Module 1
Evidence & Coverage
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Action required · 5 missing
Collect these Legal Tech artifacts to unlock scoring
Model / AI System Documentation
model_ai · Anchors AI claims to evaluated model behavior, not marketing language.
Data Handling & Privacy Policy
data_privacy · Demonstrates defensible posture for personal and regulated data across training and inference.
Financial & Unit Economics
financial · Reveals whether the cost-per-inference supports the commercial model at scale.
Attorney-Client Privilege & Confidentiality Policy
privilege_handling · Privileged content passing through shared infrastructure is the sector's highest-impact tail risk.
Citation Accuracy & Hallucination Audit
citation_audit · Fabricated citations in legal deliverables have produced sanctions and market-visible brand damage.
Industry-Calibrated Coverage
Legal Tech
Law firm tooling, contracts, compliance, e-discovery
Coverage
23%
3 of 13 industry-standard artifacts provided
Required Gaps
5
Required artifacts absent for Legal Tech
Regulatory Lens
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| Artifact | Priority | Regulatory | Status | Action | |
|---|---|---|---|---|---|
Pitch Deck / Investor Materials Establishes the commercial thesis and the claims that diligence must validate against the architecture and data reality. | Required | — | Provided | 1 file | ▸ |
Product Architecture Documentation Translates commercial promises into verifiable infrastructure, model-routing, and tenancy decisions. | Required | — | Provided | 1 file | ▸ |
Security & Compliance Attestations Third-party attestations establish the governance floor and surface gaps in operational maturity. | Required | — | Processing | ▸ | |
Model / AI System Documentation Anchors AI claims to evaluated model behavior, not marketing language. | Required | EU AI Act, NIST AI RMF | Missing | ▸ | |
Vendor & API Dependency Inventory Quantifies concentration risk and surfaces silent single points of failure in the AI supply chain. | Required | — | Provided | 1 file | ▸ |
Data Handling & Privacy Policy Demonstrates defensible posture for personal and regulated data across training and inference. | Required | GDPR, CCPA | Missing | ▸ | |
Financial & Unit Economics Reveals whether the cost-per-inference supports the commercial model at scale. | Required | — | Missing | ▸ | |
Sample Customer Contracts Contractual commitments often carry more risk than the marketing claims — SLAs, indemnities, and data rights. | Recommended | — | Missing | ▸ | |
Incident Log & Post-Mortems Mature teams run clean post-mortems; absence is itself a signal. | Recommended | — | Missing | ▸ | |
Technical Leadership Bios Key-person risk is under-diligenced in AI companies where a handful of engineers carry architectural knowledge. | Recommended | — | Missing | ▸ | |
Product Demo Recordings Live product behavior often diverges from curated investor demos — reveals real latency, UX, and guardrails. | Recommended | — | Processing | ▸ | |
Attorney-Client Privilege & Confidentiality Policy Privileged content passing through shared infrastructure is the sector's highest-impact tail risk. | Required | ABA Model Rules 1.6, 5.3 | Missing | ▸ | |
Citation Accuracy & Hallucination Audit Fabricated citations in legal deliverables have produced sanctions and market-visible brand damage. | Required | — | Missing | ▸ |