NY/NJ/CT Chapter Presents: Test, Don’t Trust (CLE Program)

How Lawyers Should Verify AI Before They Rely on It

This program will demonstrate what AI answers can hide, using a published, replicable audit of 13 commercial AI systems as a case study, and will explain what lawyers’ duties of competence, confidentiality, communication, and supervision require before relying on AI output, and will provide a practical verification method, AI Output Verification Checklist, AI Reliance Memo template, and vendor intake questions.

Presented by Lana Akopyan, Esq.

Lana is a New York-admitted, USPTO-registered patent attorney with more than sixteen years of intellectual property experience. Before becoming a lawyer, she worked as a software engineer and earned her degree in computer science. She writes The Agentic Lawyer, a practitioner publication on AI in legal practice, and is the author of a published, replicable study examining how thirteen commercial AI systems behave under changing user conditions. She chairs the Intellectual Property Committee of the Women’s Bar Association of the State of New York and serves on the Armenian Bar Association’s IP and Technology Committee.

Application for New York accreditation of this program is currently pending (CLE credit of 1.5 credit hours).

This program is cost free. It is in person with a virtual option. Pre-registration is required for all attendees, in person or visually.