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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.
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38 Modules
SUS-03
AI Market Scan Radar
Systematically monitor the evolving legal AI market quarterly — tracking vendor developments, funding events, and emerging technology innovations — with Risk Taxonomy 2026 vendor risk assessment and Agentic Tier evaluation criteria for Level 4 tool announcements.
Module
Quarterly scan cycle: 4–6 hours for structured analysis; monthly trend monitoring: 1–2 hours
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SUS-04
Vendor Exit Methodology
Plan and execute legal AI vendor exits — from lock-in risk assessment through data migration and contract termination — with Risk Taxonomy 2026 exit trigger classification and Agentic Tier shutdown protocol for Level 4 tools.
Module
Annual review: 4–6 hours per vendor; triggered exit execution: 8–20 weeks depending on integration complexity
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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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TAL-03
AI Champion Network Guide
Continuous-operation guide for selecting, training, and deploying AI Champions who accelerate peer adoption, verify AI BoM compliance before tool advocacy, and execute the Class 6 Shadow AI Champion Protocol as the legal department's first-line detection network.
Module
Initial design and launch: 4–6 weeks; ongoing operation: 4–6 champion hours per month plus quarterly reviews.
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TAL-04
Role Evolution Pathways
Designs and implements AI-enabled role architectures, skills pathways, and compensation structures for legal departments.
Module
6–12 weeks for initial design; 18+ months for full rollout and optimisation
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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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USE-03
Baseline Metrics Methodology
Establishes pre-implementation performance benchmarks across four measurement dimensions to enable objective ROAI demonstration and AI optimisation for legal departments.
Methodology
Approx. 18-week baseline sprint per engagement; re-baseline on major process or organisational change.
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USE-06
Continuous Improvement Cycle
Track AI performance, feedback, and continuous improvement cycles systematically — with Risk Taxonomy 2026 risk class metrics dashboard, Agentic Tier ongoing monitoring provisions, and ROAI quadrant performance tracking.
Module
Ongoing: weekly check-ins (30 min), monthly reviews (2–4 hours), quarterly strategic sessions (half-day)
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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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VEN-04
Vendor Security & Compliance Posture
Canonical security and compliance validation checklist for legal AI vendor evaluation and internal governance.
Module
1–2 days per new vendor; 2–4 hours per vendor for annual 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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