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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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58 Modules
USE-03
Baseline Metrics Methodology
Establishes pre-implementation performance benchmarks across four measurement dimensions to enable objective ROAI demonstration and AI optimisation for legal departments.
Methodology
Approx. 18-week baseline sprint per engagement; re-baseline on major process or organisational change.
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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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VAL-01
ROAI Matrix Framework
Measure and demonstrate the return on AI investment across four value dimensions — operational, financial, cultural, and strategic — with direct linkage to the DPS Defensibility lens.
Module
Initial setup 2–4 weeks; 1–2 days per quarter for updates and reporting
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VEN-01
Vendor Evaluation Operating Methodology
Operates the canonical pre-procurement vendor evaluation methodology, gating Legal AI tools through Pass/Fail controls and five-dimension weighted scoring against Risk Taxonomy 2026.
Module
12-week evaluation cycle per vendor engagement, with 2–4 hours per week from core team
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VEN-02
Vendor RFP Methodology
Structured RFP template for procuring legal AI solutions with defensible, risk-aware evaluation.
Module
2–4 weeks to draft and issue; 4–8 weeks for full RFP cycle depending on complexity.
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VEN-03
Vendor PoC Testing Methodology
Structured four-phase POC methodology to validate legal AI vendor claims through real-world workflow simulation
Module
4–10 weeks per vendor (standard POC); 8–12 weeks for Agentic Tier or high-risk evaluations
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VEN-04
Vendor Security & Compliance Posture
Canonical security and compliance validation checklist for legal AI vendor evaluation and internal governance.
Module
1–2 days per new vendor; 2–4 hours per vendor for annual review
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VEN-05
Vendor Technology Landscape
Maps the legal AI vendor landscape across 19 categories, providing quarterly intelligence, Risk Taxonomy 2026 vendor classification, and Agentic Tier governance for technology stack decisions.
Module
1–2 days per quarterly refresh; 3–5 days for annual full-scope review
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VEN-06
Total Cost of Ownership Methodology
Provides a five-dimensional TCO framework for legal AI vendor evaluation, incorporating Risk Taxonomy 2026 cost mapping, Agentic Tier cost premiums, Class 6 Shadow AI hidden costs, and ROAI-based investment decisions.
Methodology
1–2 days for initial build per vendor; 3–4 hours for annual refresh and renewal decisions
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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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