Two-Track Robustness Templates for Legal AI Governance (Structure-Only, Non-Operational)
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
Authors
- W. H. Brueckner
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-02-04
- DOI
- https://doi.org/10.5281/zenodo.18488223
- Primary Topic
- Ethics and Social Impacts of AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00