Harvey AI Expands Framework for Evaluating Domain-Specific Applications
Harvey AI is enhancing its evaluation framework for domain-specific applications, focusing on insights, research, approaches, and context to improve AI performance and understanding. The company's Biglaw Bench evaluation quantitatively measures model performance on legal tasks, while upcoming benchmarks like the Contract Intelligence project aim to push boundaries in AI capabilities.
By expanding public-facing evaluation work across four critical areas, Harvey AI seeks to facilitate informed discussions about AI system improvements. The approach combines quantitative insights with evolving research benchmarks to identify both strengths and limitations in current models.