# Harvey 用 GPT-6 Astra 将法律上下文转化为更完善的草稿

- 来源：OpenAI：官网动态（RSS · 排除企业/客户案例）
- 发布时间：2026-09-23 20:00
- AIHOT 分数：28
- AIHOT 链接：https://aihot.news/items/cmuehalrd05nzrovxky174xub
- 原文链接：https://openai.com/index/harvey-from-context-to-confidence-with-astra

## AI 摘要

Harvey 借助 GPT-6 Astra 提升法律文书起草，能处理更多上下文并生成结构更完整的输出。相比其他模型，Harvey 在文档格式和上下文感知上有显著改进，其 memory panel 可将律师偏好（如编号列表、优先采用 EDGAR、按优先级着色）直接带入起草流程。

## 正文

GPT‑6 Astra produces more structured, context-aware legal documents, freeing lawyers to focus on strategy.

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.