Eval directory
Evals for LexisNexis
3 evaluation packs covering adversarial robustness, safety gates, workflow quality, and operator-level checks for LexisNexis AI products.
About LexisNexis
LexisNexis is RELX's legal and professional information and analytics business. Its legal-AI portfolio includes Lexis+ with Protege, which combines legal content with research, drafting, and analysis workflows.
Employees
11,900
Industry
Information and Analytics / Legal Technology
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 LexisNexis
3 packs ready to run.
Citation Integrity Shepard S Validation Hallucination Defense
HallucinationAnswer Relevance10 graded scenarios covering edge cases, failure modes, and quality checks.
Grounded Legal Research Conversational Q A
Answer Relevance44 graded scenarios covering edge cases, failure modes, and quality checks.
Retrieval Augmented Generation Pipeline Five Stage Prompt Checking
Answer Relevance47 graded scenarios covering edge cases, failure modes, and quality checks.
Why eval LexisNexis AI
LexisNexis'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 LexisNexis 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 LexisNexis's public product surface and runnable in Corsac with your own data.