Help

Licensing Strategies for Protecting Interests in Content Used to Train Generative AI

In view of Anthropic and Meta

  • Product Number: 2260244P01
  • CLE Credits, earn up to:
    1.5 substantive credits, 0 ethics credits CLE Credit Note
  • Print Brochure
  • Add to Favorites List

Choose Date/Location:

Registration for this program is closed
Also Available:
Ondemand Webcast
On Demand Webcast Add to Cart
Includes downloadable supporting materials. $175.00; Members $157.50; New Lawyers $87.50 Free for OnlinePass subscribers.
  • Product Description
  • Agenda & Materials
  • Faculty
  • Product Description

    Product Description

    Since the November 2022 release of ChatGPT, millions of users have availed of (and often passively contributed to) artificial neural network models underlying “generative artificial intelligence” (GAI) which support a wide range of credible content creation and, particularly in increasing agentic applications, may impact global security. Headline lawsuits over improper use of copyrighted or otherwise protected content for creation/training and deployment of these models are slowly moving towards trial.

    In June 2025, two judges of the Northern District of California granted summary judgments under different analyses of “fair use” of copyrighted literary works in training of different “large language” GAI models in Bartz v. Anthropic (Claude) and Kadrey v. Meta Platforms (LLaMA).

    These decisions inform licensing and other commercial expectations for GAI developers, users, and content owners. Hear the panelists, who are active in AI policy development and business strategy and transaction counseling, share knowledge and tools to navigate compliance risks and licensing strategies.

  • Agenda

    Agenda & Materials

    Please Note

    MCLE webcasts are delivered completely online, underscoring their convenience and appeal. There are no published print materials. All written materials are available electronically only. They are posted 24 hours prior to the program and can be accessed, downloaded, or printed from your computer.

  • Faculty

    Chair

    Stephen Y. Chow, Esq., S.M. (Physics), Stephen Y. Chow, PC, Boston

    Faculty

    Chad A. Rutkowski, Esq., BakerHostetler, Philadelphia
TOP