Eval directory
Evals for Paxton AI
3 evaluation packs covering adversarial robustness, safety gates, workflow quality, and operator-level checks for Paxton AI AI products.
About Paxton AI
Paxton AI is an AI platform serving legal professionals, helping law firms and legal departments automate research, drafting, and review workflows with greater accuracy and speed than manual processes.
Available eval packs for Paxton AI
3 packs ready to run.
Citations Source Linking Verifiability
CorrectnessAnswer Relevance62 graded scenarios covering edge cases, failure modes, and quality checks.
Legal Research Q A Contextual Research With Jurisdictional Coverage
CorrectnessAnswer Relevance59 graded scenarios covering edge cases, failure modes, and quality checks.
Paxton Ai Citator Case Status Treatment
CorrectnessAnswer Relevance28 graded scenarios covering edge cases, failure modes, and quality checks.
Why eval Paxton AI AI
Paxton AI's AI features ship behind brand promises about accuracy, safety, and reliability. Buyers and integrators need to know those promises hold up under adversarial prompts, edge-case workflows, and the long tail of real customer inputs — not just the demo path.
The Corsac eval library for Paxton AI measures four dimensions teams care about most when deploying legal ai agents:
- Adversarial robustness — does the agent resist prompt injection, jailbreaks, and social-engineering attempts?
- Workflow quality— does it complete the task buyers were shown in the demo, on inputs that don't look like the demo?
- Safety gates — does it escalate or refuse when it should, and only then?
- Operator quality — does it preserve analyst trust by surfacing the right context at the right time?
Every eval pack above is hand-authored against Paxton AI's public product surface and runnable in Corsac with your own data.