Harvey turns legal context into stronger drafts with GPT-6 Astra
Legal AI firm Harvey uses GPT-6 Astra to draft more complete legal documents with better formatting and lawyer preference controls.
Harvey, an AI platform for law firms and in-house teams, reports substantial improvements in document formatting and context awareness using GPT-6 Astra for litigation and M&A drafting. A memory panel lets lawyers encode preferences such as numbered lists, prioritizing EDGAR as a source, and color-coding issues by priority alongside source material and draft memoranda. Cofounder and President Gabe Pereyra says feeding more context to the model produces better structured outputs.
- Harvey reports better document formatting and context awareness with GPT-6 Astra
- Memory panel injects lawyer preferences such as EDGAR sourcing and numbering
- Targets litigation, M&A, and in-house legal drafting workflows
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Harvey helps law firms and in-house legal teams securely deploy AI across complex legal workflows, from litigation to mergers. Its customers use Harvey to turn vast amounts of information into complex legal documents. With GPT‑6 Astra, Harvey can bring more context into the drafting process and generate more structured outputs.
“We can give more context to the model and produce better and better structured outputs.”
—Gabe Pereyra, Cofounder and President, Harvey
Getting more complete documents with better formatting
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 has seen 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.
Bringing lawyers’ preferences into the drafting process
Harvey’s memory panel brings individual preferences directly into the drafting workflow. 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.
Text extracted automatically; images, tables and formatting may be missing. Original: https://openai.com/index/harvey-from-context-to-confidence-with-astra