harveyai/harvey-labs

Overview

harvey-labs is a benchmark and experimentation framework aimed at evaluating AI agents on tasks relevant to legal practice, such as document review, clause extraction, and workflow automation. It provides structured datasets, scenarios, and metrics to compare different agent configurations and models. Developers should care because it offers a rigorous way to test agent reliability in a highly sensitive domain, and its patterns can be adapted for other vertical-specific agent benchmarks.