Legal Ethics and Generative AI: Reasoning Models, Agents, and Emerging Risks (Preview)

Generative AI is reshaping legal practice at an unprecedented pace, bringing both powerful opportunities and complex ethical responsibilities. In this course, Eran Kahana of Maslon LLP introduces attorneys to the core concepts behind reasoning models, AI agents, and the fast-evolving systems now driving modern legal workflows. Drawing from ABA Formal Opinion 512 and his academic work on the AI Lifecycle Core Principles Framework, Kahana explains why ethical competence requires understanding how these tools function, where they fail, and how to continuously evaluate their capabilities and limitations.

The course goes beyond typical discussions of hallucinations to examine bigger risks: model drift, over-reliance on chain of thought reasoning, agency-level autonomy, data privacy vulnerabilities, and the ways AI can distort scale, speed, and confidentiality. Kahana also breaks down best practices for using generative AI responsibly, such as developing strong prompting skills, supervising outputs, vetting model cards, conducting risk assessments, and understanding when AI-powered efficiencies create new obligations rather than shortcuts. Attorneys will leave with a grounded, practical understanding of how to work with rapidly changing AI systems, maintain ethical compliance, and guide clients and colleagues through the next era of legal technology.

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