Legal Expert Warns Studios to Actively Protect IP as AI Integration Grows in Game Development

Outfit7’s legal VP warns that AI integration complicates intellectual property rights, making automatic ownership no longer guaranteed. She stresses the need for proactive documentation and human oversight to maintain control over creative assets. The discussion highlights risks around copyright, confidentiality, and the evolving nature of authorship in AI-assisted workflows.
On November 3, 2026, Tina Stockbauer Zagorac, VP of legal at Outfit7—the studio behind the globally recognized Talking Tom franchise—spoke out about the growing risks to intellectual property (IP) in game development due to generative AI integration. Her warnings center on how AI undermines long-standing assumptions about automatic copyright ownership, particularly when human input is minimal or untracked. She emphasized that, unlike traditional workflows where employee-created code or art automatically belonged to the employer, AI-assisted creation now demands active legal management to secure IP rights. This shift is especially critical for studios working with licensed brands or unreleased content, where feeding proprietary assets into public AI tools could result in trade secret exposure, breach of contract, or loss of confidentiality. Outfit7’s position reflects a broader industry concern as AI becomes embedded in design, coding, and marketing processes.
The background to this issue lies in the global legal principle that copyright requires human authorship—meaning AI-generated content without substantial human intervention may not qualify for protection under laws like the U.S. Copyright Act or EU directives. This creates a vulnerability: if studios fail to document human oversight, their assets could end up in the public domain or be legally unenforceable. Zagorac stressed that companies must implement strict protocols—such as disabling model training in AI tools, aud
The implications of Zagorac’s warnings could reshape how game studios approach creativity and legal compliance, potentially slowing innovation if oversight becomes too burdensome. Developers may face increased administrative costs to track human involvement in AI-generated assets, while smaller studios with limited legal resources could be disproportionately affected. The broader market may see a shift toward more controlled, private AI tools or internal models to reduce exposure risks. This situation mirrors earlier concerns around digital rights management (DRM) and software piracy in the 2000s, where new technologies created vulnerabilities that required new legal and technical safeguards. Just as DRM evolved through industry standards and court rulings, IP protection in AI workflows may require similar consensus-building across legal jurisdictions. What to watch for next is whether regulatory bodies or trade groups issue guidelines on acceptable AI use in creative industries—though