UPCOMING

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

Resources Calendar Icon
19 May, 2026 | 
3:00 PM EST
Resources Clock Icon
60mins
Resources Location Icon
Virtual event
Resources Plus Icon
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.

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

Speakers

Elayna2
Elayna Pham
Managing Attorney, Trademarks
Axiom

 Elayna Pham has practiced intellectual property law for 26 years at several of the nation’s largest law firms. At Axiom, she has built and led IP teams for Global Fortune 500 companies and frequently lectures on IP topics ranging from artificial intelligence, to NFTs to industry-specific topics.  

Register

Dont miss this opportunity to gain valuable insights and strategies from leading experts in the field. Register now to secure your spot. 

Looking for top legal talent?

Explore Axiom’s trusted network of lawyers and legal professionals available on demand to support your team.

Start Browsing

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