Harvey is an AI platform that helps law firms and in-house legal teams deploy AI across complex legal workflows, from litigation to mergers. Customers use Harvey to turn large volumes of information into complex legal documents. The article describes how Harvey uses GPT-6 Astra to bring more context into the drafting process and produce more structured outputs.

According to Gabe Pereyra, Cofounder and President of Harvey, giving the model more context leads to better and better structured outputs. Harvey uses GPT-6 Astra to help lawyers analyze, synthesize, and draft from the information that shapes a matter, including court information, law firm documents, case law research, and other sources of legal context. Compared with other models, Harvey reports substantial improvements in document formatting and context awareness with GPT-6 Astra, helping customers get more complete documents that better reflect the material behind them.

Harvey also brings lawyers’ preferences into the drafting workflow through its memory panel. A lawyer can encode preferences such as using numbered lists, prioritizing EDGAR as a source, or color coding issues by priority. Those preferences appear alongside the source material and the draft memorandum, giving the lawyer a clearer way to guide the output. Because GPT-6 Astra can process more context, Harvey can produce higher-quality legal documents while customers focus more of their time on strategy.