Run a Task-Realistic Bake-Off
Design a multi-metric AI vendor bake-off using representative tasks and failure modes.
A legal operations team needs to compare two AI contract-review vendors, but public benchmark scores do not reflect the company's clause library, document quality, or reviewer workflow. Evaluate vendors across representative scenarios and multiple decision-useful metrics. The common trap is testing clean examples and scoring only whether the answer sounds right. Step 1 Build the case set: 20 normal contracts, 10 messy scans, 5 edge clauses, 3 jurisdiction conflicts, and 2 escalation cases. Representative variation exposes robustness and abstention behavior. Step 2 Define metrics: correctness, citation support, severity of miss, confidence calibration, reviewer time, latency, and data-handling constraints. A multi-metric…
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