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.
Section 337 provides powerful, efficient and rapid remedies for a wide range of unfair methods of co...
In 1968, English rock band The Zombies released their psychedelic counterculture anthem, “Time...
This course on trade secrets litigation provides real-world best practices through all key stages of...
During this course, you will learn about best practices and strategies for retaining intellectual pr...
Adverse and derogatory information often has devastating effects on a contractor's ability to win co...
When the investigation concludes, the discipline is issued, and the file is closed, most organizatio...
Objections are among the most powerful — and most misunderstood — tools in a trial lawye...
Lawyers lose hundreds of billable and operational hours every year to poorly managed meetings. Unfoc...
Decentralized Autonomous Organizations (DAOs) and other digital-native structures have moved from ni...
Trial Starts Now: Winning the Final Six Months provides a comprehensive guide to the critical tasks ...