Expanding Harvey's Model Offerings

This post details the integration of multiple leading foundation models (Anthropic, Google) alongside existing OpenAI models into the Harvey platform. It introduces an auto-routing mechanism to select the best model for a given legal task and a model selector for user-driven choice. The technical rationale for this multi-model approach is explained, highlighting how different models have unique strengths and weaknesses for specific legal tasks (e.g., Gemini 2.5 Pro for drafting vs. trial preparation). The post also discusses the impact on agents and workflows, enabling more precise model selection for individual steps within complex processes. Evaluation methodologies, including the BigLaw Bench and expert reviews, are emphasized as critical for guiding model selection and demonstrating performance improvements.