Marketing Teams Face Legal Exposure From Unvetted AI-Generated Claims
Marketing departments using AI to create content are running a compliance risk they're not accounting for: the tool may embed false or unsubstantiated product claims into the output, and teams aren't reviewing the material with the same rigor they would apply to human-written copy.
Aaron Goodman, an advertising attorney, said the problem stems from a fundamental gap in how teams approach AI-generated marketing. "People are not thinking about the fact that there may be claims embedded in there," he said. "They're just not thinking in the context of having to vet that in the same way."
The Vetting Problem
When marketers write copy manually, legal review is standard practice. Claims about product performance, benefits, or specifications get scrutinized before publication. AI-generated content often bypasses this step.
The risk is straightforward: AI systems trained on broad internet data can confidently assert things that aren't true or lack proper substantiation. A marketing team that publishes these claims without verification faces potential liability for false advertising, regulatory action, and reputational damage.
This exposure applies across industries. Whether a marketer uses AI to draft email campaigns, social media posts, landing pages, or product descriptions, the same compliance obligations apply.
What Legal Teams Should Do
The solution requires treating AI output like any other draft: submit it for legal review before publication. Attorneys need to verify that claims are substantiated, compliant with FTC guidelines, and accurate to the product or service being marketed.
Teams should also document their review process. If a claim later becomes disputed, showing that legal vetting occurred-and what that vetting included-matters in litigation.
For organizations using AI for Marketing, establishing clear workflows between marketing and legal is essential. The tool itself isn't the problem. The problem is treating AI-generated content as pre-vetted when it isn't.
Legal professionals working with marketing teams should also understand how their company's AI tools work and what data they were trained on. That context helps identify where false claims are most likely to appear.
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