The scholars are directing their proposal at courts, regulators, lawmakers, and legal professionals. Their framework overlaps with concurrent policy discussions around AI certification, mandatory disclosure, human oversight requirements, risk-based regulation, and clearer liability standards for legal AI systems. The specific details of their governance model remain limited in available reporting.
The proposal arrives amid a 2025–2026 policy debate over whether AI requires entirely new legislation or whether existing frameworks can be adapted. This work distinguishes itself by treating legal AI not as a theoretical future concern but as a present reality demanding immediate guardrails. For practitioners, the timing matters: as AI tools proliferate among lawyers and judges, the question of how to regulate them—and who bears liability when they fail—is moving from academic speculation to legislative priority. Attorneys should monitor whether this framework gains traction with policymakers, as sector-specific AI rules could reshape compliance obligations and malpractice exposure within the profession.