CLE
UPCOMING

AI Doesn't Keep Secrets: Effects on IP & Data Privacy

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19 May, 2026 | 
3:00 PM EST
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60mins
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Virtual event
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1.0 Credits

Lightning fast adoption of AI has significantly impacted the landscape of trade secrets and data privacy as they relate to intellectual property law. The use of GenAI in workplaces is common now, but gives rise to high risks of disclosure of trade secrets and sensitive information. Adding fuel to the fire is the trend towards adoption of trade secrets instead of patents which may be unintentionally increasing the frequency of inadvertent disclosure. 

In this Continuing Legal Education (CLE), we will walk through what in-house counsel need to know, including how AI affects the "readily ascertainable" standard, where data privacy obligations intersect with trade secret law, and what governance measures can meaningfully reduce exposure .

This CLE is eligible for credit in all 50 states and free to register.

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AI & Data Privacy CLE Agenda

  • Introduction

    • Functionality of GenAI
    • Identification of Conflict with AI and IP
    • What we’re not covering
  • AI’s Effect on Trade Secrets

    • UTSA definition vs practical meaning of Trade Secret
    • Key Effects:
      • “Readily ascertainable” issue
      • Theft
      • Disclosure
      • “Improper Means”
      • Developers’ Trade Secrets
    • Recent legislation/AI transparency laws
      • Trade Secret redaction issues
      • Potential solutions
  • AI’s Effect on Data Privacy

    • Types of Data
      1. Big Data
      2. Personal Data
    • Effects:
      1. Exposure
      2. Inferences
      3. Data retention (main and ancillary)
  • Best Practices

    • No retention/no train
    • Internal AI tools
    • Employee training/policies
    • Technical controls
    • AI-specific contracts
    • Prohibition
    • Policy updates/mandates
  • Q&A

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