Court System AI Vendor Assessment: A 2026 Framework

Court systems evaluating AI vendors need a structured assessment framework. This article catalogs a working 2026 framework based on observed state court procurements.

Framework components

1. Capability assessment
2. Security and compliance review
3. Vendor track record
4. Cost and procurement analysis
5. Pilot evaluation

For each component, define:

• Specific criteria
• Weight in overall decision
• Pass/fail thresholds
• Sources of evidence

Capability assessment dimensions

• Citation accuracy (target >95%)
• Retrieval precision@10 (target >85%)
• Hallucination rate (target <2%)
• Latency p95 (target <2s)
• Coverage of jurisdiction-specific corpus
• Multi-language support

Security and compliance review

• BAA coverage (HIPAA)
• SOC 2 Type II
• SOC 2 Type III (if available)
• Data residency
• Audit log access
• Breach history
• Penetration test results

Vendor track record

• Existing similar deployments
• Reference customers
• Tenure (>3 years preferred)
• Team stability
• Financial stability

Cost and procurement analysis

• Per-seat pricing
• Per-query pricing
• Enterprise discounts
• Implementation cost
• Maintenance cost
• Migration cost (if switching)

Pilot evaluation

• Define 60-90 day pilot scope
• Identify eval framework
• Track metrics weekly
• Lawyer satisfaction survey
• Equity audit

Final scoring

• Weighted score combining capabilities, security, track record, cost
• Pass/fail on security minimums
• Pilot results override any pre-pilot scoring

Acknowledgments

This article summarizes state court procurement documents 2024-2025, ABA Formal Opinion 533, NIST AI RMF.

Dillon Deutsch has worked with state courts on AI vendor assessment. https://courtgpt.ai