Knobbe Martens is presenting a live webinar titled ´Copyright and AI: Legal Risk After Meta and Anthropic´ on August 19, 2025, from 12:00 pm to 1:00 pm PT. The session is led by mark lezama and lincoln essig of Knobbe Martens, with sam olive, senior director and associate general counsel, intellectual property at Cisco, joining as a panelist. The program was announced on August 8, 2025, and is positioned to translate recent federal court decisions into practical guidance for counsel and technology teams confronting generative model deployments.
The speakers will focus on how courts are interpreting fair use when training and deploying generative models, drawing directly from the Meta and Anthropic rulings. They will analyze how courts have applied transformative-use reasoning, the selection and use of copyrighted training materials, and the likely downstream effects on licensing, indemnification, and contractual risk allocation. Attendees can expect the session to identify where litigation risk is concentrated and which operational choices tend to reduce exposure when building or integrating generative systems.
Organizers emphasize practical takeaways for in-house counsel and technical leads. The webinar will outline defensive steps companies can take when developing or using generative tools, including documentation practices, vendor controls, and review of content sources. It will also discuss what the decisions mean for claims handling and compliance programs, offering scenarios that corporate counsel may face when evaluating model training pipelines or responding to takedown and infringement assertions.
This program carries professional education recognition: it is approved by the state of California for 1.0 hour of general MCLE credit. Registration is available through the Knobbe Martens event page, which includes ´Register Now´ prompts and firm contact information for follow up. The presentation is aimed at attorneys, IP teams, risk officers, and product leaders who need actionable guidance on adapting policies and contracts in light of recent case law shaping generative Artificial Intelligence.
