Harvey turns legal context into stronger drafts with GPT-6 Astra
Harvey’s use of GPT-6 Astra suggests domain context and structured output can improve legal drafting while keeping expert judgment focused on strategy.
Harvey says **GPT-6 Astra** produces more structured, context-aware legal documents and gives lawyers more time for strategy.
Builders of specialist agents should prioritize relevant domain context and predictable document structure, leaving consequential decisions to human experts.
Harvey says **GPT-6 Astra** produces more structured, context-aware legal documents and gives lawyers more time for strategy. Builders of specialist agents should prioritize relevant domain context and predictable document structure, leaving consequential decisions to human experts. The material provides no evaluation method, quality measurements, implementation details, or comparison with earlier models.
Harvey adds a specialist legal-document case to enterprise adoption, emphasizing domain context, structured outputs, and human control rather than autonomous decision-making. It aligns with prior cases that retain expert judgment, but its lack of evaluations, controls, or rollout detail means it confirms a design direction, not stronger legal quality or a transferable implementation pattern.