Artificial Intelligence Liability: Implications and Best Practices for Legal Professionals and AI Developers

Artificial Intelligence Liability: Implications and Best Practices for Legal Professionals and AI Developers

Alvin Sherman Library

The rapid integration of artificial intelligence into the legal profession has transformed legal research, drafting, and decision-making, while simultaneously introducing novel ethical, regulatory, and liability risks. As attorneys increasingly rely on generative AI systems, concerns surrounding hallucinations, bias, confidentiality breaches, and deceptive outputs have exposed both legal professionals and AI developers to heightened scrutiny. This presentation examines the current and emerging landscape of artificial intelligence liability in the United States, with particular attention to the absence of a comprehensive federal regulatory framework and the constitutional controversy surrounding Executive Order 14179 and its preemption of state AI legislation. By analyzing federal initiatives, comparative frameworks such as the European Union Artificial Intelligence Act, and existing professional responsibility standards enforced through the American Bar Association, this presentation distinguishes the evolving obligations of AI providers and legal deployers. It evaluates how liability is allocated in litigation arising from AI-generated errors, emphasizing that attorneys remain accountable for court submissions under existing ethical rules. While developers are foreseen to face increasing exposure under product liability and consumer protection theories as AI integration progresses. Finally, the presentation proposes best practices for mitigating AI-related liability for both legal professionals and AI providers, including enhanced verification protocols, confidentiality safeguards, disclosure requirements, incident response planning, and transparency in system design. In the absence of unified federal standards, this analysis underscores the importance of proactive compliance, ethical awareness, and risk management to ensure responsible AI adoption within the legal field.