Name: Generative AI: Managing Cybersecurity and Privacy Risks in Your Practice
Uploaded: 2025-10-03T10:00:00-07:00
Description: 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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Generative AI: Managing Cybersecurity and Privacy Risks in Your Practice

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.

Topics covered include:

Artificial Intelligence (AI) Law Firm Management Law Practice Legal Tech

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 (as time permits)

Duration of this webinar: 60 minutes

Originally broadcast: October 3, 2025 10:00 AM PT

Webinar Highlights

This webinar is divided into section summaries, which you can scan for key points and then dive into the sections that interest you the most.

00:00 Introduction

Eran Kahana, an expert in AI, cybersecurity, and intellectual property law, is introduced as the speaker. Eran shares his background in AI, noting its evolution and the growing importance of privacy and cybersecurity in the field. He discusses the duality between AI and law, emphasizing the need for legal adjustments to accommodate AI advancements.

06:00 AI and Legal Practice

Eran reflects on the transformative impact of AI models like GPT-3.5 on his practice, emphasizing the importance of AI literacy. He highlights the growing interest in AI among lawyers, contrasting it with the initial skepticism he faced. He stresses the need for continuous learning to achieve AI literacy, aligning with ABA guidelines. Eran introduces the concept of data dimensions and the AI lifecycle core principles, encouraging attendees to explore his handout.

11:10 Governance and Standards

Eran emphasizes the importance of governance in managing AI, describing it as the most critical principle for successful implementation. He discusses the alignment of governance with international and NIST standards. Eran highlights specific ISO standards relevant to AI management and impact assessment, noting their inclusion in state laws. He encourages attendees to reflect on their understanding of AI and cybersecurity risks. Eran invites attendees to connect with him for further discussion and introduces the agenda for the webinar.

15:44 Generative AI and Privacy Risks

Generative AI is transforming legal practice by automating tasks like document drafting and legal research. Eran references ABA guidance on generative AI, highlighting its importance for legal professionals. He notes the importance of making AI part of the daily routine and stresses that AI integration should be enjoyable. Eran outlines privacy risks associated with generative AI, emphasizing the need for vigilance. He explains the "power of augmentation" framework for assessing these risks, noting that AI augments the four dimensions of speed, scale, scope, and sophistication.

42:00 Cybersecurity Vulnerabilities

Eran discusses the importance of standards from NIST and ISO in managing AI risks. He highlights the role of the NIST Cybersecurity Framework in effective risk management. Eran emphasizes the need for organizations to adopt these frameworks to demonstrate diligence. He discusses various cybersecurity vulnerabilities, including data poisoning and prompt injection attacks. Eran stresses the importance of incident response planning and integrating AI-specific risks into these plans.

53:00 ABA Guidance and Risk Management

Eran discusses the ABA's guidance on AI, emphasizing the need for continuous study and education. He highlights the importance of AI literacy for maintaining competence in legal practice. Eran discusses client confidentiality and the need for secure communication protocols. He advises on fee structures, suggesting project-based work as an alternative to hourly billing. Eran emphasizes the importance of governance and vendor due diligence in risk management. He invites attendees to connect with him for further discussion and questions.

Please note this AI-generated summary provides a general overview of the webinar but may not capture all details, nuances, or the exact words of the speaker. For complete accuracy, please refer to the original webinar recording.

Continuing Legal Education (CLE) Credits

*CLE credit is only available to Justia Connect Pros. Not a Pro? Upgrade today>>

California CLE

Status: Approved

Credits: 1.00 Technology in the Practice of Law

Earn Credit Until: June 30, 2026

New Jersey CLE

Status: Approved

Credits: 1.20 Ethics/Professionalism

Earn Credit Until: October 2, 2026

North Carolina CLE

Status: Approved

Credits: 1.00 Technology Training

Earn Credit Until: February 28, 2026

South Carolina CLE

Status: Approved

Credits: 1.00 Legal Ethics/Professional Responsibility

Difficulty: All Levels

Earn Credit Until: December 31, 2025

Texas CLE

Status: Approved

Credits: 1.00 Legal Ethics/Professional Responsibility

Earn Credit Until: September 30, 2026

This presentation is approved for one hour of Technology in the Practice of Law CLE credit in California, one hour of Technology Training CLE credit in North Carolina, and one hour of Legal Ethics/Professional Responsibility CLE credit in South Carolina (all levels). This program has been approved by the Board on Continuing Legal Education of the Supreme Court of New Jersey for 1.20 hours of total CLE credit. Of these, 1.20 qualify as total hours of credit for Ethics/Professionalism. This course has been approved for Minimum Continuing Legal Education credit by the State Bar of Texas Committee on MCLE in the amount of 1.00 credit hours, of which 1.00 credit hours will apply to Legal Ethics/Professional Responsibility credit.

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Speaker

Eran Kahana Counsel & Fellow
Maslon LLP

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. Read More ›

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