Generative Artificial Intelligence and Legal Ethics

Generative artificial intelligence (GenAI) has rapidly emerged as a transformative force in various industries, and the legal sector is no exception. This Continuing Legal Education (CLE) program, led by Eran Kahana, attorney at Maslon LLP, fellow at Stanford Law School, member of the Stanford Artificial Intelligence Law Society, and adjunct professor of law at the University of Minnesota, delves into the fundamentals of GenAI. Through Kahana's extensive expertise and experience, attendees will explore GenAI's implications for legal practice, ethical considerations, and best practices for implementation. Participants will gain a comprehensive understanding of GenAI's capabilities, limitations, and pivotal role in shaping the future of legal services, with a keen focus on upholding ethical standards.

Learning Objectives:

1. Define artificial intelligence (AI) and understand the specific characteristics and functionalities of Generative AI (GenAI)
2. Assess the impact of GenAI on legal operations, including its potential benefits, challenges, and ethical implications
3. Identify potential ethical dilemmas and develop strategies to ensure compliance with professional rules of conduct while maintaining client trust
4. Effectively integrate GenAI and other AI applications into legal workflows while mitigating risks and ensuring the delivery of high-quality legal services