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The operational capability layer of the Legal AI OS.
Modules are the institutional artefacts a legal function runs to advance maturity, produce Defensibility evidence, and operate on canonical ground in front of a regulator or a board. Anchored across the 8 Pillars and 6 Operating Layers. Methodology-versioned. Editorially independent.
PILLAR
AUDIENCE
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5 Modules
CLI-01
Client Disclosure and Consent Guidelines
Client disclosure and informed consent framework for transparent AI use in legal engagements
Module
1–2 hours per new matter; 30 minutes per material AI change
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GOV-01
Defensible AI Governance Framework
Establish the governance structure, policy suite, and risk register that make Legal AI defensible to boards and regulators.
Module
2–4 weeks first run; 1 day annual review
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GOV-02
AI Use Policy
Define what AI use is permitted, prohibited, and supervised across the legal department — the operational policy that makes AI governance real.
Module
Initial deployment 2–4 weeks; 1 day for annual review
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GOV-04
Bias Testing & Monitoring Methodology
Pre-deployment bias test and continuous fairness monitoring checklist for legal AI systems
Module
Pre-deployment testing: 2–4 weeks per AI system; continuous monitoring: ongoing; quarterly audit: 1–2 days
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INS-01
AI Liability & Insurance Posture
Assess professional liability exposure, insurance coverage gaps, and vendor indemnification adequacy for AI tools across the Risk Taxonomy 2026 nine-class framework.
Module
1–2 days initial per tool; 2–4 hours per tool at renewal or quarterly review
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Advisory
The full operating system in one Programme.
Programme Design and Strategic Retainer engagements operate the canonical Module sequence end-to-end — Defensibility evidence produced, Maturity progression evidenced quarterly, methodology version pinned. The Module Library is the artefact; the engagement is the operating posture.
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