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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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4 Modules
DAT-01
Data Governance Architecture
Establishes the foundational data governance policies for legal AI, covering classification, vendor data protection, Shadow AI governance, regulatory compliance, and Agentic Tier data provisions.
Module
3–6 weeks for initial framework; 1–2 weeks for annual review and updates
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GOV-03
AI Risk Register
Apply the Risk Taxonomy 2026 to identify, score, and mitigate AI risks across nine canonical classes — the register that makes your governance defensible.
Module
Initial setup 4–6 weeks; 2–4 hours per quarterly review cycle
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GOV-15
Governance Operating Cadence
Committee calendar mapped to AI Lifecycle stages — Concept intake through Sunset closure — with standing agenda, quorum, and gate evidence requirements.
Module
One-time setup 3 hours; standing committee meetings 60–90 minutes per cadence
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SUS-10
Capability Portfolio Architecture
Every AI capability the function operates, classified by Lifecycle stage — the GC's situational awareness at a glance and the portfolio input for the Defensibility Posture Statement.
Module
2 hours first run; 30 minutes quarterly refresh
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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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