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.
Class action litigation continues to expand in both number of filings and monetary exposure, with se...
This program examines the scope, jurisdiction, and exceptions to the Federal Arbitration Act (FAA), ...
Class action waivers in arbitration agreements remain enforceable, but a decade of U.S. Supreme Cour...
Data privacy remains one of the most rapid areas of growth in the class action space. Plaintiffs con...
During this course you will take a deep dive into federal bid protest litigation at the U.S. Court o...
Confidentiality Agreements (also called NDAs) are too often treated as routine. So routine, th...
As the largest purchaser of goods and services in the world, the United States Government requires f...
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...
New York City’s new Non-Primary Residence Property Surcharge—commonly known as the pied-...