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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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14 Modules
ADM-01
Adoption Telemetry
Continuous measurement framework tracking AI training completion, adoption progress, AI BoM coverage, Class 6 governance incidents, and ROAI attribution across Protect, Comply, Grow, and Transform quadrants, producing DPS-grade evidence for the legal AI programme.
Telemetry source
Initial setup 4–8 weeks; continuous monitoring with weekly and monthly reporting cycles
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COT-01
Continuous Optimization Cycle
Systematically capture AI performance feedback, map signals to Risk Taxonomy 2026 classes, and execute ROAI-attributed optimization cycles across the legal department's AI portfolio.
Module
Initial setup 2–4 weeks; continuous telemetry; monthly analysis; quarterly planning and review (0.5–1 day per quarter).
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DAT-02
Data Inventory & Classification Methodology
Classify every data asset by sensitivity level, assign AI processing permissions by classification, and build the governance record that proves Defensible AI adoption.
Module
Initial build 4–6 weeks; quarterly updates 1–2 days; annual review 3–5 days
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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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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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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-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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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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