乐高拉在为法律工作建立代理操作系统
由OpenAI模型提供动力并编码为agents，勒高拉帮助法律团队更快地前进，拓宽了分析范围并专注于高价值的工作。
95%+
减少勒戈拉法律小组审查国家残疾数据的时间
90%
加快《财富》100名客户的合同周转
9.5小时
每周每名律师返回
Legora于2023年在斯德哥尔摩成立(在一个新的窗口打开)，正在建设CEO和共同创始人Max Junestrand所称的“法律工作的代理操作系统”：使AI进入律师每天依赖的工作流程。
法律团队时间异常紧凑，意味着一些有价值的工作没有完成。 想想那个初级律师告诉过要连夜审查一些不可能的合同并且只能专注于一小部分
Legora可以提供“一触即发”的服务，所以Junestrand的雄心是，世界上的每一件法律工作都应该在他的平台上运行。 OpenAI从一开始就是这一旅程的一部分：GPT‐3.5的出道是创始团队试验过的许多合法使用案例成为可能的时刻。 如今，OpenAI是勒高拉公司的关键模式提供者，为其法律AI平台的核心工作流程提供动力，从代理法律工作到大规模文件审查。 勒高拉在有了新的OpenAI模型能力后，利用这些能力，将情报的进步转化为律师可以用其产品完成的工作。
Legora对AI的使用超越了它所销售的产品，并在自己的团队中扩展了ChatGPT Work,Codex和点的使用。 OpenAI的技术正在成为Legora为其客户所建产品的一部分，以及塑造公司本身的运作方式。 “对于我来说
对于Legora的CTO的Jacob Lauritzen来说，对agents的编码已经改变了工程团队能够多快地发展出新的想法。 团队不但没有研究一种可能的解决办法，在知道它是否正确之前就投入工程时间，反而可以同时设计出许多方法。 “我们可以同时探讨20个解决办法，并在几天之内选择我们所知道的最佳解决办法。”
同样的方法改变了乐高拉在出事时的反应方式。 此前，诊断出一个产品问题可能意味着几个工程师在数小时内调查不同的可能原因。 编码agents现在可以搜索上百万行的日志并同时追求许多可能的解释，有时会把雷高拉从bug报告带去工作，大约5分钟后修复。
客户当然不会看到工程效率本身。 但他们确实体验到了这些结果：问题可以更快地得到解决，反馈可以更快地到达产品团队，新的想法可以在开发周期更早的时候用客户进行测试。
乐高拉自己的法律团队经历同样的转变，其产品是为客户而设计的。 Emma Kadri Bergström总法律顾问指出NDA的例子。 她的团队分析了他们历史上签署的协议，并制作了一本游戏手册，允许勒高拉在即将到来的NDA中取出第一通通行证，并突出了不属于可接受的参数范围的术语。
在工作流程为推出之前，Kadri Bergström估计，审查这些 " 无效文件 " 消耗了法律小组20%的能力。 今天，它不到1%。
恢复时间很重要因为公司本身正在迅速扩张去年，Kadri Bergström 称的业务从三个办事处扩大到了18个办事处，完成了三个筹资回合，并进行了五次收购。 法律小组不得不支持这一增长，同时与企业保持密切联系。
大赦国际还允许小组承担以前因能力有限而可能外包或缩小的工作。 例如，在合并和收购调查中，agents可以开始审查合同并浏览整个交易集的信息，由律师审查和解释产出。
“大赦国际不仅使你更快。 它还提高了质量。”
对雷高拉的客户来说，大赦国际还扩大了可以开展的工作范围。
全球法律工程主管Alex Fortescue-Webb指出克尽职守就是一个例子。 在传统的审查中，时间和费用限制可能迫使各小组只把精力集中在最有价值的合同上。 Legora的 Tabular Review 工作流程可以在几分钟内分析数以千计的多个问题合同，使律师能够更广泛地运用详细的审查。
这可以改变最后工作的质量。 以前可能存在于人工审查子集以外的合同中的风险现在可以浮出水面，供律师评估。
结果已经可以衡量。 Junestrand引用了一个"财富"100客户：
- 缩短合同周转时间90%
- 为外部诉讼和勤勉节省了2 000多万美元
- 每个律师每周返回9.5小时从事价值较高的工作
通过ChatGPT的Legora插件，法律团队也可以在其ChatGPT对话中使用Legora的能力。
- 减少勒戈拉法律小组审查NDA的时间，从球队容量的~20%减少到不到1%。
- 一个财富100个乐高拉客户的合同周转速度快90%
- 为同一客户的外部诉讼和勤勉节省了20M+美元。
每名律师返回9.5小时，每周从事价值较高的工作。
- 引导使用。 当75%以上的领导人积极使用Legora时，整个组织的中位使用量要高3×.
-从问题开始专注于人们需要实现什么，然后确定AI可以在哪里改进工作流程。
——构建冠军网络。 内部倡导者帮助将实验转变为持续的收养。
-准备重建随着模型的改进，昨天的产品假设可能很快会过时。
- 设计信任。 从一开始就将评价、测试和透明度纳入经验。
接下来的前沿不只是让今天的法律工作流程更快。 律师与AI之间的合作越来越自然。
Jacob Lauritzen看到两个进步平行发生。 首先，agents将能够处理需要大得多的背景和自主权的更长期的任务。 他想象到，尽职调查跨越了数百万页，一夜之间，分析准备就绪，供律师在第二天早上到达时审查。
同时，能力不断增强的模型也越来越快。 这开启了另一种经验：实时合作，律师和AI可以在合同，分析或建议上前后工作，而不是将AI视为接受任务并返回答案的工具。
“当你把人和人工智能混为一谈时
如此移动的边界意味着勒高拉的行进图不可能是静止的。 称 Lauritzen说：“模型改进迫使我每两周重新考虑路线图。 工程师、产品经理、设计师和销售团队都经常问他客户有什么新的可能。
对于Bergström来说，“每个法律部门都担心成为瓶颈。 这时生意就停止了，AI正在将法律团队从瓶颈转变为商业伙伴，从你避开的人转变为你身边想要的人。
如果乐高拉成功，结果将不仅仅是律师能够更有效地完成今天的工作量。 法律小组将有能力承担一旦无法胜任的工作，并有更多的时间作出判断、战略和高价值的决定，而这些决定仍需要人力。
正如Junestrand所说：“ 成为一名律师是历史上最好的时机。 ”
本文由 AI宝库自动抓取并翻译，版权归原作者所有；如需查看原文请点下方链接。
Legora is building the agentic operating system for legal work
Powered by OpenAI models and coding agents, Legora helps legal teams move faster, broaden analysis and focus on higher-value work.
95%+
reduction in Legora legal-team time spent reviewing NDAs
90%
faster contract turnaround for a Fortune 100 customer
9.5 hours
returned per lawyer, per week
Founded in Stockholm in 2023, Legora(opens in a new window) is building what CEO and co-founder Max Junestrand calls “the agentic operating system for legal work”: bringing AI into the workflows lawyers rely on every day.
The company started with the insight that legal teams are unusually time crunched, meaning some valuable work doesn’t get done. Think of the junior lawyer told to review an impossible number of contracts overnight and only able to focus on a fraction.
Legora can provide those services “on tap”, which is why Junestrand’s ambition is that every piece of legal work in the world should run on his platform. OpenAI has been part of that journey from the beginning: the release of GPT‑3.5 was the moment many of the legal use cases the founding team had been experimenting with became possible. Today, OpenAI is a key model provider for Legora, powering core workflows across its legal AI platform, from agentic legal work to large-scale document review. Legora builds on new OpenAI model capabilities as they become available, translating advances in intelligence into what lawyers can accomplish with its product.
Legora’s use of AI goes beyond the product it sells, and has expanded its use of ChatGPT Work, Codex and dots across its own teams. OpenAI’s technology is becoming part of both the product Legora builds for its customers as well as shaping how the company itself operates. “It’s incredibly important to me that we stay as AI-native as possible,” confirms Junestrand.
For Jacob Lauritzen, CTO at Legora, coding agents have changed how quickly the engineering team can develop new ideas. Instead of researching one possible solution and committing engineering time before knowing whether it’s the right path, teams can prototype many approaches at once. “We can explore 20 solutions at the same time and, within days, pick the one we know will be the best.”
The same approach changes how Legora responds when something goes wrong. Previously, diagnosing a product issue could mean several engineers investigating different possible causes over a number of hours. Coding agents can now search millions of lines of logs and pursue many possible explanations simultaneously, sometimes taking Legora from bug report to working fix in around five minutes.
Customers, of course, don’t see the engineering efficiency itself. But they do experience the results: problems can be resolved faster, feedback can reach product teams sooner, and new ideas can be tested with customers earlier in the development cycle.
Legora’s own legal team experiences the same transformation its product is designed to create for customers. General Counsel Emma Kadri Bergström points to the example of NDAs. Her team analysed the agreements they had historically signed and built a playbook that allows Legora to take a first pass at incoming NDAs, highlighting terms that fall outside acceptable parameters.
Before the workflow was introduced, Kadri Bergström estimates that reviewing these “boring documents” consumed around 20% of the legal team’s capacity. Today, it’s under 1%.
That reclaimed time matters because the company itself is scaling rapidly. In the past year, Kadri Bergström says the business has expanded from three offices to 18, completed three financing rounds and made five acquisitions. The legal team has had to support that growth while remaining closely connected to the business.
AI has also allowed the team to take on work that might previously have been outsourced or narrowed because of limited capacity. In M&A diligence, for example, agents can begin reviewing contracts and surfacing information across the deal set, with lawyers reviewing and interpreting the output.
“AI doesn’t just make you faster. It also increases quality.”
For Legora’s customers, the opportunity isn’t simply to complete the same work faster. AI has also increased the scope of work that can be taken on.
Alex Fortescue-Webb, Global Head of Legal Engineering, points to due diligence as an example. In a traditional review, time and cost constraints can force teams to concentrate deeply on only the most valuable contracts. Legora’s Tabular Review workflow can analyse thousands of contracts across multiple questions in minutes, allowing lawyers to apply detailed scrutiny much more broadly.
That can alter the quality of the final work. Risks that might previously have sat in contracts outside the manually reviewed subset can now be surfaced for a lawyer to assess.
The results are already measurable. Junestrand cites one Fortune 100 customer that has:
- reduced contract turnaround time by 90%
- saved more than $20 million on external litigation and diligence
- returned 9.5 hours per lawyer each week for higher-value work
Through the Legora plugin for ChatGPT, legal teams can also use Legora’s capabilities within their ChatGPT conversations.
- 95%+ reduction in Legora legal-team time spent reviewing NDAs, from ~20% of team capacity to under 1%.
- 90% faster contract turnaround for one Fortune 100 Legora customer.
- $20M+ saved on external litigation and diligence for the same customer.
- 9.5 hours returned per lawyer, per week for higher-value work.
- Lead by using. When more than 75% of leaders actively use Legora, median usage across the organisation is 3× higher.
- Start with the problem. Focus on what people need to accomplish, then determine where AI can improve the workflow.
- Build a network of champions. Internal advocates help turn experimentation into sustained adoption.
- Be ready to rebuild. As models improve, yesterday’s product assumptions can quickly become outdated.
- Design for trust. Build evaluation, testing and transparency into the experience from the start.
For Legora, the next frontier isn’t just making today’s legal workflows faster. It’s expanding the kinds of work AI can take on, while making collaboration between lawyers and AI increasingly natural.
Jacob Lauritzen sees two advances happening in parallel. First, agents will be able to tackle longer-running tasks that require far greater context and autonomy. He imagines due diligence spanning millions of pages running overnight, with the analysis ready for a lawyer to review when they arrive the next morning.
At the same time, increasingly capable models are becoming faster. That opens up a different kind of experience: real-time collaboration where a lawyer and AI can work back and forth on a contract, analysis or piece of advice rather than treating AI as a tool that receives a task and returns an answer.
“When you blend human and AI, that’s when the output comes out best.”
That moving frontier means Legora’s roadmap can’t be static. “Model improvements force me to reconsider the roadmap on a biweekly basis,” says Lauritzen. Engineers, product managers, designers and sales teams all frequently ask him what’s the new thing that’s become possible for customers.
For Bergström, it’s about changing the perception of legal teams. “Every legal department is worried about becoming a bottleneck. That’s when the business stops coming to you,” she says. AI is transforming legal teams from bottleneck to business partner, from the people you avoid to the people you want in the room alongside you.
If Legora succeeds, the outcome won’t simply be lawyers completing today’s workload more efficiently. It will be legal teams able to take on work that capacity once made impossible, with more time for judgement, strategy and the high-value decisions that still require a human.
As Junestrand puts it: “It’s the best time in history to be a lawyer.”
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