Home → Module Library
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
+ More filters– Fewer filters1 active
3 Modules
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
View →
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
View →
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
View →
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.
View Engagement Models