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.
Perfectionism is often rewarded in the legal profession. It drives attention to detail, thorough pre...
This program will discuss how to design and implement legally sound diversity, equity, and inclusion...
During this course, you will learn about best practices and strategies for retaining intellectual pr...
The Aftermath of Scams and Cybercrime: A Practical Guide to Response and Recovery examines the immed...
Data privacy remains one of the most rapid areas of growth in the class action space. Plaintiffs con...
Lawyers lose hundreds of billable and operational hours every year to poorly managed meetings. Unfoc...
This course on trade secrets litigation provides real-world best practices through all key stages of...
Class action litigation continues to expand in both number of filings and monetary exposure, with se...
Class action waivers in arbitration agreements remain enforceable, but a decade of U.S. Supreme Cour...
AI tools are advancing faster than legal organizations can absorb them. This program examines why th...