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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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13 Modules
BUS-01
Business Case and Cost of Inaction
The foundational investment approval instrument that quantifies legal AI's cost of inaction, builds CFO-grade ROAI projections, and authorises the governance and measurement machinery.
Module
2–4 weeks for first full build; 1–2 days for annual refresh
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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-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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STR-02
AI Strategy Canvas
Facilitated canvas to define legal’s AI vision, ambition, ROAI targets, and augmentation roadmap.
Module
4–8 hour facilitated workshop plus 2-week stakeholder sign-off cycle
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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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TAL-01
AI Literacy Curriculum Architecture
Canonical training framework to build Defensible AI competency across all legal department roles.
Module
Foundational rollout: ~42 hours total across all tracks; ongoing: 4–8 hours per role annually for refresh and new tools.
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USE-01
Use Case Prioritization Methodology
The strategic use case selection instrument that evaluates AI opportunities across five dimensions including Risk Taxonomy 2026, gates vendor adoption via AI BoM, and connects the deployed portfolio to DPS Adoption lens evidence.
Module
4–6 hours initial workshop; 2–3 hours per 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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VEN-02
Vendor RFP Methodology
Structured RFP template for procuring legal AI solutions with defensible, risk-aware evaluation.
Module
2–4 weeks to draft and issue; 4–8 weeks for full RFP cycle depending on complexity.
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VEN-03
Vendor PoC Testing Methodology
Structured four-phase POC methodology to validate legal AI vendor claims through real-world workflow simulation
Module
4–10 weeks per vendor (standard POC); 8–12 weeks for Agentic Tier or high-risk evaluations
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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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