Protecting Proprietary Information in the AI Age
When
September 17, 2026
12:00 - 2:00 PM ET
Where
Shareholder Principal Philip Mazoki will be a panelist for the upcoming MCLE webinar, “Protecting Proprietary Information in the AI,” taking place on September 17, 2026, at 12:00 PM EST.
The panel will explore key considerations, practical strategies, and emerging risks related to protecting proprietary information in the evolving AI landscape.
Webinar Description
Since the November 2022 release of ChatGPT, millions of users have availed of (and sometimes unwittingly contributed to) artificial neural network models underlying “generative artificial intelligence” (GenAI) which support a wide range of credible content creation and, particularly in multiplying agentic applications, challenge global security.
These and other AI models and tools have been incorporated into many digital products and service platforms along the “jagged frontier” with uneven representations and transparency such that users may be deceived, among other things, into sharing private information previously filtered by human attention and memory.
Headline lawsuits alleging improper use of copyrighted or otherwise protected information for creation/training and deployment of these models and tools have moved unevenly towards trial and appeal, but more opaquely, settlement.
The panelists, who are active in AI policy development and business strategy and transaction counseling, explain considerations for identifying and protecting your or your clients’ proprietary information and lawfully (fairly) using that claimed by others.
Agenda & Materials
- Beneath Common (and Vendor) Generalizations, How Information Taken from Various Sources at Various Times (Including by “Scraping” Public-Facing Web Pages) Is Used to Train or Otherwise Develop, Fine Tune or Deploy GenAI Models
- How Use of Such Information May Implicate Copyright or Other Law (e.g., Trade Secrets, Contracts, Privacy) That Limit Use – and Viable Claims and Defenses
- IP (e.g., Patent, Copyright, Trade Secrets) Protection for AI-Assisted Innovation and AI-Based Barriers/Defenses (e.g., Human Role, Obviousness, Ready Ascertainability)
- Transactional and Compliance Considerations, Including Content Licensing, Open-Source Software Licensing, “Closed System” Undertakings and Open Weight Models
- Current and Expected Developments, Including AI Agents of Varying Autonomy and the Heightened Risk That Unsupervised or Client-Driven Use of Such Systems May Compromise Confidentiality and Attorney-Client Privilege
