AI is continuously developing super super quickly and that means we need to do the same. We're finding that as we go deeper and deeper and deeper in the entire legal software stack, we're also seeing that the line between software and service is blurring. I think that's been one of our strengths as a company to say we don't know exactly where the future's going, but neither do you.So, let's work together to make sure that we're both winners in whatever happens. [Music] Today, I'm joined by Max Junior Strand ...

CS Disco (LAW) Q2 2025 Earnings Call August 06, 2025 05:00 PM ET Speaker0Ladies and gentlemen, thank you for standing by, and welcome to CS DISCO's Second Quarter Fiscal Year twenty twenty five Conference Call. At this time, all participants are in a listen only mode. All lines have been placed on mute to prevent any background noise. After the speakers' remarks, there will be a question and answer session. I would now like to hand the conference over to your first speaker today, Head of Investor Relations, ...

INVESTOR PRESENTATION Q2 FY25 Disclaimer Forward-Looking Statements The outcome of the events described in these forward-looking statements is subject to known and unknown risks, uncertainties, and other factors that may cause our actual results, performance, or achievements to differ materially, including (i) our history of operating losses; (ii) our limited operating history; (iii) our ability to maintain and advance our innovation and brand; (iv) our ability to effectively add new customers; (v) our abil ...

Group 1 - The legal industry is undergoing a transformation due to the integration of digital technology and artificial intelligence, which is reshaping operational models and permeating the entire legal service chain [1] - There is a significant increase in judicial cases related to business secrets and personal privacy, highlighting the challenges of data security and privacy protection [1] - iCourt, a leading legal tech company, has introduced the AlphaGPT localized deployment solution, focusing on "data sovereignty" and "data security" to create a robust digital barrier for enterprises [1] Group 2 - AlphaGPT, as a legally compliant generative model, establishes a comprehensive security system covering the entire lifecycle of data collection, storage, and application [2] - The localized deployment of AlphaGPT allows for data to remain within a user-controlled hardware environment, mitigating third-party intervention risks, and offers cost-effective solutions for small and medium-sized enterprises [2] - AlphaGPT supports hardware-level data isolation for manufacturing scenarios and provides features like multi-level access permissions and real-time traceability to ensure precise accountability [2] Group 3 - Beyond data security, AlphaGPT integrates various resource libraries, including case analysis and similar case judgment databases, to build a comprehensive legal framework [3] - The system can quickly reference authoritative and relevant legal precedents and rules, significantly enhancing the professionalism and rigor of legal services [3] - AlphaGPT retains case data, document templates, and strategic experiences locally, improving knowledge reuse and facilitating the rapid development of new legal professionals [3] - Overall, AlphaGPT's localized deployment addresses security pain points in the legal industry while unleashing the productive value of AI technology, evolving from a mere tool to a "digital gatekeeper" [3]

此轮 C 轮融资由高盛成长权益基金领投，现有投资者 World Innovation Lab （ WiL ）继续跟投。新 加入的投资方包括日本森滨田松本律师事务所、瑞穗银行以及商工组合中央金库。 图片来源： LegalOn 合同审查仍然是一个缓慢的手动流程，给法务团队带来巨大压力，迫使律师们不得不梳理冗长的法律 条文、标记风险并解释法律术语。 C 轮融资使 LegalOn 的总融资额突破 2 亿美元。其投资者包括软银愿景基金、弘毅投资（原红杉中 国）、日本风投机构 JAFCO 以及三菱 UFJ 银行。 事实上，这一问题如此普遍，以至于过去几年总部位于东京的 LegalOn Technologies 一直对该市场敞 开大门：该公司声称，其面向法务团队的人工智能合同审查软件目前已被日本、美国和英国的 7000 家机构采用，并在日本市场占据领先地位，该国 25% 的上市公司都在使用其平台。 LegalOn 的人工智能合同审查工具 Review 能根据律师编写的操作手册及每位客户的法律标准识别风 险并提出修改建议。该公司宣称 Review 可将审查时间缩短高达 85% ，同时提升质量和准确性。 然而成功并未削弱 Le ...

Core Insights - Crosby has secured $5.8 million in seed funding from Sequoia Capital and Bain Capital, focusing on enhancing sales contract review efficiency for high-growth go-to-market (GTM) startups [2][3] - The company aims to reduce traditional contract review times from 2-7 days to under 60 minutes, achieving an 80% acceleration in the review process [2][12] - Crosby's innovative approach combines AI pre-processing with licensed attorney review, creating a unique dual-entity operational model that enhances both speed and compliance [11][13] Company Overview - Crosby targets the $300 billion legal services market, addressing the significant pain point of slow contract processing that hampers business progress [4][5] - The company positions contracts as "APIs," promoting a seamless integration of legal processes into business operations [5][7] - Crosby's automated contract processing system includes features like risk clause identification, integration with tools like Slack and CRM, and real-time contract status updates [9][15] Market Strategy - The company adopts a proactive approach, directly addressing the needs of high-growth GTM startups that require rapid contract processing to avoid revenue delays [13][19] - Crosby's fixed pricing model replaces traditional hourly billing, providing startups with predictable cost structures [19] - The company has successfully implemented pilot projects with clients like Cursor, Clay, and UnifyGTM, showcasing its efficiency in contract processing and driving growth through real user feedback [16][20] Team Composition - Crosby's team consists of experienced legal professionals from prestigious backgrounds, ensuring high-quality contract review alongside its AI capabilities [22] - The engineering team, with experience from major tech companies, supports rapid iteration and development of the company's hybrid architecture [22]

Core Viewpoint - The legal industry is undergoing a significant transformation due to digitalization, with AI technologies being integrated into core legal services such as contract review and case hearings, raising critical issues around data security and privacy protection [1] Group 1: Local Deployment and Security - The legal services sector has high standards for technology platforms due to the sensitivity of data involved, including case files and client information [2] - iCourt's AlphaGPT is fully deployed on local servers to avoid information leakage risks associated with cloud uploads, creating a closed-loop system from data input to content output [2] - AlphaGPT adheres to the "data does not leave the domain" principle, allowing all processes to occur within the internal network, thus minimizing the risk of data breaches [2] Group 2: Customization and Optimization - Unlike cloud-based services that offer a one-size-fits-all approach, AlphaGPT allows institutions to optimize and integrate its functionalities based on their specific business characteristics [3] - For small and medium-sized law firms, AlphaGPT can be accessed via a web interface, while for cross-border trade scenarios, it can automatically optimize contract terms according to jurisdictional legal differences [3] - These measures not only address user data sovereignty and security concerns but also reflect the professionalization and high-end development of legal services [3] Group 3: Knowledge Database and Asset Value - AlphaGPT aims to create a "legal memory bank" on local servers, systematically retaining case data, document templates, and practical experiences to enhance knowledge reuse and shorten training cycles for new employees [4] - The model can access a database of over 181 million cases and more than 5.6 million legal regulations, providing comprehensive and timely content support to users [4] - The shift from cloud to local deployment represents a recalibration of the relationship between "technology empowerment" and "security bottom line" in the legal services industry [4]

Core Insights - The legal industry is undergoing a transformative change driven by technological advancements, particularly generative AI, which is reshaping traditional legal services [1][2] - By 2025, AI is expected to transition from a supportive role to a more autonomous function, capable of executing complex tasks independently [2] - The integration of AI into legal workflows is becoming a focal point, emphasizing the need for stability, security, and measurable business value [2] Industry Trends - AI tools like Thomson Reuters' Westlaw Precision and Harvey AI are enhancing legal research and document management, marking a shift from auxiliary tools to core business process drivers [3] - The emergence of AI in legal services is prompting law firms to collaborate closely with legal tech companies to address the supply-demand imbalance in legal services [8] - The legal tech landscape is evolving rapidly, with a significant focus on the integration of AI capabilities into daily legal practices [3][8] Key Events - The "Dawn of Legal AI" forum held in Shanghai gathered over 300 experts and representatives to discuss the integration of AI in legal services and share insights on future developments [3] - Shanghai Zhihui Network Technology Co., Ltd. was recognized as one of the top ten "Pioneering Enterprises in Legal AI" at the forum, highlighting its contributions to the field [4] Leadership Insights - Liu Qiming, co-founder of Zhihui, emphasized the importance of distinguishing between tasks suited for humans and those for machines in the evolving legal landscape [5][7] - The future of law firms will require professionals to possess a keen understanding of the differences between human and machine capabilities, which will be crucial for maintaining competitiveness [7][13] Digital Transformation - Law firms are encouraged to embrace digital transformation, with a focus on developing a "digital brain" that can accurately assess the capabilities of both humans and machines [13] - The digitalization of legal services is seen as an irreversible trend, necessitating a shift in how legal professionals are trained and selected [13][12] User Engagement - Legal tech companies are analyzing user segments, with professional lawyers showing higher engagement with legal tech products, indicating a shift towards machine-delivered legal services [15] - The validation of legal tech products can be effectively tested through trial periods with legal professionals to ensure market fit and usability [18][20]

图片来源： Legora Z Highlights 1 ） Tabular Review （表格化审查） Legora 的 Review 功能专为律师在合同审阅、尽调和法律研究中处理海量文件而设计，支持对成千上万页的文档进行快速、智能的批量分析。 用户可以通 过 Microsoft Word 插件直接调用系统，在熟悉的编辑界面中获得个性化的智能批注建议。系统通过 Tabular Review （表格化审阅）模式，使海量合同信 息一目了然，便于快速筛选重点与差异化条款。 该功能支持审阅各类重要法律文件，如合伙协议（ Partnership Agreements ）、知识产权协议（ IP Agreements ）和政府采购合同（ Government Contracts ），能够比对不同版本或不同文档中的结构、所有权、决策机制等内容，例如迅速回答 " 是否允许借贷 " 等查询。 01 创业故事：从观察朋友痛苦到重新定义法律工作 Legora 的创业故事始于对朋友痛苦的观察。 CEO Max Junestrand 回忆道： " 这一切始于我们观察到法律工作的日常苦累：无休止的文档审查、大量的研究 工作、一遍遍起草动 ...

图片来源： Harvey AI 法律工作自动化初创公司 Harvey AI 向《财富》透露，已在 E 轮融资中筹集 3 亿美元，估值达到 50 亿美元。 本轮融资由 Kleiner Perkins 和 Coatue 共同领投， Conviction 、 Elad Gil 、 OpenAI Startup Fund 和 红杉资本等现有投资方跟投。 编译： ChatGPT -----------END----------- 我们正在招募新一期的实习生 此次融资距离 Harvey 宣布完成红杉资本领投的 3 亿美元 D 轮融资（估值 30 亿美元）仅过去四个 月。 报道指出，当多数 AI 企业力求控制员工规模时， Harvey 却在快速扩张团队。这家成立 3 年的初创 公司现有 340 名员工，计划利用新资金将团队规模翻倍。 部分新员工将协助开发法律领域外的专业服务 AI 产品，包括税务会计方向。该公司的 AI 解决方案 可协助律师审阅文件、起草合同，目前服务着 337 家法律客户。 Harvey 公司增长迅猛，据路透社上月报道 ，其年化经常性收入从年初的 5000 万美元跃升至 4 月的 7500 万美元。 哈维 ...