--- 格式版本: 2 标题: "Legora reviewed 41 documents in minutes with GPT-6 Astra" 原文链接: "https://openai.com/index/legora-financial-statement-review-with-astra" 发布日期: "2026-09-03" 发布时间校准状态: "found" 发布时间需复核: "否" 发布时间来源: "llm:scrape:provider_published_at" 发布时间证据: "provider publishedAt: 2026-09-03" 发布时间校准原因: "候选日期来自provider发布的publishedAt元数据，属于文章发布时间来源，且无相互矛盾的正文事件日期。" 发布时间校准置信度: "1" 发布时间候选数量: 1 发布时间严格候选数量: 0 发布时间原页读取状态: "source template page reused from URL open" 发布时间未找到原因: "" 发布时间校准时间: "2026-09-07T22:22:54+08:00" 发布时间仲裁状态: "confirmed" 发布时间仲裁尝试次数: 1 发布时间仲裁耗时毫秒: 18998 发现时间: "2026-09-07T22:06:43+08:00" 入库时间: "2026-09-07T14:23:29.651Z" 来源平台: "固定入口" 搜索渠道: "fixed_url" 搜索词: "https://openai.com/news/security/" 匹配关键词: - "performance" 相关厂家: - "OpenAI" 相关专家: [] 内容类型: "网页" 抓取工具: "Free Fetch + Defuddle" 清洗工具: "Defuddle Markdown + Defuddle/Readability 正文提取" 原始附件: [] AI优质: "否" AI打分: 40 AI分档: "非优质" AI质检状态: "不通过" AI打分理由: "正文主线是Legora利用GPT-6 Astra审查财务文件的法律工作流案例，并非超节点或机架级AI基础设施。OpenAI官方案例来源较权威；固定知识库未见同一案例，但未命中不能证明首次出现。本文新增可核验事实包括单次处理41份文件、相对旧模型提升近40%、发现4个植入错误，但技术指标均属于模型应用效果，没有机架架构、互连、供电、散热、RAS或基础设施部署信息。命中“应用与模型效率”强否决项，当前页面不适合作为超节点业务信息源。" AI质检模型: "gpt-5.6-sol" AI质检时间: "2026-09-08T16:39:43+08:00" AI主题相关性: 0 AI来源权威性: 14 AI新颖性: 11 AI技术细节: 2 AI商业部署信号: 4 AI完整性: 9 AI评分提示词版本: "v17-精简生产版" AI评分提示词SHA256: "48fb9777f386026761b4873eaff30807694fb11e9b352d7c69bf2dfde750cc7d" AI评分知识库版本: "knowledge_base_v1-20260819+runtime.91" AI评分知识库SHA256: "63412978a77e0c992a0c417bf6a25f0ef83df5c342c2a67607a122c0f8bd250e" AI评分知识库检索词: "[\"OpenAI\",\"performance\",\"https://openai.com/news/security/\",\"GPT-6\",\"GPT\",\"UK\",\"API\",\"BAR\",\"GPT-5.6\",\"ML\"]" AI评分知识库命中: "[{\"id\":\"runtime-5581f72bc66fda8e6c6bf711\",\"title\":\"Advancing Standards-Based AI Fabric RAS Through COSMOS Integration\",\"sourceType\":\"ai_excellent_article\",\"time\":\"2026-08-10\",\"matchedTerms\":[\"performance\",\"API\",\"BAR\"],\"rank\":-9.274192043491766},{\"id\":\"july-correct-0077\",\"title\":\"AMD and OpenAI: Collaborating Across Every Layer of the Stack\",\"sourceType\":\"labeled_article\",\"time\":\"2026-07\",\"matchedTerms\":[\"OpenAI\",\"performance\",\"GPT\",\"API\",\"GPT-5.6\",\"ML\"],\"rank\":-9.268631140824377},{\"id\":\"july-correct-0088\",\"title\":\"StrataCL: Fabric-Native Communication Library for Production Supernodes - 智源社区论文\",\"sourceType\":\"labeled_article\",\"time\":\"2026-07\",\"matchedTerms\":[\"performance\",\"GPT\",\"GPT-5.6\",\"ML\"],\"rank\":-9.197866301206307},{\"id\":\"runtime-6aea460e7157b5f09ea425ee\",\"title\":\"AMD Tracks Ahead of Rack-Scale AI Energy-Efficiency Goal - AMD Newsroom\",\"sourceType\":\"ai_excellent_article\",\"time\":\"2026-08-18\",\"matchedTerms\":[\"performance\",\"UK\",\"API\",\"BAR\"],\"rank\":-8.63711766603754},{\"id\":\"runtime-bf4039a0342d37545e9459a2\",\"title\":\"Most Neoclouds Suck At Security\",\"sourceType\":\"ai_excellent_article\",\"time\":\"2026-08-30\",\"matchedTerms\":[\"OpenAI\",\"performance\",\"GPT\",\"API\",\"BAR\",\"ML\"],\"rank\":-8.34534298506125}]" 采集批次: "2026年9月7日22点05分18秒" 采集批次ID: "20260907-220517-361" 去重键: "https://openai.com/index/legora-financial-statement-review-with-astra" --- ## Legora reviewed 41 documents in minutes with GPT‑6 Astra Legora uses Astra to improve accuracy, completeness, and reliability, while keeping final judgment with legal professionals. Company size: Startup Region: Europe & UK Industry: Technology Products: API Results 40% Improvement against Legora benchmark in financial-statement workflow Results 4 of 4 Planted errors found in the financial-statement tie-out Results 41 Documents reviewed in minutes in a single Agent run Legora is an agentic operating system for legal and professional work, used by more than 100,000 professionals across more than 1,800 in-house legal departments and law firms in over 50 markets. Its legal engineers work directly with customers to understand how they operate and adapt Legora to their end-to-end workflows, from contract and agreement review to legal research. One of the more tedious workflows is financial-statement tie-out: checking every figure in draft accounts against trial balances, a consolidation schedule, and the previous year’s accounts until each item agrees. As Legora Legal Engineer Percevale Perks says, the work “can take an entire evening, sometimes days.” ## Processing complex financial context at scale Using GPT‑6 Astra, Legora’s Agent completed the tie-out across 41 documents in a single run. Legora says the Agent did the work within minutes: checking every balance against its supporting schedule, surfacing breaks in the amounts, and recording each check. The result gives the legal professional a granular record of every line item and figure to review. > “I think what changed before and after is the processing power, the ability to ingest such a large number of documents, digest really complex information, and get all of those different line items and figures.” —Percevale Perks, Legal Engineer, Legora The Agent handles the exhaustive comparison, while the expert remains responsible for the judgment call on each result. That approach of keeping a human in the loop is central to how Legora is extending its platform beyond legal work into audit, tax, compliance, and risk. ## Improving accuracy, completeness, and reliability Legora evaluated GPT‑6 Astra with the Legora Benchmark for Agentic Reasoning (BAR), which measures performance on end-to-end legal tasks drawn from real-world use cases. Legora reports that GPT‑6 Astra improved performance by nearly 40% over the previous model on this financial-statement workflow. Across all tasks in the BAR, the improvement averaged about 3%. In the tie-out, Legora saw gains across what Percevale describes as accuracy, completeness, and reliability. GPT‑6 Astra found all four errors Legora had planted in the accounts, including a £500,000 gap hidden in the revenue note. It checked every balance against its supporting schedule and recorded each check. And it retained every check the previous model got right as well as completed around 50 more. The result is a more complete and faster first pass and a clearer record to review, while the final decision stays with the legal expert. ## OpenAI <3 startups ## Keep reading[Replit expands access to software creation with GPT-5.6 Luna](https://openai.com/index/replit/) [ Startup ](https://openai.com/index/replit/)[Model ML completes finance work more efficiently with GPT-5.6 Sol](https://openai.com/index/model-ml/) [ Startup ](https://openai.com/index/model-ml/)