Join us on Thursday, June 18, at 12 PM ET for a skills-based program that will train patent practitioners to competently use modern generative AI – specifically GPT and Anthropic models – to build claim charts and to design and operate multi-tool workflows for patent drafting and prosecution while preserving client confidentiality and trade secrets.

Through live demonstrations, attendees will learn prompt patterns for mapping claims to products, performing standard-essential patent (SEP) and essentiality analysis, comparing claim scope across a patent family, and sequencing a tool stack that carries work product from claims to specification to drawings.

The webinar also addresses ethical and professional responsibility considerations when using third-party AI tools (confidentiality, vendor oversight, and disclosure), techniques for siloing client data when using public models, and strategies for controlling context size to avoid over-disclosure when chaining multiple tools. The focus is on practical competence, confidentiality, and defensible workflow design.

Moderated by Yuri Eliezer, CEO of Junior, our panel includes Brett Hertzberg, In-House Counsel at Dolby, and Craig Macy, Patent Attorney at Macy & Peters.

This panel will show you exactly how to prompt state-of-the-art AI models to build defensible claim charts and to sequence a tool stack that carries work product from claims through drawings. Panelists will discuss how to structure inputs to receive reliable, citable outputs, how to chain tools so each step feeds the next, and how to keep confidential data private and siloed when working with public LLM endpoints.