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.
"Artificial Intelligence and the Practice of Law" (updated through 2026), is a 50-slide primer desig...
Class action litigation continues to expand in both number of filings and monetary exposure, with se...
New York City’s new Non-Primary Residence Property Surcharge—commonly known as the pied-...
AI agents — autonomous systems capable of planning, deciding, and acting independently across ...
Adverse and derogatory information often has devastating effects on a contractor's ability to win co...
Class action waivers in arbitration agreements remain enforceable, but a decade of U.S. Supreme Cour...
Perfectionism is often rewarded in the legal profession. It drives attention to detail, thorough pre...
AI tools are advancing faster than legal organizations can absorb them. This program examines why th...
During this course, you will learn about best practices and strategies for retaining intellectual pr...
Class action litigation presents significant legal and business challenges for employers and corpora...