The integration of artificial intelligence (AI) into consumer-facing companies has surged, with a recent survey indicating that over 75% of in-house counsel now utilize AI for creating marketing and advertising content. This widespread adoption, however, brings to the forefront a complex array of legal and reputational challenges that organizations must navigate carefully.
A significant concern is the potential for AI systems to generate inaccurate or misleading information, commonly referred to as “hallucinations.” Such errors can lead to the dissemination of false claims, exposing companies to legal actions and damaging consumer trust. For instance, in 2024, the Federal Trade Commission (FTC) took action against several companies for false advertising linked to AI-generated content, underscoring the necessity for rigorous oversight and validation of AI outputs. ([mestazlaw.com](https://www.mestazlaw.com/commercial-litigation/when-ai-goes-wrong-the-hidden-legal-landmines-destroying-businesses/?utm_source=openai))
Intellectual property rights present another critical area of risk. The use of copyrighted material to train AI models without proper authorization has led to a series of high-profile lawsuits. Notably, Thomson Reuters secured an early legal victory against Ross Intelligence, which was accused of using content from the Westlaw legal database without permission to train its AI model. The court rejected Ross’s “fair use” defense, highlighting the legal complexities surrounding AI training practices. ([apnews.com](https://apnews.com/article/4a127c5b7e8bb76c84499fe12ad643c8?utm_source=openai))
The rapid deployment of AI technologies has also prompted companies to acknowledge associated risks in their public disclosures. A study revealed that nearly 72% of S&P 500 companies now identify AI as a material risk, a significant increase from 12% in 2023. Reputational risk tops the list, with firms warning that failed AI projects or missteps in consumer-facing tools could quickly erode brand trust. ([carriermanagement.com](https://www.carriermanagement.com/news/2025/10/07/280190.htm?utm_source=openai))
To mitigate these risks, companies are advised to implement comprehensive governance frameworks for AI deployment. This includes conducting regular audits to detect and address biases, ensuring transparency in AI processes, and prioritizing consumer data privacy. By proactively addressing these challenges, organizations can harness the benefits of AI while safeguarding their legal standing and reputation.