Generative AI: Generating Increasing Cyber Security Risks for Lawyers, Law Firms & Clients

This critical program addresses the expanding cybersecurity threats that generative AI presents to legal practitioners, designed for attorneys, law firm administrators, and in-house counsel responsible for risk management and data protection in an AI-driven legal environment. As generative AI technology becomes increasingly sophisticated and accessible, cybercriminals are exploiting these tools to create more convincing phishing attacks, deepfakes, and social engineering schemes that specifically target the legal profession's sensitive client data and privileged communications. The program examines how AI-powered attacks compromise traditional security measures and create new vulnerabilities across brand integrity, intellectual property, confidentiality, privacy protection, and operational security.

Led by cybersecurity and technology law experts Jon Mechanic and Joseph Rosenbaum, this comprehensive program provides practical guidance on identifying, preventing, and responding to AI-enhanced cyber threats that affect legal practice. Participants will explore real-world case studies of AI-driven attacks, including deepfake CEO fraud schemes, algorithmic bias in legal systems, and the inadvertent disclosure of privileged information through AI platforms. The program covers essential risk mitigation strategies, from implementing secure AI usage policies to ensuring compliance with emerging regulatory frameworks across multiple jurisdictions, enabling legal professionals to harness AI's benefits while protecting themselves and their clients from its evolving security risks.

Learning Objectives:

1. Identify and analyze the primary cybersecurity risks that generative AI poses to legal practices, including social engineering attacks, deepfake fraud schemes, and the unauthorized exposure of privileged communications through AI platforms
2. Evaluate the impact of AI-driven threats on law firm operations, assessing vulnerabilities in areas such as client confidentiality, intellectual property protection, financial security, and professional liability exposure
3. Develop comprehensive AI security policies and protocols for law firms, including guidelines for secure AI platform usage, employee training requirements, and incident response procedures for AI-related security breaches
4. Implement compliance frameworks for AI usage that address professional responsibility obligations, regulatory requirements across multiple jurisdictions, and evolving disclosure obligations for AI-generated legal work product
5. Apply risk mitigation strategies to protect against algorithmic bias, data privacy violations, and professional malpractice claims arising from AI usage, while maintaining the confidentiality and privilege protections essential to legal practice