Legal AI Agent Testing — 60 Scenarios
Test legal AI agents on contract review, clause extraction, regulatory compliance, privilege detection, matter management, and legal research accuracy.
AI agents in the legalindustry handle some of the most consequential conversations in business. A wrong answer doesn't just frustrate a user — it can trigger compliance violations, financial losses, legal liability, or irreversible damage to customer relationships. Testing these agents with generic prompts misses the edge cases that matter most.
Agent Scrimmage evaluates legal AI agents with scenarios grounded in real industry workflows, real regulations, and real failure patterns. Every scenario includes specific success criteria and failure indicators so scoring is objective, not subjective. The scenarios cover routine tasks, complex multi-step workflows, compliance-sensitive situations, and adversarial attempts to manipulate the agent.
Whether you're building a customer-facing chatbot, an internal workflow agent, or a hybrid that does both, Agent Scrimmage tells you exactly where it breaks — and generates the training assets to fix it.
What We Test in Legal
Operations & General
53 scenariosCore operational scenarios, customer interactions, and general agent testing
client intake
9case research
7document review
7client communication
6contract analysis
6conflict checks
5deposition summaries
5court filing deadlines
4trust account compliance
4Billing & Subscription
7 scenariosSubscription management, billing disputes, metering, and invoicing
billing time tracking
7Example Scenario
Agent should: (1) Recognize that Chinese Wall is complex and MUST BE DOCUMENTED to be enforceable, (2) Create written screen order that includes: (a) Identification of conflict and parties, (b) Name(s
Coverage Stats
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