AI, Real Consequences: Ethical Duties in a Synthetic Era

Join our experts for this discussion on the intersection between AI and legal ethics.

We will explore the ethical implications outlined by the ABA Model Rules including maintaining competency (Rule 1.1), ensuring confidentiality (Rule 1.6), and effective supervision (Rule 5.1).

The course will also address potential sanctions for unethical AI practices, the ethical application of AI in legal research, and much more!

Key learning outcomes include:

• Understanding AI Fundamentals: Differentiate between AI, machine learning, deep learning, extractive AI, and generative AI, comprehending their mechanisms and implications for legal work.
• Ethical Competence (Model Rule 1.1): Learn how to maintain competency in a synthetic era, critically evaluating AI-generated content, verifying sources, and avoiding reliance on fictitious information.
• Client Confidentiality (Model Rule 1.6): Grasp the duties to protect client data when using AI tools, understanding data privacy, security protocols, and asking critical questions about how AI platforms handle sensitive information.
• Supervisory Responsibilities (Model Rule 5.1): Develop strategies for managing and supervising staff on AI usage, including establishing firm-wide AI policies and ensuring compliance with ethical standards to prevent sanctions and maintain professional integrity.
• Responsible AI Integration: Explore practical, ethical ways to integrate AI into your workflow, from research and drafting to client communication, ensuring efficiency without compromising professional obligations.

This course equips legal professionals with the knowledge and tools to confidently navigate the ethical challenges of AI, ensuring that technology serves as an asset, not a liability, in your practice. Master the ethical duties essential for thriving in our new synthetic era.