Generative AI: Managing Cybersecurity and Privacy Risks in Your Practice | Justia Webinars

This webinar will provide essential guidance for legal professionals on managing cybersecurity and privacy risks when implementing generative AI tools in law practice. The presentation will span from the broad application of AI tools in law practice, to the more detailed topics of cybersecurity vulnerabilities and AI security incident statistics.

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00:00 Introduction
04:44 AI and Legal Practice
09:54 Governance and Standards
17:00 Generative AI and Privacy Risks
31:04 Cybersecurity Vulnerabilities
49:00 ABA Guidance and Risk Management
01:01:04 Q&A Session

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Agenda
Introduction to Generative AI
Overview of generative AI technology, how it differs from traditional AI, and common applications in legal practice, including ChatGPT, Claude, and document generation tools

Generative AI in Legal Practice: Benefits & Adoption
Current adoption rates across firm sizes, key efficiency gains, and the tension between rapid adoption and security governance

Key Privacy Risks in Generative AI
Critical examination of data leakage, attorney-client privilege concerns, training data contamination, shadow AI usage, and regulatory compliance challenges, including GDPR and CCPA violations

Cybersecurity Vulnerabilities
Technical security threats include prompt injection attacks, data poisoning, adversarial examples, AI-enhanced social engineering, API vulnerabilities, and model stealing risks

AI Security Incident Statistics
Discussion of breaches and shadow AI impacts

ABA Guidance & Regulatory Landscape
ABA Formal Opinion 512 requirements, ethical obligations for competent representation, client confidentiality, supervision duties, and an overview of the EU AI Act and state privacy laws

Risk Management Framework for Law Firms
Comprehensive framework covering AI governance policy development, vendor due diligence, data minimization strategies, access controls, security audits, and incident response planning

Best Practices & Implementation
Practical implementation steps, vendor assessment protocols, client consent procedures, prompt engineering guidelines, documentation requirements, staff training programs, and governance policy checklist

Questions & Answers

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Speaker

Eran Kahana
Counsel & Fellow, Maslon LLP
https://connect.justia.com/webinars/s...

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, and an Adjunct Professor of Law at the University of Minnesota Law School.

Eran counsels clients on a wide variety of matters related AI, cybersecurity, privacy, technology law, trademarks, patents, and copyright issues. He 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. At the University of Minnesota Law School, he teaches the "AI and the Law" class. Eran has been cited in Oxford University Professor Marcus Du Satoy’s book "The Creativity Code: Art and Innovation in the Age of AI" and also 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, The Star Tribune, Minnesota Lawyer, TheStreet.com, Quartz magazine, and Stanford University Radio, KZSU FM.


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