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The Intersection of Agentic AI and Emerging Legal Frameworks
The evolution of artificial intelligence (AI) has introduced systems capable of making autonomous decisions, known as agentic AI. While generative AI essentially “creates” – providing content such as text, images, etc. – agentic AI “does” – performing tasks such as searching for and ordering products online. These systems are beginning to emerge in public-facing applications, including Salesforce’s Agentforce and Google’s Gemini 2.0. As agentic AI continues to proliferate, legal systems must adapt to address the risks and harness the benefits of AI systems that are able to think more logically and take action rather than merely guide or create. Initiatives such as the California Consumer Privacy Act (CCPA) and its proposed modifications for automated decision-making technologies (ADMT) highlight the ways in which regulators are working to ensure privacy and accountability in the AI-driven era.
Acquiring AI as ESI in E-Discovery
This paper suggests how to go about acquiring machine learning models that are in production with a litigant.
Artificial Intelligence: What Lawyers Should Know
This is the slide deck for the presentation.
Artificial Intelligence: What Lawyers Need to Know (Webinar)
This is a link to the video presentation on Artificial Intelligence.
Artificial Intelligence: What Business Lawyers Need to Know
This video was presented at the 2023 Advanced Business Law Seminar in November, 2023.
FTC's First Attempt to Crack Down on AI-Generated Fake Reviews
On August 14, the FTC announced its final rule banning fake reviews and testimonials.
PDF and its Discontents
This is a short article highlighting the problems inherent in our profession's adherence to a particular document format.