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Harvey uses GPT‑6 Astra to generate more context-aware, structured legal drafts

Harvey has integrated GPT‑6 Astra to improve the structure and context sensitivity of legal documents generated from diverse sources such as court records, firm files and case law.

Harvey uses GPT‑6 Astra to generate more context-aware, structured legal drafts

Harvey has integrated GPT‑6 Astra to enhance the structure and context sensitivity of legal documents produced from diverse inputs. Law firms and in‑house legal teams use Harvey to turn large volumes of information into complex legal materials across workflows ranging from litigation to mergers.

What GPT‑6 Astra brings

According to Harvey, GPT‑6 Astra can incorporate more contextual information into the drafting process, producing outputs that are better structured and more closely aligned with their source material. The company reports noticeable improvements in document formatting and context awareness compared with other models, resulting in more complete drafts for customers.

Sources and information the system uses

Harvey uses GPT‑6 Astra to analyze, synthesize, and draft from the information that shapes a matter, including court records, law firm documents, case‑law research, and other legal context sources. The aim is to surface and integrate as much relevant material as possible so that resulting documents more accurately reflect the underlying facts and authorities.

Personalization via the memory panel

Harvey’s memory panel allows individual drafting preferences to be encoded into the workflow. A lawyer can specify preferences such as using numbered lists, prioritizing EDGAR as a source, or color‑coding issues by priority. These preferences appear alongside the source material and the draft memorandum, giving the lawyer a clearer way to steer the output.

Why it matters for legal work

Because GPT‑6 Astra can process a larger amount of context, Harvey says it can produce higher‑quality legal documents while customers spend more of their time on strategy. The combination of improved formatting, greater context awareness, and explicit user preferences aims to reduce administrative drafting burden and let legal professionals focus on substantive legal decisions.

Summary

Harvey’s use of GPT‑6 Astra targets better‑structured, more contextually accurate legal drafts, supported by a memory panel that brings lawyer preferences into the drafting loop. The company positions this integration as a way to deliver more complete documents and free legal teams to concentrate on strategic work.