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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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58 Modules
GOV-16
Materiality Calibration Methodology
Per Tier 3+ capability: which decisions require Full HITL, Exception-triggered HITL, or Audit-only — calibrated quarterly as performance and regulatory context evolve.
Module
3 hours first run per capability; 1 hour quarterly refresh
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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-01
Maturity Grid
The canonical Year-1 maturity instrument — plots organisational Adoption against AI Sophistication on a 5×4 grid to produce a defensible quarterly position and Maturity Stack-linked progression evidence.
Module
1–2 days for baseline; 0.5 day per quarterly review; 1 day annual strategic refresh
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MAT-02
Legal AI Readiness Baseline
The canonical 8-pillar readiness diagnostic that captures baseline maturity across all Legal AI OS transformation dimensions and maps current position to the MAT-01 2D maturity grid.
Module
1–2 days for full baseline; 0.5 day for quarterly review; 1 day for annual re-baseline
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MAT-03
Maturity Gap Analysis
Structured 6-step gap analysis to map current vs. target Legal AI maturity, risk exposure, and roadmap.
Module
2–4 days for baseline; 1 day for quarterly and annual refreshes
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MAT-04
Quarterly Maturity Review
Track AI transformation progress, ROAI realisation, and compliance status across all eight pillars every quarter.
Diagnostic input
4–6 hours per quarterly cycle once established
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MAT-05
Peer Benchmarking Methodology
Compare your organisation’s legal AI maturity, ROAI realisation, and risk class exposure against industry peers and top-quartile performers.
Diagnostic input
4–6 hours per quarterly cycle; 1 working day for annual review consolidation
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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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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-03
Risk Matrix — Use Case × Risk Taxonomy 2026 × Likelihood
Systematic risk-scoring framework for AI legal use cases aligned to Risk Taxonomy 2026.
Methodology
3–6 hours per use case; 2–3 days for full portfolio review
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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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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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