A validation protocol defines what is measured, on what sample, against what ground truth, and at what threshold the system is acceptable. It typically uses a held-out set of documents with attorney-verified correct answers, measuring precision, recall, and error types.
Validation repeats periodically, since model updates and changing document mixes can shift performance after deployment.
Alternative Names:
AI Validation, Accuracy Validation Protocol
Why it Matters?
Validation is what allows a firm to answer the only question that matters in procurement: does this work on our documents. Vendor benchmarks rarely reflect a specific practice's record mix, and a tool that performs well on clean commercial documents may struggle with nursing home charts. Running a structured pilot against a known-answer sample is the difference between an evidence-based decision and a demo impression.
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Related terms
Frequently asked questions
What does a validation protocol measure?
How often should validation be repeated?
