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.
AI agents — autonomous systems capable of planning, deciding, and acting independently across ...
Modern mediation increasingly brings together parties, counsel, and neutrals across a broad range of...
The Aftermath of Scams and Cybercrime: A Practical Guide to Response and Recovery examines the immed...
During this course, you will learn about best practices and strategies for retaining intellectual pr...
Lawyers lose hundreds of billable and operational hours every year to poorly managed meetings. Unfoc...
Objections are among the most powerful — and most misunderstood — tools in a trial lawye...
This course on trade secrets litigation provides real-world best practices through all key stages of...
"Artificial Intelligence and the Practice of Law" (updated through 2026), is a 50-slide primer desig...
This program provides a practical roadmap to mastering every stage of the discovery process in civil...
Adverse and derogatory information often has devastating effects on a contractor's ability to win co...