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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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15 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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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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DAT-02
Data Inventory & Classification Methodology
Classify every data asset by sensitivity level, assign AI processing permissions by classification, and build the governance record that proves Defensible AI adoption.
Module
Initial build 4–6 weeks; quarterly updates 1–2 days; annual review 3–5 days
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DAT-03
Vendor Data Protection Obligations
Canonical checklist for reviewing and negotiating AI vendor data protection agreements.
Module
3–6 hours per vendor engagement, depending on complexity and negotiation cycles
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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-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-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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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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STR-07
AI Task Force Charter
Stand up the AI governance body that owns strategy, AI BoM oversight, and DPS production for the legal department.
Module
Initial setup 90 days; ongoing 2–4 hours/month per core member plus quarterly reviews.
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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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VEN-01
Vendor Evaluation Operating Methodology
Operates the canonical pre-procurement vendor evaluation methodology, gating Legal AI tools through Pass/Fail controls and five-dimension weighted scoring against Risk Taxonomy 2026.
Module
12-week evaluation cycle per vendor engagement, with 2–4 hours per week from core team
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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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