Generative AI (GenAI) applications are creating complex challenges as it relates to maintaining compliance with privacy law. This course defines GenAI, walks through the privacy challenges developers and end users face in light of it, and reviews how and why the NIST Privacy Framework and the AI Risk Management Framework are important for dealing with these challenges. The program wraps up with a review of practical risk assessment and mitigation strategies for both developers and end users.
This course examines the latest legal and compliance developments in the artificial intelligence (AI...
This course on trade secrets litigation provides real-world best practices through all key stages of...
Adverse and derogatory information often has devastating effects on a contractor's ability to win co...
This course analyzes federal contractor cyber security obligations under the Federal Acquisition Reg...
Class action litigation continues to evolve rapidly in response to an innovative plaintiffs’ b...
This dynamic CLE presentation challenges trial lawyers to rethink everything they were taught about ...
Decentralized Autonomous Organizations (DAOs) and other digital-native structures have moved from ni...
This presentation serves as a critical follow-up to the June 12, 2026, session on PTAB Discretionary...
During this course, you will learn about best practices and strategies for retaining intellectual pr...
Separation of Powers in United States and Israel from a Perspective of the Ongoing Debates in Both C...