Top Mistakes to Avoid When Building an AI Policy for Life Sciences Companies

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AI is reshaping the life sciences industry—but with innovation comes legal risk. From IP and privacy concerns to regulatory and contractual challenges, life sciences companies must take a proactive approach to managing AI use.

Join us for a webinar on how to develop an AI policy tailored for life sciences organizations—and avoid the most common legal and strategic pitfalls along the way. We’ll provide guidance on what to do, and what not to do, including:

  • Patentability risks in AI-driven research
  • Trade secret risks, privacy and data use concerns when using AI-tools
  • The evolving regulatory framework and compliance obligations
  • The importance of a governance framework with defined roles
  • Real-world examples of how an AI policy can add value while guiding responsible use and compliance-minded principles
  • Whether you're drafting your first AI policy or refining an existing framework, this session will help you take a risk-based, business-savvy approach—so your company can innovate with confidence and avoid costly detours.