Abstract

The regulation of artificial intelligence in legal practice sits at the intersection of three distinct but overlapping regulatory regimes: professional responsibility rules governing attorney conduct, general AI governance frameworks emerging at the state and federal level, and sector-specific regulations applicable to the substantive areas of law in which AI tools are deployed. This fragmentation creates significant compliance uncertainty for law firms, legal technology vendors, and the clients they serve.

This paper maps the current regulatory architecture governing legal AI and identifies the structural gaps, conflicts, and ambiguities that practitioners must navigate. We examine how bar association ethics opinions, court rules on AI disclosure, state AI legislation, and federal agency guidance interact — and frequently conflict — in ways that create compliance risk for attorneys who deploy AI tools in good faith.

We propose a unified analytical framework — the Legal AI Regulatory Stack — that organizes applicable obligations by layer: the tool layer (vendor obligations), the deployment layer (firm obligations), and the practice layer (attorney obligations). This framework enables practitioners to identify which regulatory requirements apply at each level of AI deployment and to structure compliance programs accordingly. The paper concludes with recommendations for regulatory harmonization and the development of safe harbor provisions for attorneys who implement reasonable AI governance practices.

Full Paper

This paper is published on the Social Science Research Network (SSRN). To read the full text, download the PDF, or cite this work, please visit the SSRN abstract page:

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Published: May 2026 — Authors: Austin, Morris & Das — View all research papers