Ropes & Gray 如何开发交易谨慎的AI
律师事务所Ropes & Gray正在与OpenAI合作开发交易勤勉AI工具。
在交易方面，律师需要在严格的期限内处理大量文件。 Ropes & Gray是AI在法律行业的早期被采纳者，他们与OpenAI合作，目前正在开发专有AI工具，为更多的客户提供更多专业知识。
“如果不是唯一的办法，大赦国际确实是确保你能够保持同样的质量和一致的建议，同时加快步伐的关键方法之一。”
在最后完成任何购置之前，买方必须进行彻底调查，以验证卖方的财务和法律声称。 这种交易勤奋过程揭示出风险和责任，需要数据繁重的研究，通常需要全体律师参与。
从分析大量文件到分析模式，在很短的时间内进行投标可能需要几天的紧张工作。 为了帮助其律师帮助客户更快地行动，Ropes & Gray开发了与OpenAI的交易勤奋AI工具。
称 Howard Glazer 公司合伙人兼律师事务所负责人E. “我们的客户不给我们钱来审查合同。 他们花钱让我们根据合同内容做出判断。
新的勤奋AI工具首先通过梳理了上千页，识别了相关文件，并根据主题和问题自动将其分组。 该工具与研究一起以Roopes & Gray的签名格式制作摘要和完成的报告。 它盘点并分类了一个数据室，这样它就可以审查完整的关系，而不是孤立的文件。 当然，律师可以检查分组和分类，以证实没有任何遗漏。
最初的开发工作侧重于物质商业合同。 在工作会议上，Ropes & Gray的律师将测试结果与已完成交易的由人类撰写的尽职报告进行比较，然后根据草案的正确之处和不足之处，完善了标题和报告格式。
Ropes & Gray在设计该工具时采用了一致的查询和框架，模仿了他们团队将采取的确切步骤，从初始审查到总结到更高级别的审查。 与有能力的初级至中级协理人员相比，这一工具使他们的坚定的高质量工作始终如一地成为这一进程的先行之道。
称 Lichtenstein认为，“因为任何我们要交付给客户的东西，正因为如此，该工具的设计使律师能够方便地审查临时摘要和实际文件。” 随着初步审查的进行，律师可以花更多的时间审查和完善工作，从而作出更仔细的最终判决。
Ropes & Gray公开描述了该工具在数小时而非数周内编写详细，问题层面的勤勉报告所追求的雄心。
凭借其专有勤勉工具与GPT‐6 Astra等工具，Roopes & Gray能够比之前更快地解决客户端问题。
- 该工具对数据室进行编目和分类，按主题和问题对相关文件进行分组。
- 工作流程以绳索和格雷的格式制作摘要和报告。
- 律师在向客户交付工作之前审查临时摘要和资料来源文件。
- 将产出草案与律师授权的尽职报告进行比较，以完善标题和报告格式。
Lichtenstein和Glazer从AI的经验中提供了两个教训。
用人工智能做实验从寻找着装鞋到为他的孩子进行气温编码游戏，利克滕斯坦一生中的每一面都使用AI. “只是用它来做很多不同的事情，我觉得我学到了很多它做得很好，“最有价值的部分不是当它做得好的时候，而是当你看到错误并试图想出该怎么做的时候。 这才是它从我玩的东西转变为一个真正强大的专业工具的地方。
把客户放在首位。 Ropes & Gray在设计AI工具和工作流程时强调，必须铭记公司的最大目标。 称 Glazer认为机会如此多，“这就是我们所关注的：我们如何利用它来造福客户？如果我们这样做，那么一切都会好的。”
- 在今天，AI正在帮助Rops & Gray进行法律尽职调查，而Glazer认为AI的下一阶段将有助于在公司内部创造集体知识。
- 有340个合作伙伴和1 500名律师，绳索和灰色公司认为，从客户会议到过去项目，为每个人创造获得知识的机会，以更好地解决客户问题，是有价值的。
- “这不仅仅是节省时间。 这不仅仅是储蓄，“它利用AI工具直接创造价值
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How Ropes & Gray is developing AI for transactional diligence
Law firm Ropes & Gray is developing a transactional diligence AI tool in partnership with OpenAI.
In transactional diligence, lawyers need to work through large volumes of documents under tight deadlines. Ropes & Gray was an early adopter of AI in the legal industry, and in partnership with OpenAI, they are now developing a proprietary AI tool to provide more expertise to more clients.
“AI is really one of the key ways—if not the only way—to make sure you can maintain the same quality and consistency of advice while moving at a faster pace.”
Before finalizing any acquisition, the buyer must carry out a thorough investigation to validate the seller’s financial and legal claims. That process of transactional diligence uncovers risks and liabilities, requiring data-heavy research that usually involves an entire team of lawyers.
From parsing through an enormous number of documents to analyzing patterns, putting together a bid on a short timeline can take days of intensive work. To help their lawyers help their clients move more quickly, Ropes & Gray developed a transactional diligence AI tool with OpenAI.
“It’s enabling all the lawyers at our firm to actually get to what we’re supposed to be doing,” says Howard Glazer, the Partner and Head of Practice AI at Ropes & Gray. “Our clients don’t pay us to review contracts. They pay us to make judgments based on what’s in the contracts.”
The new diligence AI tool takes a first pass by combing through thousands of pages, identifying relevant documents and automatically grouping them together based on themes and issues. Along with the research, the tool produces summaries and a completed report in Ropes & Gray’s signature format. It inventories and categorizes a data room, so it can review full relationships, not isolated documents. Of course, lawyers can inspect the grouping and categorization to confirm nothing is missed.
The initial development work has focused on material commercial contracts. In working sessions, Ropes & Gray’s lawyers compared test outputs with human-authored diligence reports from completed deals, then refined the rubric and report format based on what the drafts got right and where they fell short.
Ropes & Gray designed the tool with a consistent query and framework that mimics the exact steps their team would take, from initial reviews to summaries to higher-level reviews. Comparable to the work of a capable junior-to-mid-level associate, this tool gives their firm consistently high-quality work that serves as a first pass through the process.
“Our lawyers still need to review everything,” says Lichtenstein. “Because anything that we’re going to deliver to a client, we need to be able to stand behind 100%. This is why the tool is designed to allow lawyers to easily review interim summaries and actual documents.” With the initial review taken care of, lawyers can spend more time reviewing and refining the work, resulting in a more carefully crafted final judgment.
Ropes & Gray has publicly described an ambition for the tool to produce a detailed, issue-level diligence report in hours rather than weeks.
With tools like their proprietary diligence tool and GPT‑6 Astra, Ropes & Gray has been able to solve client problems far faster than before.
- The tool inventories and categorizes a data room, grouping related documents by themes and issues.
- The workflow produces summaries and a report in Ropes & Gray’s format.
- Lawyers review interim summaries and source documents before delivering work to clients.
- Testing compares draft outputs with lawyer-authored diligence reports to refine the rubric and report format.
Lichtenstein and Glazer offer two lessons from their experience with AI.
Experiment with using AI for everything. From finding dress shoes to vibecoding games for his kids, Lichtenstein has been using AI in every facet of his life. “Just by using it for so many different things, I feel like I’ve learned a lot of what it does well, how you can make it work better,” Lichtenstein explains. “The most rewarding part is not when it does well, it’s when you see the mistake and try to figure out what to do. That’s where it transformed from something I was playing with to a really powerful professional tool.”
Put the clients first. While designing AI tools and workflows, Ropes & Gray emphasizes the importance of keeping the firm’s greatest goal in mind. “It’s exciting to think there is so much opportunity, but only if we learn how to use it and make sure that our clients are the ones who are winning,” says Glazer. “That’s what we’re focused on: how can we use this to benefit the clients? And if we do that, then everything will work out fine.”
- While today, AI is helping Ropes & Gray with legal diligence, Glazer believes that the next stage of AI will help create collective knowledge within the firm.
- With 340 partners and 1500 lawyers, Ropes & Gray sees value in creating access to every person’s knowledge, from their client meetings to past projects, to better solve client problems.
- “That’s not just saving time. It’s not just saving money,” says Glazer. “It’s using the AI tools to directly create value, and that’s just amazing.”
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