为时间与信任皆稀缺的职业而构建
Legora（在新窗口中打开）于2023年在斯德哥尔摩成立，正在构建CEO兼联合创始人Max Junestrand所称的“法律工作的智能体操作系统”：将AI引入律师日常依赖的工作流程。
公司起步于这样一个洞察：法律团队的时间异常紧张，这意味着一些有价值的工作无法完成。想想那位被要求在一夜之间审阅数量不可能完成的合同的初级律师，只能专注于其中一小部分。
Legora可以“按需”提供这些服务，这就是为什么Junestrand的雄心是让世界上每一件法律工作都在他的平台上运行。OpenAI从始至终参与了这一旅程：GPT‑3.5的发布是创始团队一直在试验的许多法律用例成为可能的时刻。如今，OpenAI是Legora的关键模型提供商，为其法律AI平台的核心工作流程提供支持，从智能体法律工作到大规模文档审阅。Legora在OpenAI新模型能力可用时即基于其构建，将智能的进步转化为律师可以用其产品完成的事情。
一家构建AI原生产品的AI原生公司
Legora对AI的使用超越了其销售的产品，并已在其自身团队中扩大了ChatGPT Work、Codex和dots的使用。OpenAI的技术正成为Legora为客户构建的产品的一部分，同时也塑造着公司自身的运营方式。“对我来说，尽可能保持AI原生至关重要，”Junestrand确认道。
对于Legora的CTO Jacob Lauritzen来说，编码智能体改变了工程团队开发新想法的速度。团队不再是在不知道是否是正确路径的情况下研究一种可能的解决方案并投入工程时间，而是可以同时原型化多种方法。“我们可以同时探索20种解决方案，并在几天内选出我们知道会是最好的那一个。”
同样的方法改变了Legora在出问题时响应的方式。以前，诊断产品问题可能意味着多名工程师在数小时内调查不同的可能原因。编码智能体现在可以搜索数百万行日志并同时追踪多种可能的解释，有时让Legora从bug报告到可用的修复只需大约五分钟。
当然，客户看不到工程效率本身。但他们确实体验到了结果：问题可以更快解决，反馈可以更早到达产品团队，新想法可以在开发周期的更早阶段与客户一起测试。
给Legora自己的律师留出从事更高价值工作的空间
Legora自己的法律团队经历着其产品旨在为客户创造的同样变革。总法律顾问Emma Kadri Bergström指出了NDA的例子。她的团队分析了过去签署的协议，并构建了一个playbook，使Legora能够对收到的NDA进行第一轮处理，标出超出可接受范围的条款。
在引入该工作流程之前，Kadri Bergström估计审阅这些“无聊的文件”消耗了法律团队约20%的产能。如今，这一比例不到1%。
回收的时间很重要，因为公司本身正在快速扩张。在过去一年里，Kadri Bergström说业务已从三个办公室扩展到18个，完成了三轮融资并进行了五次收购。法律团队必须在支持这种增长的同时与业务保持紧密联系。
AI还让团队能够承担以前可能因产能有限而外包或缩小范围的工作。例如，在并购尽职调查中，智能体可以开始审阅合同并在整个交易集中浮现信息，由律师审阅和解读输出。
“AI不仅让你更快。它还提升了质量。”
—Emma Kadri Bergström，Legora总法律顾问
从更快的审阅到更广泛、更高质量的分析
对于Legora的客户来说，机会不仅仅是更快地完成同样的工作。AI还扩大了可以承担的工作范围。
全球法律工程主管Alex Fortescue-Webb以尽职调查为例。在传统审阅中，时间和成本限制可能迫使团队只深入关注最有价值的合同。Legora的表格审阅工作流程可以在几分钟内跨多个问题分析数千份合同，使律师能够更广泛地应用详细审查。
这可以改变最终工作的质量。以前可能存在于人工审阅子集之外的合同中的风险，现在可以被浮现出来供律师评估。
结果已经可以衡量。Junestrand引用了一家财富100强客户：
将合同周转时间减少了90%
在外部诉讼和尽职调查上节省了超过2000万美元
每位律师每周返还9.5小时用于更高价值的工作
通过Legora的ChatGPT插件，法律团队还可以在ChatGPT对话中使用Legora的能力。
结果一览
Legora法律团队审阅NDA的时间减少95%以上，从约占团队产能的20%降至不到1%。
一家财富100强Legora客户的合同周转加快90%。
同一客户在外部诉讼和尽职调查上节省2000万美元以上。
每位律师每周返还9.5小时用于更高价值的工作。
领导力经验
以身作则地使用。 当超过75%的领导者积极使用Legora时，整个组织的中位使用量高出3倍。
从问题出发。 专注于人们需要完成的事情，然后确定AI可以在哪里改进工作流程。
建立拥护者网络。 内部倡导者帮助将试验转化为持续采用。
准备好重建。 随着模型改进，昨天的产品假设可能很快过时。
为信任而设计。 从一开始就将评估、测试和透明度构建到体验中。
下一步
对于Legora来说，下一个前沿不仅仅是让今天的法律工作流程更快。而是扩大AI可以承担的工作种类，同时让律师与AI之间的协作变得越来越自然。
Jacob Lauritzen看到两项进步在并行发生。首先，智能体将能够处理需要更多上下文和自主性的长时间运行任务。他想象尽职调查跨越数百万页在夜间运行，分析准备好供律师第二天早上到达时审阅。
与此同时，日益强大的模型正变得更快。这开启了一种不同的体验：实时协作，律师与AI可以就合同、分析或建议来回工作，而不是将AI视为接收任务并返回答案的工具。
“当你将人类与AI融合时，产出效果最佳。”
—Jacob Lauritzen，Legora首席技术官
这种不断变化的前沿意味着Legora的路线图不能一成不变。“模型的改进迫使我每两周重新考虑一次路线图，”Lauritzen说。工程师、产品经理、设计师和销售团队都经常问他，对客户来说有什么新事物已经成为可能。
对Bergström来说，这关乎改变对法务团队的认知。“每个法务部门都担心成为瓶颈。那时业务就不再找你了，”她说。AI正在将法务团队从瓶颈转变为业务伙伴，从人们避之不及的人转变为人们希望同处一室的人。
如果Legora成功，结果将不仅仅是律师更高效地完成今天的工作量。而是法务团队能够承担曾经因产能限制而不可能完成的工作，有更多时间用于判断、战略和仍然需要人类参与的高价值决策。
正如Junestrand所说：“这是历史上做律师最好的时代。”
Building for a profession where time—and trust—are scarce
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.
An AI-native company building an AI-native 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.
Giving Legora’s own lawyers room to do higher-value work
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.”
—Emma Kadri Bergström, General Counsel, Legora
From faster review to broader, higher-quality analysis
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.
Results at a glance
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.
Leadership lessons
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.
What’s next
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.”
—Jacob Lauritzen, CTO, Legora
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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