Bio
Andrew Eichen helps clients navigate the regulatory and strategic challenges of artificial intelligence. With a background in law, finance, and public policy, he advises clients on responsible AI deployment and compliance under emerging frameworks including the EU AI Act, Colorado AI Act, and NYC Local Law 144.
Andrew designs practical governance programs that help companies operationalize regulatory compliance and minimize deployment risk. His experience includes drafting internal policies aligned with the NIST AI Risk Management Framework, developing vendor assessment frameworks, and building AI-specific incident response plans.
He specializes in evaluations and testing of AI systems, including adversarial testing (red teaming) for GenAI and accuracy/bias audits for predictive models. Andrew also advises clients on system-specific risks and AI-related contract terms for SaaS and enterprise applications.
Prior to joining ZwillGen, Andrew was an associate at Venable LLP, where he advised financial institutions and fintech companies on banking regulations and payment processing.
Andrew earned his J.D., magna cum laude, from the University of Pennsylvania Law School, where he was inducted into the Order of the Coif and received the graduating prizes for Excellence in Business Law, Best Paper in Law and Economics, and Outstanding Trial Advocacy Abilities. During law school, he focused his studies on technology law, serving as a research assistant to Professor Christopher S. Yoo, a leading authority on internet law, and as a Senior Editor of the Journal of Law and Innovation.
Andrew also holds a Master of Public Policy from Georgetown University’s McCourt School of Public Policy, where he was named a McCourt Scholar, the school’s most prestigious merit scholarship. His AI-focused coursework included studies with Professor Paul Ohm, and his research on AI in higher education earned the award for Most Outstanding Thesis. Andrew earned his Bachelor of Science in Business Administration, magna cum laude, from Washington University’s Olin Business School, with double majors in Finance and Entrepreneurship.
RECENT PUBLICATIONS
Emerging trends in regulating generative AI: How red teaming is shaping the landscape
In this article for IAPP, Andrew Eichen surveys how regulators around the globe are incorporating, and in some cases requiring, red-teaming of generative AI systems. View publication.
Does Attorney-Client Privilege Survive When AI Listens?
In this Corporate Compliance Insights, Andrew Eichen explores how attorney-client privilege might be implicated when lawyers and clients use AI tools that train on their data. View publication.
‘Tip of the Iceberg’: Lawyers Look to Address Risks From Gen AI Transcription Tools
In a recent Law.com article, Andrew Eichen explains the risks of legal teams using generative AI transcription tools as well as ways to avoid unknowingly sharing sensitive data. View publication.
