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AI and Intellectual Property Theft

Who owns the work that built the machine?

Generative AI didn't emerge from nothing. It was built on books, articles, photographs, illustrations, code, and countless other works that real people created. AI companies took that work, in many cases without asking, without paying, and without disclosing what they were doing. Now creators, publishers, and journalists are fighting back. Courts across the country are deciding whether training an AI model on someone's copyrighted work is infringement or fair use. The answer will shape the future of both creativity and technology. Clarkson is helping to lead this fight. We represent creators whose work was taken without consent to build Google's AI products.

Key Insights

   Every generative AI model was built on human creativity. Most of it was taken without permission.

   A central legal question is whether AI training constitutes "fair use,” and courts are divided.

   Courts have allowed claims to move forward. The litigation is pushing AI companies toward greater disclosure and accountability.

Together on AI - AI and Intellectual Property Theft
Together on AI - AI and Intellectual Property Theft
Together on AI - AI and Intellectual Property Theft

Clarkson's strategic perspective.

This is a fight about whether the law applies to powerful companies when the technology moves fast. AI companies had a choice. When they needed training data, they could have gone through the licensing markets that exist for exactly this purpose. Instead, they concluded that the scale of what they wanted, and the speed at which they wanted it, made asking permission impractical. So they took it.

That reasoning — that the opportunity is large enough, and the companies powerful enough, to operate outside the rules everyone else has to follow — is what this litigation is about. Copyright protects creators because creation has value. The fact that those works were posted online does not mean they were donated to the AI industry.

"The data rebellion that we're seeing across the country is society's way of pushing back against this idea that Big Tech is simply entitled to take any and all information from any source whatsoever, and make it their own."

Ryan Clarkson - Managing Partner, Clarkson Law Firm, quoted in The New York Times

Our AI and Intellectual Property Theft Legal Team

PRESS & MEDIA

​Has AI stolen your work?

FREQUENTLY ASKED QUESTIONS

AI copyright infringement refers to the use of protected creative works — books, articles, images, code — to train AI models without the creator's permission. This has been litigated seriously since late 2022 and 2023, when the commercial success of tools like ChatGPT and image generators revealed the scale of what had been taken. Courts are now working through these cases, and the outcomes will set the legal rules for how AI models can be trained going forward.

This is a central legal dispute. AI companies argue yes — that training is transformative, involves no direct copying of output, and constitutes learning, not theft. Creators argue no — that ingesting a protected work into a training dataset is a form of copying, that licensing markets exist for this exact use, and that the commercial scale of AI undermines any fair use claim. Courts have not yet definitively resolved this question.

No. Copyright protection is automatic and does not depend on whether a work is behind a paywall or freely accessible. The fact that something can be accessed does not mean it can be taken and used commercially without consent. Publicly posting a photograph or an article does not constitute granting permission to train an AI model on it.

Clarkson is one of four lead firms prosecuting In re: Google Generative AI Copyright Litigation, a proposed class action in federal court in California. The lawsuit alleges Google used the copyrighted work of authors, visual artists, photographers, and other creators without consent to train its generative AI products, including Gemini. It seeks consent, credit, and compensation for affected creators, as well as injunctive relief to prevent future harm.

Fair use is a legal doctrine that permits limited use of copyrighted material without permission in certain circumstances, with commentary, parody, research, and transformation being the most cited. AI companies rely on fair use as their primary defense. A critical counter-argument is that a robust licensing market for AI training data already exists. When companies are voluntarily paying billions of dollars to license content, it is hard to argue they are legally entitled to take it for free.

Yes, potentially in significant ways. If courts rule that training on copyrighted content requires permission, companies will need to negotiate licenses with rights holders — restructuring how they acquire training data and compensating creators in the process.

In most cases, you don't, and that lack of transparency is part of what the litigation is trying to change. AI companies have not generally disclosed what was included in their training datasets. If you are a creator with published or publicly accessible work and you have concerns, contact us at the form above to share your experience.

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