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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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12 Modules
DAT-04
Data Minimization Methodology
Apply data minimization across every stage of the AI data lifecycle, govern shadow AI through the canonical Class 6 protocol, and build the evidence record that proves Defensible AI.
Module
Initial rollout 4–6 weeks; continuous monitoring with monthly and quarterly checkpoints
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DAT-05
Integration Architecture
Per-engagement blueprint for integrating legal department systems with AI tools through a three-tier architecture with canonical Agentic Tier API provisions, Class 6 Shadow AI detection controls, and Risk Taxonomy 2026 cross-walk.
Module
6–12 months for initial rollout; 1–2 weeks for annual review and major change assessments.
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GOV-09
AI Evaluation Harness Specification
Specifies the standardised evaluation methodology, test suites, and pass thresholds for all AI tools before deployment and during ongoing operation.
Module
Initial evaluation 3–5 business days per tool (Tiers 0–2); 7–10 business days for Tier 3–4 including agentic supplement. Ongoing monitoring is continuous.
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GOV-10
AI Lifecycle Operating Manual
Maps the complete AI tool lifecycle from identification through retirement, integrating every governance module into a single coherent operational sequence.
Module
Stage 1–4 (Tiers 0–2): 2–5 business days per tool. Stage 1–4 (Tiers 3–4): 5–10 business days. Stage 5–6: Ongoing. Stage 7 standard: 2–4 weeks. Stage 7 emergency: 24–72 hours active response.
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INS-01
AI Liability & Insurance Posture
Assess professional liability exposure, insurance coverage gaps, and vendor indemnification adequacy for AI tools across the Risk Taxonomy 2026 nine-class framework.
Module
1–2 days initial per tool; 2–4 hours per tool at renewal or quarterly review
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MAT-06
Board AI Reporting Architecture
Provides the structured report framework for presenting AI governance performance, risk posture, and maturity progression to the Board or Governing Partners.
Module
Report preparation: 2–4 days per quarterly cycle; 5–7 days for first report; 5–10 days for annual report.
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SUS-01
Vendor Performance Review Cycle
Evaluate AI vendor performance quarterly across five weighted dimensions with Risk Taxonomy 2026 mapping and Agentic Tier governance checks.
Module
3–4 hours per vendor per quarter once established
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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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SUS-06
Technology Sunsetting Plan
Formalises how legal teams retire AI and legacy tools in a defensible, low-risk way.
Module
Typical engagement: 12–24 weeks end-to-end, depending on system criticality and data volume.
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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-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-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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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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