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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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35 Modules
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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TAL-06
AI Literacy Curriculum Map
Defines the organisation's AI literacy curriculum, role-based learning paths, and competency verification framework aligned to EU AI Act Article 4.
Module
Tier 1: ~2 hours; Tier 2: 4–6 hours; Tier 3: 12–16 hours; Tier 4: 20–24 hours; annual refresh: 2–4 hours per tier.
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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-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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USE-07
Shadow AI Discovery and Conversion Playbook
Provides the discovery methodology, governance gap analysis, and conversion or retirement pathway for unregistered AI tools operating in the organisation.
Module
Discovery sweep 2–3 weeks per quarterly cycle; 1–3 business days per tool assessment; 2–6 weeks per tool conversion pathway.
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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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VEN-05
Vendor Technology Landscape
Maps the legal AI vendor landscape across 19 categories, providing quarterly intelligence, Risk Taxonomy 2026 vendor classification, and Agentic Tier governance for technology stack decisions.
Module
1–2 days per quarterly refresh; 3–5 days for annual full-scope 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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