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市场调查报告书
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1433854

法律产业中的人工智慧软体：市场占有率分析、产业趋势/统计、成长预测（2024-2029）

AI Software in Legal Industry - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2024 - 2029)
出版日期: | 出版商: Mordor Intelligence | 英文 142 Pages | 商品交期: 2-3个工作天内

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简介目录

预计2024年全球法律产业人工智慧软体市场规模将达到21.9亿美元，并在2024-2029年预测期间以10.70%的复合年增长率成长，到2029年将达到36.4亿美元。

法律产业市场的人工智慧软体

人工智慧 (AI) 始终处于利用新技术突破提高法律产业生产力和效率的前沿。此外，自然语言处理、神经网路和晶片的进步以及处理能力的提高正在增加其在法律领域的应用价值。

主要亮点

  • 法律产业已经开始频繁运用人工智慧技术来有效率地处理法律业务。例如，内部法务部门经常花费 50% 的时间审查合同，即使是像保密协议这样简单的合同，也会减慢业务并造成不必要的瓶颈。Masu。人工智慧可以让律师专注于每份合约的相关部分，从而节省无数时间。
  • 由于电子取证、合约审查和管理、案件预测和合规性等领域对自动化的需求不断增加，该市场正在不断增长。为了帮助企业创造有形价值，合约管理自动化可以提高团队完成交易的能力，加强与客户的联繫，并对组织的许多其他领域产生积极影响。如果不遵守 HIPAA、PCI DSS、GDPR 和其他财务法规等不断扩展的标准，您将付出更多代价。根据 Globalscape 统计，金融业企业遵守资料保护 IT 规则的成本约为 547 万美元，而当企业考虑罚款、生产力损失和利润时，违规的成本则接近 1500 万美元。 。
  • 与采用固定模型来分析资料集的预测性法律软体不同，法律人工智慧会不断适应新资讯。根据 2021 年安永法律调查，88% 的总法律顾问希望在未来四年内最大限度地降低其法律部门的成本。调查还表明，持续监控合约风险对 GC 来说有点困难。 71% 的受访者表示，他们无法标记“偏离标准条款的合约”，78% 的受访者表示，他们“没有系统地追踪合约义务”。
  • 人工智慧与法律的交叉预计在预测期内将显着增加。人工智慧（AI）可用于执行实质审查（合约审查、法律研究以及执行实质审查的电子证据揭示功能）、预测技术（预测法庭上可能的结果），还可以用于各种任务，包括法律分析（提供律师可以在目前诉讼中使用的过去案件和先例法的资料点）、文件创建自动化、智慧财产权和各种其他任务。
  • 法律研究的复杂性使其既耗时又乏味。许多律师事务所为实现高效、准确的法律研究业务而必须缩短的周转时间，进一步凸显了对人工智慧的需求。人工智慧软体可以显着提高生产力和准确性，帮助法官更快做出决定。例如，ROSS Intelligence 使用自动化技术快速审查合约。该计划将突出显示适当的文件。使用正确的软体可以大大增强和简化法律研究。
  • 除了多个国家法律架构外，经济合作暨发展组织(OECD) 还列出了 2021 年遍布 60 个国家的 700 个人工智慧政策计划。在欧盟，预计 2022 年敲定的新人工智慧法将对高风险人工智慧系统进行明确、彻底的监管。儘管已经提案了许多与人工智慧相关的法案，美国尚未接受欧盟委员会提案的人工智慧监管综合方法。
  • 同时，COVID-19 的爆发导致更多的企业法律部门和律师事务所为其法律图书馆购买人工智慧/机器学习解决方案。 E- 搜寻软体和其他人工智慧平台在对抗COVID-19的斗争中受益匪浅。此类软体有可能加速医学研究人员对如何治疗 COVID-19 的研究，并且正在创建以帮助诉讼律师更快地了解案件的核心。

法律产业人工智慧软体市场趋势

云端预计将占据很大份额

  • 事实证明，云端基础的业务管理软体比本地系统具有众多优势，包括一致的可用性、效率和简单的扩充性，所有这些都提高了律师的法律业务和生产力。它有助于提高盈利。
  • 此外，人工智慧解决方案必须透过与律师事务所的 Microsoft Active Directory 建立的安全性使用者登入和权限同步来保护敏感资料。出于保密原因，这些人工智慧系统通常安装在律师事务所防火墙后面或私有云端中。
  • 在快速适应和弹性方面，云端解决方案优于本地解决方案。云端解决方案已成为需要随规模扩展的实践管理系统的小型律师事务所的理想选择。律师事务所可以将最相关的模组和功能整合到其现有的解决方案中。
  • 此外，云端解决方案透过利用集中式资讯系统，实现同事、客户和第三方之间的安全通讯和文件共用。您可以减少仅依赖电子邮件的固有危险。
  • Casepoint 的技术透过快速的企业级解决方案提供全方位的法律发现。透过评估单一平台，客户可以管理和监控从合法持有到生产的整个发现过程，无需登入和退出不同的程序以及手动移动资讯。

预计北美将占据主要份额

  • 人工智慧的使用正在增加。此外，为法律产业提供人工智慧平台和工具的公司在该地区拥有强大的影响力。例如 OpenText Corporation、IBM Corporation、Ross Intelligence Inc.、Veritone Inc. 和 Neota Logic Inc.。
  • 近年来，北美出现了一些最重要的法律科技新兴企业投资。 Onit是一家总部位于美国的法律合约管理企业工作流程解决方案提供商，已获得2亿美元的策略性投资。加拿大云端法律管理新兴企业Clio 获得 2.5 亿美元 D 轮资金筹措。这是对法律和加拿大科技公司最重要的投资之一。
  • 全球法律界最近发生了重大变化，北美律师事务所也跟进。实质审查、合约分析、房地产分析、智慧财产权和争议解决都受益于人工智慧功能。技术工具提高公司的效率和竞争力。
  • 企业培养箱和创新实验室的可用性将有助于该地区开发基于人工智慧的法律软体。为了促进法律科技的出现，老牌律师事务所、ALSP（如汤森路透）、四大银行和金融公司（如巴克莱银行）已经合作或建立了培养箱。这些培养箱为创新公司提供在市场上取得成功所需的指导、知识和（在某些情况下）融资，并为法律科技新兴企业扩大发展提供支援和空间。我们提供

法律业AI软体产业概况

法律产业的人工智慧软体市场的市场渗透率较低，为现有公司和寻求进入该领域的外部人士创造了巨大的潜力。然而，目前的市场参与企业比新参与企业俱有压倒性的优势。由于良好的未来性、增加的投资和支援活动，当前市场参与企业之间的竞争预计将加剧。

  • 2023 年 5 月 - LexisNexis Group Inc. 宣布推出 Nexis Hub，这是一款支援和简化任何研究工作流程的新工具。这项创新的解决方案专为满足忙碌的专业人士的需求而开发，它与 Google Chrome 和 Microsoft Word 集成，帮助用户简化复杂且耗时的研究收集和报告撰写过程。
  • 2023 年 5 月 - Luminance Technologies Ltd 宣布其专业大规模语言模型 (LLM) 的最新前沿应用，即人工智慧驱动的「Ask Lumi」聊天机器人。 Ask Lumi 是第一个由合法级人工智慧驱动的聊天机器人。使用者可以在 Microsoft Word 中开启合同，向 AI 询问有关合约的问题，并立即获得答案。相比之下，Luminance 的 Legal Pre-Trained Transformer (LPT) 技术仅从合法检验的文件中学习。产生内容、分析和理解内容，即使内容是由第三方创建或编辑的。生成型人工智慧和分析型人工智慧的强大结合确保了法律的最大严谨性。

其他福利

  • Excel 格式的市场预测 (ME) 表
  • 3 个月分析师支持

目录

第一章 简介

  • 研究假设和市场定义
  • 调查范围

第二章调查方法

第三章执行摘要

第四章市场洞察

  • 市场概况
  • 产业吸引力－波特五力分析
    • 供应商的议价能力
    • 消费者议价能力
    • 新进入者的威胁
    • 替代品的威胁
    • 竞争公司之间敌对关係的强度
  • 评估 COVID-19 对市场的影响

第五章市场动态

  • 市场驱动因素
    • 法律行业对自动化的需求不断增长，诉讼数量不断增加
    • 律师事务所越来越多地使用人工智慧来完成法律事务
  • 市场限制因素
    • 敏感或合法资料的资料问题

第六章市场区隔

  • 按成分
    • 解决方案
    • 服务
  • 按介绍
    • 本地
    • 云
  • 按用途
    • 法律调查
    • 合约审查与管理
    • 电子帐单
    • 电子发现
    • 遵守
    • 病例预测
    • 其他用途
  • 按最终用户
    • 律师事务所
    • 企业法务部
    • 其他最终用户
  • 按地区
    • 北美洲
    • 欧洲
    • 亚太地区
    • 拉丁美洲
    • 中东/非洲

第七章 竞争形势

  • 公司简介
    • Luminance Technologies Ltd
    • Ross Intelligence Inc.
    • Kira Inc.
    • IBM Corporation
    • Lexisnexis Group Inc.（RELX Group Plc）
    • Cs Disco Inc.
    • Thomson Reuters Corporation
    • Veritone Inc.
    • Casetext Inc.
    • Neota Logic Inc.
    • Brainspace Corporation
    • Smokeball Inc.
    • Text IQ Inc.
    • Opentext Corporation

第八章投资分析

第9章市场的未来

简介目录
Product Code: 66597

The AI Software Market in Legal Industry is expected to grow from USD 2.19 billion in 2024 to USD 3.64 billion by 2029, at a CAGR of 10.70% during the forecast period (2024-2029).

AI Software in Legal Industry - Market

Artificial intelligence (AI) has always been at the forefront of utilizing new technical breakthroughs for productivity and efficiency improvements in the legal industry. Also, due to the advancements and the increase in processing power in NLP, neural networks, and chips, the legal sector is observing improved value in its application.

Key Highlights

  • The legal industry has started implementing AI technologies more frequently to handle legal operations effectively. For instance, an internal legal department often spends 50% of its time examining contracts, even those as simple as non-disclosure agreements, slows down operations and causes unnecessary bottlenecks. By enabling lawyers to concentrate their review on the pertinent sections of each contract, AI can save countless hours.
  • The market is expanding due to the growing demand for automation in fields including eDiscovery, contract review and management, case prediction, and compliance. In order to help businesses generate tangible value, automation in contract management improves a team's capacity to close agreements, strengthens connections with clients, and positively impacts many other areas of the organization. It costs more money to not comply with growing standards like HIPAA, PCI DSS, GDPR, and other financial regulations. According to Globalscape, it costs firms in the financial sector roughly USD 5.47 million to comply with IT rules for data protection, and when a company takes into account fines, lost productivity, and profits, the cost of non-compliance is close to USD 15 million.
  • Legal AI continuously adapts in reaction to new information, unlike predictive legal software, which employs fixed models to analyze data sets. According to the 2021 EY Law Survey, 88% of General Counsels are eager to minimize the overall legal department costs within the next four years. The survey also suggested that continuously monitoring contract risks is a bit struggle for GCs. While 71% of respondents noted that they can't flag contracts "for deviations from standard terms," and 78% stated "they don't systematically track contractual obligations."
  • The intersection of AI and law is anticipated to increase significantly throughout the forecast time period. Artificial intelligence (AI) can also be used for a variety of tasks, including due diligence (to review a contract, conduct legal research, or perform electronic discovery functions to do due diligence), prediction technology (to predict the likely outcome of cases being decided before a court of law), legal analytics (to provide data points from previous case laws and judgments and precedent law that lawyers can use in their present cases), automation of documentation, Intellectual property, a variety of other tasks, and several others.
  • Due to the complexity involved in legal research, it can be time-consuming and tedious. The necessity for AI is further highlighted by the shorter deadlines that most law firms get to achieve efficient and precise legal research work. AI software can dramatically increase productivity and accuracy, helping judges make quick decisions. For instance, the ROSS Intelligence company uses automated technologies to examine contracts quickly. The program emphasizes pertinent documents. Legal research can be substantially enhanced and streamlined with the appropriate software.
  • In addition to several domestic legislative frameworks, the Organization for Economic Co-operation and Development (OECD) listed 700 AI policy projects across 60 nations in 2021. High-risk AI systems will be clearly and thoroughly regulated in the European Union with the new Artificial Intelligence Act, which is anticipated to be finalized in 2022. Although many AI-related legislation suggestions have been put out, the United States has not embraced the European Commission's suggested all-encompassing approach to AI regulation.
  • On the other hand, a wide range of corporate legal departments and law firms bought AI/machine learning solutions for their law libraries due to the outbreak of COVID-19. In law libraries, technology has a significant role. eDiscovery software and other artificially intelligent platforms have benefited in the fight against COVID-19. Such software, which has the potential to speed up medical researchers' investigations into how to cure COVID-19, is created to assist litigation attorneys in getting to the heart of a case more rapidly.

Legal AI Software Market Trends

Cloud is Expected to Hold Significant Share

  • Cloud-based practise management software has been proven to have numerous advantages over on-premise systems, including consistent availability, efficiency, and simple scalability, all of which assist attorneys boost the productivity and profitability of their law business.
  • Furthermore, AI solutions must protect sensitive data by synchronising with the secure user logins and permissions established by the law firm's Microsoft Active Directory or maybe configured for something like their Box cloud storage. To preserve secrecy, these AI systems are typically installed on-premise behind a law firm's firewall or in a private cloud.
  • When it comes to quick adaption and flexibility, cloud solutions outperform on-premise alternatives. Cloud solutions have emerged as the ideal option for small law firms in need of a practise management system that will scale with them. Law firms can integrate the modules or features that are most relevant to them into their existing solution.
  • Furthermore, cloud solutions enable safe communication and file sharing among colleagues, clients, and third parties by utilising a centralised information system. It mitigates the inherent hazards of depending entirely on email.
  • Casepoint's technology provides full-spectrum legal discovery with quick, enterprise-class solutions. through evaluate its single platform, their clients can manage and monitor the whole discovery process from legal hold through production, avoiding the need to log in and out of different programmes or manually move information.

North America is Expected to Hold a Major Share

  • Rising usage of AI. Furthermore, there is a considerable presence in the region among firms that provide platforms and tools for artificial intelligence to the legal industry. Examples include OpenText Corporation, IBM Corporation, Ross Intelligence Inc., Veritone Inc., and Neota Logic Inc.
  • In recent years, North America has seen some of the most important legal, technical startup investments. Onit, a US-based firm that provides corporate workflow solutions for legal and contract administration, has received a USD 200 million strategic investment. Clio, a cloud legal management startup located in Canada, has received a USD 250 million Series D fundraising round. This was one of the most significant investments in a legal and Canadian technology firms.
  • The worldwide legal department has seen significant changes recently, and North American law firms are following suit. Due diligence, contract analysis, real estate analysis, intellectual property, and conflict resolution all benefit from artificial intelligence capabilities. Technology tools improve the company's efficiency and competitiveness.
  • The availability of company incubators and innovation laboratories aids the region's development of AI-based legal software. To promote the emergence of legal technology, established law firms, ALSPs (such as Thomson Reuters), the Big Four, and financial corporations (such as Barclays) cooperated or founded their incubators. These incubators give access to the guidance, knowledge, and, in some cases, financing that innovative enterprises require to flourish in the market, as well as space to assist legal tech startups and scale-up growth.

Legal AI Software Industry Overview

The legal industry's AI software market has a low market penetration rate, creating tremendous potential for incumbent companies and outsiders looking to enter the sector. However, current market participants have a tremendous edge over any new entrants. Due to the outstanding prospects, rising investments, and supporting activities, competition among present market participants is expected to heat up.

  • May 2023 - LexisNexis Group Inc has announced the launch of Nexis Hub, a new tool that supports and streamlines any research workflow to accelerate time to insight. The innovative new solution, created to meet the needs of busy professionals, integrates with Google Chrome and Microsoft Word to help users streamline the complicated and time-consuming process of collecting research and creating reports.
  • May 2023 - Luminance Technologies Ltd has launched the latest cutting-edge application of its specialist legal large language model (LLM), the AI-powered 'Ask Lumi' chatbot. 'Ask Lumi' represents the first chatbot underpinned by this legal-grade AI. It allows users to open any contract in Microsoft Word, ask the AI questions about their agreement, and receive instant responses. In contrast, Luminance's Legal Pre-Trained Transformer (LPT) technology learns solely from legally verified documents. It is able to produce content and analyze and understand the content, even that created or edited by third parties. This powerful combination of both generative and analytical AI ensures the utmost legal rigor.

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Assumption And Market Defination
  • 1.2 Scope of the study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET INSIGHTS

  • 4.1 Market Overview
  • 4.2 Industry Attractiveness - Porter's Five Forces Analysis
    • 4.2.1 Bargaining Power Of Suppliers
    • 4.2.2 Bargaining Power Of Consumers
    • 4.2.3 Threat Of New Entrants
    • 4.2.4 Threat Of Substitute Products
    • 4.2.5 Intensity Of Competitive Rivalry
  • 4.3 Assessment of COVID-19 Impact on the Market

5 MARKET DYNAMICS

  • 5.1 Market Drivers
    • 5.1.1 Growing Demand For Automation And Increasing Number Of Litigations In The Legal Industry
    • 5.1.2 Growth In The Utilization Of AI By Legal Companies To Complete Legal Cases
  • 5.2 Market Restraints
    • 5.2.1 Data Privacy Concerns Of The Confidential And Legal Data

6 MARKET SEGMENTATION

  • 6.1 By Component
    • 6.1.1 Solution
    • 6.1.2 Services
  • 6.2 By Deployment
    • 6.2.1 On-premise
    • 6.2.2 Cloud
  • 6.3 By Application
    • 6.3.1 Legal Research
    • 6.3.2 Contract Review and Management
    • 6.3.3 E-billing
    • 6.3.4 E-discovery
    • 6.3.5 Compliance
    • 6.3.6 Case Prediction
    • 6.3.7 Other Applications
  • 6.4 By End-User
    • 6.4.1 Law Firms
    • 6.4.2 Corporate Legal Departments
    • 6.4.3 Other End-users
  • 6.5 By Geography
    • 6.5.1 North America
    • 6.5.2 Europe
    • 6.5.3 Asia Pacific
    • 6.5.4 Latin America
    • 6.5.5 Middle East and Africa

7 COMPETITIVE LANDSCAPE

  • 7.1 Company Profiles
    • 7.1.1 Luminance Technologies Ltd
    • 7.1.2 Ross Intelligence Inc.
    • 7.1.3 Kira Inc.
    • 7.1.4 IBM Corporation
    • 7.1.5 Lexisnexis Group Inc. (RELX Group Plc)
    • 7.1.6 Cs Disco Inc.
    • 7.1.7 Thomson Reuters Corporation
    • 7.1.8 Veritone Inc.
    • 7.1.9 Casetext Inc.
    • 7.1.10 Neota Logic Inc.
    • 7.1.11 Brainspace Corporation
    • 7.1.12 Smokeball Inc.
    • 7.1.13 Text IQ Inc.
    • 7.1.14 Opentext Corporation

8 INVESTMENT ANALYSIS

9 FUTURE OF THE MARKET