Stranch, Jennings & Garvey, PLLC

AI Copyright Litigation

The rapid ascent of artificial intelligence (AI) has created a new frontier for intellectual property law. Generative AI models — including Large Language Models (LLMs) and image generators — rely on massive datasets that are often comprised of billions of creative works harvested from across the Internet.

When these models are trained on copyrighted books, articles, photographs and artwork without the consent of or compensation to the original creators, it undermines the fundamental protections of the U.S. Copyright Act. At Stranch, Jennings & Garvey, we believe that technological progress should not come at the cost of the very human creativity that fuels it.

AI copyright litigation cases can include, but are not limited to:

• Direct copyright infringement by LLMs
• Fair use defense challenges in generative AI
• Protection of rights for authors, artists and digital creators
• Removal or alteration of Copyright Management Information (CMI)
• “Shadow library” and pirated dataset litigation
• Unauthorized use of copyrighted works for AI training datasets

SJ&G is at the vanguard of this evolving legal landscape. Led by Member Lesley E. Weaver, who serves as co-lead counsel in landmark AI copyright litigation against some of the world’s largest technology companies, our team represents authors and creators in high-stakes actions to protect their intellectual property.

We are dedicated to holding tech giants accountable for the “scraping” and ingestion of protected works, ensuring that the development of AI respects the legal rights of those who provide the content that is needed for these systems to function.

Successfully navigating AI litigation requires a rare combination of traditional copyright expertise and a deep understanding of machine learning mechanics. Our attorneys blend decades of complex litigation experience with a cutting-edge focus on digital rights and technological accountability. We are committed to establishing legal precedents that will define the age of automation.