Five major Canadian media organizations have opened a new front in the legal fight over artificial intelligence and journalism. Their lawsuit accuses OpenAI of using copyrighted news content without permission to train the AI models behind ChatGPT.
The case was filed by Torstar, Postmedia, The Globe and Mail, The Canadian Press, and CBC/Radio-Canada. Together, they argue that their reporting was copied and used for OpenAI’s commercial purposes without consent, authorization, or compensation.
What the Canadian lawsuit alleges
At the center of the complaint is a direct challenge to how OpenAI obtains and uses text for its GPT models. The media companies say OpenAI took material from their websites, web-based applications, and the websites of third party partners.
According to the lawsuit, "To obtain the significant quantities of text data needed to develop their GPT models, OpenAI deliberately 'scrapes' (i.e., accesses and copies) content from the News Media Companies' websites, web-based applications, and/or the websites of their Third Party Partners. It then uses that proprietary content to develop its GPT models, without consent or authorization. OpenAI also augments its models on an ongoing basis by accessing, copying, and/or scraping the News Media Companies' content in response to user prompts."
That allegation matters because it frames the dispute as more than a one-time training issue. The companies claim OpenAI not only used their content to develop GPT models, but also continues to access, copy, or scrape their material in response to user prompts.
The publishers also point to the cost of producing the material at issue. They say they spend "hundreds of millions of dollars" creating news content in both English and French. Their argument is that OpenAI benefits from that work systematically, while the organizations that funded the journalism are not paid for the use.
Why the publishers say this is about more than technology
The Canadian media organizations say they support technological innovation. Their objection is not to AI as a category, but to the way they say their intellectual property has been used.
In a joint statement, the companies rejected OpenAI’s position on the public value of using news content in AI systems. "OpenAI's public statements that it is somehow fair or in the public interest for them to use other companies' intellectual property for their own commercial gain is wrong," the media companies said.
They added: "Journalism is in the public interest. OpenAI using other companies' journalism for their own commercial gain is not. It's illegal."
The distinction is important to their case. The publishers are presenting journalism as a public-interest activity that requires investment, editorial systems, and legal protection. In their view, using that work to build commercial AI products without permission undermines the value chain that makes the reporting possible.
The complaint also puts the question of consent at the center of the debate. The media companies are not arguing that news content has no place in technology. They are arguing that companies using intellectual property must do so fairly and within existing laws.
A growing wave of media lawsuits
The Canadian lawsuit is part of a broader pattern of legal action by news organizations against AI companies. The source article places it alongside several similar cases involving OpenAI and Microsoft.
The New York Times sued OpenAI and Microsoft in late 2023. That case seeks billions in damages and asks for the destruction of AI models trained on its articles.
Eight US publishers, including the New York Daily News and Chicago Tribune, have also filed suit. Those publishers claim OpenAI and Microsoft "stole" millions of copyrighted articles.
These lawsuits show that the legal conflict is not limited to one publisher or one market. Large media organizations are increasingly asking courts to decide whether AI companies can use copyrighted journalism to develop models, and under what conditions.
For publishers, the stakes include control over their archives, compensation for reuse, and the future role of news content in AI systems. For AI companies, the stakes include access to large quantities of text data and the legal boundaries around model training.
The legal picture remains unsettled
The source article also makes clear that courts have not delivered a single, uniform answer. Some cases have faced setbacks, while others have been allowed to move forward.
A New York federal judge recently threw out a lawsuit filed by news sites Raw Story and AlterNet against OpenAI. The judge sided with Big AI's fair use argument and found that the plaintiffs could not prove they were sufficiently harmed. The news sites may still appeal the decision.
At the same time, The Intercept gained partial success in a very similar case. Its lawsuit alleging violations of the Digital Millennium Copyright Act was allowed to proceed. That suit claims OpenAI removed copyright management information such as titles and author names without permission.
Those mixed results help explain why the Canadian case will be watched closely. The law is being tested from several angles: copyright, alleged scraping, fair use arguments, compensation, and the handling of copyright management information.
The outcome of any one case may not settle the entire debate. But each decision can shape how publishers, AI developers, and courts understand the relationship between journalism and generative AI systems.
Media deals bring another layer of concern
OpenAI has also started making deals with select media outlets. Those partnerships raise a separate concern in the source article: whether agreements with some publishers could leave others behind.
Journalism researcher Jeff Jarvis recently described these deals as hush money. He suggests tech companies are trying to buy publishers’ silence in legal disputes and legislative processes, calling it "pure lobbying."
Jarvis also warns that exclusive partnerships could hurt smaller, local, and independent publications. His concern is that organizations without access to AI technologies, or without visibility inside AI apps, could face a tougher future.
That concern connects directly to the Canadian lawsuit. If large publishers sue, settle, or make deals, the resulting landscape may not serve every newsroom equally. The biggest organizations may be able to negotiate, while smaller outlets may have fewer ways to protect their work or participate in new AI-driven distribution systems.
For now, the lawsuit by Torstar, Postmedia, The Globe and Mail, The Canadian Press, and CBC/Radio-Canada adds pressure to a legal and commercial fight that is still taking shape. The central question remains simple but consequential: when AI systems use journalism, who gets to decide the terms?