Data Privacy and Cybersecurity: Legal Issues When Using Generative Artificial Intelligence Tools

The program focuses on the legal, ethical, and regulatory considerations arising from the use of generative artificial intelligence tools in professional practice. It examines the practical risks associated with these technologies, including data privacy and confidentiality concerns, cybersecurity vulnerabilities, and the potential exposure of sensitive client and organizational information when AI systems are integrated into legal and business workflows.

Attendees will explore how existing legal obligations apply to emerging AI tools, including duties related to competence, supervision, confidentiality, and safeguarding client data. The session also addresses how these technologies may affect internal compliance structures, risk management protocols, and decision-making processes within legal and corporate environments.

In addition, the program provides a structured approach to evaluating AI tools prior to adoption, including considerations related to vendor risk, data handling practices, and appropriate use policies. It further highlights practical strategies for implementing safeguards that support responsible use while maintaining compliance with applicable professional and regulatory standards.

This program is designed for attorneys, compliance professionals, and information technology personnel who evaluate, oversee, and implement emerging technologies within their organizations.

Learning Objectives: 

1. Identify and understand how various generative artificial intelligence programs operate, and prepare participants to face the legal challenges these tools present.  To identify and understand the current legal requirements concerning the specific generative artificial intelligence technologies that threaten data security.
2. Evaluate the key legal challenges in generative AI, including data ownership, privacy, security, and data breaches.
3. Analyze and implement effective legal strategies to remediate complex data security challenges.