRoad Media, Community Impact Newspaper Co., The New Mexican, Ogden Newspapers, Straus Newspapers, WEHCO Newspapers, and Wick Communications.
When was the lawsuit filed?
The lawsuit was filed on June 24, 2026.
Will the court allow this to proceed as a group lawsuit?
Courts must first decide whether the case qualifies as a class action or group claim. This procedural decision could take months and significantly affects how the litigation proceeds.
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