智东西（公众号：zhidxcom）
编译 | 孙小雯
编辑 | 程茜
智东西10月22日消息，昨日，瑞典法律AI独角兽Legora宣布完成5.5亿美元（约合人民币36.96亿元）E轮融资，投后估值达到88亿美元（约合人民币591.36亿元）。该公司计划将资金用于拓展北美、欧洲及亚太市场，并继续开发面向法律工作的智能体。
本轮融资由Atreides Management领投，摩根大通、富达管理研究公司、美国资本集团等新投资者参投，现有投资方基准资本、红点创投、Accel等继续参与。
Legora成立于2023年，主要为律所和企业法务部门开发AI工作平台。该平台结合大模型、客户文件、业务规则及法律工具，辅助律师审查合同、起草文件、整理证据，并执行多步骤法律任务。
Legora联合创始人兼CEO Max Junestrand拥有技术和商业背景，曾在瑞典皇家理工学院和斯德哥尔摩经济学院学习计算机与商科，之后在爱立信从事软件开发，也曾在麦肯锡工作。
Junestrand并非律师出身。据他透露，为了解律师的实际需求，创业初期，团队曾搬进北欧大型律所Mannheimer Swartling的办公室，与律师共同打磨产品。
▲Legora联合创始人兼CEO Max Junestrand
此前，Legora已完成6轮融资，累计融资约8.66亿美元（约合人民币58.20亿元）。今年4月，Legora为D轮追加5000万美元（约合人民币3.36亿元），英伟达旗下投资机构NVentures和企业协作软件公司Atlassian在此时加入，使D轮融资总额达到6亿美元（约合人民币40.32亿元）。
资金之外，Legora的收入也在增长。该公司在此次融资公告中称，其年度经常性收入（ARR）已超过2亿美元（约合人民币13.44亿元），从突破1亿美元（约合人民币6.72亿元）到突破2亿美元（约合人民币13.44亿元），用时不到六个月。本轮投后估值相比今年4月D轮融资时的56亿美元（约合人民币376.32亿元），半年上涨约57%。
一、服务14万多名法律人士，可审合同、起草文件
据Legora披露，目前其已覆盖80多个市场，服务2400多家律所及企业法务团队、14万多名法律专业人士。
该公司称，美国已成为其收入贡献最大的市场。除律所外，其也在拓展企业法务客户，今年第三季度，企业法务团队占新增客户的比例已超过40%。
Legora将其法律AI工作平台称为“智能体操作系统”aOS。该公司称，平台连接客户文件、数据源和工具，由核心智能体Legora Agent拆解任务、调用工具并执行，最终结果交由律师审核。
针对具体工作，平台提供不同工具。其中，Tabular Review用于批量审查文档，可从数千份文件中提取信息并整理为表格，帮助律师比较合同条款、识别风险，分析结果附有原文出处。
▲Tabular Review将文件信息整理为表格，并展示对应的合同原文（图源：Legora）
Word插件则支持律师在文档中起草、修改和审查合同，按律所预设规则标出不符合要求的条款，并提出修改建议。 Legora称，本轮融资将支持其继续完善aOS，进一步开发法律服务请求受理、法规变化监测及法律研究等功能。
▲Legora Word插件生成合同修改建议（图源：Legora）
二、Harvey上月融资5.5亿美元，两家公司争夺大型律所客户
Legora扩张的同时，美国法律AI独角兽Harvey也在融资。今年9月，这家竞争对手完成了同样规模的5.5亿美元（约合人民币36.96亿元）融资，估值达到155亿美元（约合人民币1041.6亿元）。
两家公司均面向律所和企业法务部门，提供法律研究、合同审查、文件起草及智能体工作流等功能。
目前，两家公司均已获得众多美国头部律所客户。Harvey今年9月称，按营收排名的美国前100家律所中，80%使用其产品；Legora则在10月披露，美国前50家律所中，超过半数已成为其客户。
除了应用平台，Harvey也在开发法律专用模型。今年8月，该公司公布法律模型Harvey Tenet的研究预览。这一模型由该公司与Fireworks合作，基于Kimi K3进行后训练，面向需要连续执行多个步骤的法律任务。
据路透社报道，一些大型律所在采购外部AI工具的同时，也在自行开发相关功能。例如，年利达律师事务所于2025年在全所部署Legora。该律所在今年5月的公告中称，其已成立由律师和数据科学家组成的团队，针对现成软件无法满足的复杂业务需求，设计定制AI工作流。
结语：资本押注法律AI，实际提效是客户付费关键
Legora的增长表明，法律AI的客户正在从律所扩展到企业内部法务，其产品也从单项检索、起草工具，延伸至连续处理多步骤任务的工作平台。
Legora与Harvey接连获得大额融资，说明资本仍看好AI在专业服务市场的商业化机会。对于法律AI公司来说，单项功能只是起点，让产品进入律所和企业法务团队的日常工作，并获得客户持续付费，才是扩大业务规模的基础。
随着法律AI承担的工作增多，客户对产品的要求也会更加具体：能否减少重复劳动、缩短业务处理时间，并提供可供律师核查的结果，将影响客户是否愿意持续使用和付费。
来源：Legora、Harvey、路透社、TechCrunch
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Intellectual (WeChat Official Account:zhidxcom)
Compiled by Sun Xiaoxuan
Editor, Concubine.
According to the source, yesterday, 22 October, Swedish law AI unicorn Legora announced the completion of the $550 million (approximately $3.696 billion RMB) E round of financing, valued at $8.8 billion (approximately $5.9136 billion RMB). The company plans to use funds to expand markets in North America, Europe and Asia and the Pacific and to continue to develop law-oriented AI agent.
This round of financing is led by Atreides Management, with the participation of new investors such as Morgan Chase, Fuda Management Research, United States Capital Group, and the continued participation of existing investor base capital, Red Point Investment, Accel and others.
Legora was founded in 2023 to develop the AI work platform, mainly for firms and business law. The platform combines LLM, client documentation, business rules and legal tools to assist lawyers in reviewing contracts, drafting documents, collating evidence and carrying out multi-step legal tasks.
The co-founder of Legora and CEO Max Junestrand, with a technical and commercial background, has studied computer and business at the Royal Swedish Institute of Technology and the Stockholm School of Economics, followed by software development in Ericsson and also in McKinsey.
Junestrand is not a lawyer. According to him, in order to understand the real needs of lawyers, the team moved into the offices of Mannheimer Swartling, a major Nordic firm, to work with lawyers to grind products.
Co-founder and CEO Max Jungola
Prior to this, Legora had completed six rounds of financing, with cumulative financing of about $866 million (approximately $5,820 million yuan). In April of this year, Legora added $50 million (approximately $336 million RMB) to the D round, and the United Kingdom investment agency, NVentures, and Atlassian, a corporate collaborative software company, joined at this time, bringing the total D round financing to $600 million (approximately RMB 4.03 billion).
Beyond the funds, Legora's income is also growing. In this financing announcement, the company stated that its annual recurrent income (ARR) had exceeded $200 million (approximately RMB 1,344 million), from over $100 million (approximately RMB 672 million) to over $200 million (approximately RMB 1,344 million), which took less than six months. The current round of post-investment valuations rose by about 57 per cent in six months, compared to $5.6 billion (approximately 37.632 billion yuan yuan) in April of this year in the D round of financing.
I. Services to over 140,000 legal persons, reviewable contracts, drafting documents
According to Legora, it now covers more than 80 markets, serving more than 2,400 firms and business law teams, and more than 140,000 legal professionals.
According to the company, the United States has become the market for the largest contribution of its revenues. In addition to the firm, it is also expanding its corporate legal clients, which in the third quarter of this year accounted for over 40 per cent of the new clients.
Legora calls its legal AI platform “AI agent Operating System” aOS. According to the company, the platform connects client files, data sources and tools, with the core AI agent Legora Agent decomposition task, call tools and execution, and the final results are reviewed by counsel.
The Platform provides different tools for specific work. Of these, Tabular Review is used to review volume files, extracting information from thousands of documents and collating it in forms to assist counsel in comparing contract terms and identifying risks, with the results of the analysis being accompanied by the original source.
Tabular Review organizes document information into tables and displays the corresponding original contract (source: Legora)
Word Plugin supports lawyers in drafting, modifying and reviewing contracts in their files, marking non-conforming provisions in accordance with the pre-established rules of the firm and proposing amendments. Legora stated that the current round of finance would support its continued development of aOS, further development of the functions of legal service requests processing, monitoring of regulatory changes and legal research.
▲Legora Word Plugin Generation Proposal for Contract Amendment (source:Legora)
ii. Harvey raised $550 million last month and two companies competed for large firm clients.
Legora's expansion was accompanied by funding from the American law AI unicorn Harvey. In September this year, this competitor completed financing of $550 million of the same size (approximately RMB 3,696 million), valued at $15.5 billion (approximately RMB 10,416 million).
Both companies provide legal research, contract review, document drafting and AI agentworkflow functions for law firms and business law departments.
Currently, both companies have a large number of front office clients. In September of this year, Harvey stated that 80 per cent of the top 100 firms in the United States were using their products, ranked on the basis of earnings, while Legora disclosed in October that more than half of the top 50 firms in the United States had become their clients.
In addition to the application platform, Harvey is developing a dedicated legal model. In August this year, the company published a research preview of the legal model Harvey Tent. This model is based on post-training conducted by the company in cooperation with Fireworks and based on Kimi K3 and is oriented towards legal tasks requiring several successive steps.
According to Reuters, some large firms are also developing their own functionality while procuring external AI tools. For example, Legora was fully deployed in 2025 at Leda Law Office. In its bulletin of May this year, the firm stated that it had formed a team of lawyers and data scientists to design and customize AZworkflow for complex business needs that could not be met by off-the-shelf software.
Conclusion: Capital bet on legal AI, the practical effect is the key to client paid
Legora ' s growth shows that the clients of Legal AI are expanding from the firm to the internal law of the enterprise, and its products are also extending from individual retrieval and drafting tools to work platforms for successive multi-step tasks.
Legora and Harvey successively have access to large amounts of financing, indicating that capital continues to appreciate opportunities for the commercialization of AI in professional services markets. For Legal AI, single functions are only the starting point, allowing products to enter the day-to-day work of the firm and the business law team, and obtaining continuous paid for clients, which is the basis for scaling up operations.
As the work undertaken by the Legal AI increases, client demand for products becomes more specific: the ability to reduce duplication of work, reduce transaction processing time and provide results that can be verified by counsel will affect the client ' s willingness to continue using and paid.
Source: Legora, Harvey, Reuters, TechCrunch
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