France | Regulatory Framework
Status:
Effective: N/A
high Deontological vigilance for judges and lawyers using generative AI tools
Generative AI and deontological vigilance in the professional practice of judges and lawyers and their teams
I. Regulatory Summary
For judges and lawyers, the document supports immediate implementation of guardrails around generative AI use: mandatory verification, confidentiality controls, tool vetting, and training. It reduces deontological and professional risk stemming from hallucinations, bias, and data leakage.
II. Full Description
This document, prepared by the joint deontology advisory council for the magistrate–lawyer relationship, outlines practical risks and good practices for legal professionals using generative AI. It lists typical use cases (e.g., legal research, drafting) and focuses on risks such as inaccurate or fabricated citations, bias, insufficient explainability, confidentiality breaches, and over-reliance. It then proposes a set of baseline deontological practices to ensure human oversight, verification, and secure handling of information.
III. Scope & Application
Non-binding deontological guidance for judges, lawyers, and their teams on using generative AI tools in legal practice. It identifies risks (e.g., hallucinations, bias, confidentiality breaches, loss of critical thinking) and sets a minimum baseline of shared good practices to preserve independence, trust, and human control in justice-related work.
IV. Policy Impact Assessment
For judges and lawyers, the document supports immediate implementation of guardrails around generative AI use: mandatory verification, confidentiality controls, tool vetting, and training. It reduces deontological and professional risk stemming from hallucinations, bias, and data leakage.
Primary Focus: legal_profession_ethics_generative_ai