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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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14 Modules
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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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-05
AI Incident Response Playbook
Detect, classify, escalate, and resolve AI incidents across all nine Risk Taxonomy 2026 classes — the playbook that closes the governance loop.
Module
Per incident; 15 minutes to activate; resolution timeline by severity; PIR within 30 days for Level 1–2
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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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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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MEA-07
ROAI Telemetry
Tracks and visualises ROAI across four value dimensions — operational, financial, client, and strategic — to justify and optimise AI investment in legal departments.
Module
Initial build 12 weeks; then continuous operation with weekly, monthly, and quarterly review cycles
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SUS-05
Annual AI Audit Methodology
The canonical annual governance audit instrument for deployed legal AI — validates compliance, bias, and performance across all active AI systems and produces the DPS annual evidence refresh.
Module
6 weeks per annual cycle (1 week planning, 3 weeks assessment, 1 week analysis, 1 week reporting)
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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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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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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-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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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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