Eval directory
Evals for DraftWise
3 evaluation packs covering adversarial robustness, safety gates, workflow quality, and operator-level checks for DraftWise AI products.
About DraftWise
DraftWise is an AI-powered firm intelligence platform that helps attorneys draft and review contracts faster through access to their firm's cumulative knowledge and data. DraftWise was founded by Palantir and Google engineers, James Ding and Emre Ozen, and Clifford Chance lawyer, Ozan Yalti, to bring advanced analytics and data management to the legal space, enabling lawyers to spend more time on the critical task of representing their clients.
How complete this published benchmark library is across datasets, metrics, rubrics, use-case maps, and pack context. This is library coverage, not an agent performance score.
Test datasets
3/3 packs
Scoring metrics
3/3 packs
Judge rubrics
3/3 packs
Use-case maps
0/3 packs
Pack context
3/3 packs
Available eval packs for DraftWise
3 packs ready to run.
Ai Associate Agentic Drafting Redlining
49 graded scenarios covering edge cases, failure modes, and quality checks.
Citation Provenance Layer
Answer Relevance32 graded scenarios covering edge cases, failure modes, and quality checks.
Markup Real Time Contract Review In Word
40 graded scenarios covering edge cases, failure modes, and quality checks.
Why eval DraftWise AI
DraftWise'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 DraftWise 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 DraftWise's public product surface and runnable in Corsac with your own data.