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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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35 Modules
BUS-01
Business Case and Cost of Inaction
The foundational investment approval instrument that quantifies legal AI's cost of inaction, builds CFO-grade ROAI projections, and authorises the governance and measurement machinery.
Module
2–4 weeks for first full build; 1–2 days for annual refresh
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CHG-01
Change Management Architecture
5-step change management framework for human-centred legal AI adoption and cultural transformation
Module
18-week initial rollout; quarterly reinforcement and annual refresh aligned with SUS-05.
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CLI-01
Client Disclosure and Consent Guidelines
Client disclosure and informed consent framework for transparent AI use in legal engagements
Module
1–2 hours per new matter; 30 minutes per material AI change
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COM-01
Sponsorship Communication Plan
Stakeholder communication framework for legal AI transformation sponsorship and change management
Module
Initial design 1–2 weeks; 2–4 hours per month for ongoing execution and review.
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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-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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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-03
Vendor Data Protection Obligations
Canonical checklist for reviewing and negotiating AI vendor data protection agreements.
Module
3–6 hours per vendor engagement, depending on complexity and negotiation cycles
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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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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-01
Defensible AI Governance Framework
Establish the governance structure, policy suite, and risk register that make Legal AI defensible to boards and regulators.
Module
2–4 weeks first run; 1 day annual review
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GOV-02
AI Use Policy
Define what AI use is permitted, prohibited, and supervised across the legal department — the operational policy that makes AI governance real.
Module
Initial deployment 2–4 weeks; 1 day for annual 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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