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Legal AI Agent Testing60 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 scenarios

Core operational scenarios, customer interactions, and general agent testing

client intake

9

case research

7

document review

7

client communication

6

contract analysis

6

conflict checks

5

deposition summaries

5

court filing deadlines

4

trust account compliance

4

Billing & Subscription

7 scenarios

Subscription management, billing disputes, metering, and invoicing

billing time tracking

7

Example Scenario

Conflict Screening Documentation - Chinese Wall Implementationhard

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

Subcategory: conflict checks

Coverage Stats

60
Total Scenarios
10
Subcategories
22
Hard Scenarios
6
Adversarial

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