Two-Track Robustness Templates for Legal AI Governance (Structure-Only, Non-Operational)

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Authors: W. H. Brueckner
Cited by: 0

Abstract

Structure-only templates for legal AI governance implementing a one-prompt interface with an invisible robustness track.The artifacts define assumption discipline, fail-closed behavior, and audit-ready outputs without providing legal advice or operational guidance.Variants cover big-law, defense prime, and multinational alliance governance contexts

Fields of Study & Subjects

Artificial Intelligence in Law Ethics and Social Impacts of AI Digitalization Law and Regulation

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
4 February 2026
Language
EN