Obtaining Patent Protection in the U.S.

This comprehensive program, presented by PJ Shang, PhD, JD, from Sheppard Mullin's Silicon Valley office, examines current USPTO policies and guidelines regarding artificial intelligence patent applications, with particular focus on patent eligibility requirements and practical application standards. The course analyzes recent USPTO guidance through detailed examination of example claims while providing strategic approaches for protecting AI innovations. Through analysis of specific example claims and comparative discussion, participants will gain practical insights into drafting effective AI patent applications.

Designed for patent practitioners, intellectual property attorneys, and in-house counsel working with AI technologies, this program offers concrete strategies for navigating USPTO requirements while protecting AI innovations. Special emphasis is placed on distinguishing between hardware and software implementations, and developing appropriate levels of technical detail for patent eligibility.

Learning Objectives:

1. Analyze USPTO's latest guidance on AI patent applications and implement effective strategies for addressing Section 101 eligibility requirements
2. Evaluate appropriate levels of technical detail for describing AI implementations in patent applications
3. Develop practical approaches for protecting AI-powered business methods through proper characterization of technical improvements
4. Apply best practices for drafting AI patent claims that meet USPTO's practical application requirements while maintaining strategic value for clients