According to OpenAI and Harvey, the legal AI platform is deploying GPT-6 Astra to help law firms and in-house legal teams securely manage complex workflows ranging from litigation to mergers. By utilizing GPT-6 Astra, Harvey assists lawyers in analyzing, synthesizing, and drafting documents from diverse sources of legal context, including court information, case law research, and internal law firm documents. Compared to other models, the integration of GPT-6 Astra has yielded substantial improvements in document formatting and context awareness, resulting in more complete documents that reflect underlying material. Additionally, Harvey incorporates a memory panel that allows lawyers to encode individual preferences directly into the drafting workflow, such as utilizing numbered lists, prioritizing specific sources like EDGAR, or color coding issues by priority. These preferences appear alongside source materials and draft memorandums to help lawyers guide the output. Because GPT-6 Astra can process increased amounts of context, Harvey generates higher-quality legal documents, ultimately freeing lawyers to focus a greater portion of their time on strategy.
Harvey turns legal context into stronger drafts with GPT-6 Astra
Legal AI platform Harvey is utilizing OpenAI's GPT-6 Astra model to improve document drafting and context awareness for law firms and in-house legal teams. The integration allows Harvey to process vast amounts of legal information and produce more structured, complete documents. This enables lawyers to spend more time focusing on legal strategy.
Why it matters
This deployment demonstrates how advanced language models like GPT-6 Astra are being specialized for high-stakes professional sectors like law. It highlights the growing importance of context windows and preference integration in enterprise AI workflows.
Topic dossiers OpenAI