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Generative AI and Legal Ethics

Safely integrate artificial intelligence into your legal practice without compromising client confidentiality, violating ethical duties, or risking professional sanctions.

Created byEran Kahana
BeginnerUpdated May 4, 2026

What You'll Learn

  • check_circleIdentify what qualifies as AI versus automation in legal tools.
  • check_circleRecognize key ethical risks of generative AI, reasoning models, and AI agents.
  • check_circleApply professional responsibility rules to AI-assisted legal work.
  • check_circleImplement practical safeguards to maintain control, accuracy, and compliance.

About This Course

Generative AI is no longer a novelty in legal practice—it’s a force multiplier that can sharpen your work or expose you to serious ethical risk. This webinar cuts through the hype to define what actually counts as AI, distinguish true reasoning models from dressed-up automation, and unpack the growing role of AI agents in day-to-day legal workflows.

Through real-world examples and emerging regulatory guidance, you’ll explore how generative AI amplifies both capability and liability—affecting competence, supervision, confidentiality, and professional judgment. We’ll examine where these tools fail, why lawyers are already being sanctioned, and how evolving expectations from the ABA and courts are reshaping ethical practice.

The session concludes with practical, defensible best practices to help you stay firmly in control of AI tools—so you can harness their benefits without compromising your professional obligations.

Course Content

1 activity • 1 videos • duration: 1h 2m

  • videocamGenerative AI and Legal Ethics
    Duration 62:52

Your Instructor

Eran Kahana

Artificial Intelligence, Cybersecurity, and IP Attorney | Maslon LLP

menu_book7 courses
star37 reviews

Eran Kahana is an AI, cybersecurity, and intellectual property lawyer as well as a Fellow at Stanford Law School, a member of the Advisory Board of Stanford Law School’s Stanford Artificial Intelligence & Law Society, an adjunct professor of law at the University of Minnesota Law School, and a member of the Scientific Council of the Israeli Association for Ethics in Artificial Intelligence. In his practice, Eran counsels clients on a wide variety of matters related to AI, cybersecurity, privacy, technology law, trademarks, patents, and copyright issues. Eran also serves in a variety of cybersecurity thought leadership roles and works closely with the FBI, Department of Justice, Secret Service, and colleagues from the private and academic sectors to set, promote, and sustain cybersecurity best practices. At Stanford Law School, Eran writes and lectures on the intersect between law and AI and is a frequent speaker at Stanford's annual Digital Economy Best Practices Conference. He has been cited in Oxford University Professor Marcus Du Satoy’s book The Creativity Code: Art and Innovation in the Age of AI and has been interviewed on AI, cybersecurity, privacy, and technology law by Bloomberg Law, BBC, Canadian Broadcasting Corporation (CBC) radio, KABC radio, Minnesota Public Radio, Twin Cities Business magazine, Star Tribune, Minnesota Lawyer, TheStreet.com, Quartz magazine, and Stanford University Radio, KZSU FM.

Credit Information

Professional development requirements vary by profession, country, and regulatory body. Before enrolling, review the course details and confirm that the content, learning format, and any listed credits meet your specific requirements. You are responsible for confirming eligibility with your regulator or professional association and keeping the records required for reporting.

What Students Are Saying

5.0 out of 5
Student's Choice
3 reviews

Frequently Asked Questions

We are a registered provider with 300+ associations and regulatory bodies worldwide. We operate across 27 global markets including Canada, the US, Australia, and the UK. Every course page clearly displays its specific accreditations. Upon completion, you receive a professional certificate that can be validated online. Our certificates include all necessary accreditation details, credit hours, and completion dates, and are formatted specifically to meet the submission requirements of most global regulatory bodies.

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