![]() |
市场调查报告书
商品编码
1797910
全球法律服务机器人流程自动化市场:预测至 2032 年—按解决方案类型、流程类型、部署方法、应用、最终用户和地区进行分析Robotic Process Automation in Legal Service Market Forecasts to 2032 - Global Analysis By Solution Type, Process Type, Deployment Type, Application, End User and By Geography |
根据 Stratistics MRC 的数据,全球法律服务机器人流程自动化市场预计在 2025 年将达到 32 亿美元,到 2032 年将达到 109.2 亿美元,预测期内的复合年增长率为 19.14%。
法律服务领域的机器人流程自动化 (RPA) 使用软体「机器人」自动执行重复的、基于规则的任务,例如文件审查、合约分析、合规性检查和案件资料输入。透过管理这些劳动密集的行政业务,RPA 可以提高准确性、降低营运成本,并使法律专业人员能够更专注于策略性和分析性业务。此外,RPA 还可以加快律师事务所和企业法务部门的监管报告、电子取证和实质审查等流程,减少人为错误并确保更快的周转时间。
据美国律师协会称,包括机器人流程自动化在内的自动化工具可以将重复性的法律业务减少高达 23%,使律师能够将更多时间花在可计费的、以客户为中心的业务。
成本效率和生产力提高
RPA 使企业法务部门和律师事务所能够自动化执行那些通常耗费大量员工时间的重复性、基于规则的任务,例如资料输入、文件审查、案件管理和合规性追踪。减少人工干预使专业人员能够专注于高价值的法律分析和客户咨询业务,从而将营运成本降低高达 30%。自动化确保了一致的准确性,降低了在时间敏感的流程中出现人为错误的可能性。速度的提升、人事费用的降低以及高效的工作流程,提升了客户满意度和服务交付,许多组织在一年内就获得了投资收益(ROI)。
灵活性有限且需要持续维护
RPA 机器人通常遵循严格的准则,无法独立适应文件格式、软体介面或法院入口网站的变更。每当系统发生变化时,这些机器人通常都需要手动重新配置,从而降低效率并增加维护成本。此外,维护和调试这种严格自动化的成本可能会随着时间的推移而侵蚀最初的收益,尤其是在工作流程不断变化的动态法律环境中。
透过产生人工智慧改变成长和服务模式
生成式人工智慧正在透过提供辅助实质审查、文件摘要和合约起草的引擎,迅速改变法律服务的交付方式。这可能导致收费模式从按小时计费转变为基于价值的计费模式。为了提高效率和定价结构,律师事务所(尤其是在印度)正在精心整合这些工具,将人类判断与机器速度结合。此外,替代性法律服务提供者 (ALSP) 正在将生成式人工智慧融入订阅式服务(例如人工智慧驱动的合约管理和技术培训)中,从而充分利用需求。透过扩大客户群并创造新的收入来源,ALSP 正在赋能律所,使其能够以更经济、更以客户为中心的方式提供更聪明、更具可扩展性的服务。
市场整合和供应商依赖风险
少数实力雄厚的供应商主导法律自动化市场,整合趋势日益普遍。依赖成本高且难以转换的专有平台,容易造成供应商锁定的风险。如果供应商财务状况不稳定、停止提供某些功能或更改定价模式,律师事务所可能会面临业务。此外,大型律师事务所可能会收购规模较小或更专业的供应商,从而改变其服务重点和品质。为了降低这些风险,法律服务提供者应优先考虑适应性强、可互通的 RPA 解决方案,并协商签订涵盖资料可携性、定价和连续性的强有力合约保护协议。
新冠疫情大大加速了法律服务业对机器人流程自动化 (RPA) 的采用,因为企业法务部门和律师事务所面临着管理不断增长的案件量、维持远端业务以及在经济不确定性中降低成本的迫切需求。在家工作政策和封锁措施凸显了手动和纸本流程的低效,促使企业快速投资自动化技术,以实现文件、合约审查、合规性检查、客户通讯等的数位管理。透过连接云端平台并确保对私人法律资料的安全远端访问,RPA 还显着促进了业务永续营运。自疫情爆发以来,这种自动化趋势持续发展,RPA 已成为法律产业数位转型的关键力量。
预计预测期内本地部署部分将占最大份额
受法律行业严格的资料安全、隐私和合规性要求的推动,本地部署预计将在预测期内占据最大的市场占有率。律师事务所和企业法务部门更倾向于本地部署,因为他们可以完全控制敏感的客户数据,可以根据内部通讯协定调整自动化工作流程,并遵守特定司法管辖区的监管要求。这种配置可确保敏感资料保留在公司的IT基础设施内,从而降低其面临的第三方风险。此外,儘管云端技术的应用日益广泛,但在安全性、审核和管治是首要业务重点的环境中,本地部署仍然是最受欢迎的选择。
合约管理部门预计在预测期内实现最高复合年增长率
合约管理领域预计将在预测期内实现最高成长率,这得益于管理复杂、大批量合约时对准确性、效率和合规性日益增长的需求。 RPA 与人工智慧和自然语言处理相结合,可实现合约起草、审查、核准工作流程和更新追踪的自动化,从而显着减少人工工作并降低出错风险。它还支援即时合规性监控、截止日期警报和条款风险分析,帮助法律团队始终领先于监管变化。此外,由于全球化、跨境交易和数位转型的加速发展,自动化合约管理对于律师事务所和企业法务部门至关重要,因为他们正在努力提高客户服务品质、降低成本并加快週转时间。
预计北美将在预测期内占据最大市场占有率,这得益于该地区强劲的法律技术采用率、完善的法律基础设施以及大型RPA供应商。美国和加拿大的律师事务所和企业法务部门率先采用了自动化文件审查、合约管理、合规性追踪和电子取证技术。 RPA技术被用于提高生产力并降低成本。对安全和审核程序的严格监管和要求也在推动需求成长。此外,由于北美在人工智慧主导的法律技术方面投入了大量资金,并拥有成熟的云端生态系,其在RPA法律服务领域也处于行业领先地位。
预计亚太地区将在预测期内实现最高的复合年增长率,这得益于法律流程外包行业的扩张、数位化应用的不断增长以及快速的经济成长。由于高效的熟练劳动力成本、强大的IT基础设施以及支援自动化的政府政策,印度、中国和新加坡正在成为技术驱动型法律服务的主要枢纽。跨境交易和法规结构日益复杂,促使律师事务所和企业法务部门采用机器人流程自动化(RPA)进行合约管理、合规监控和诉讼支持,这使得亚太地区成为未来几年成长最快的市场领域。
According to Stratistics MRC, the Global Robotic Process Automation in Legal Service Market is accounted for $3.20 billion in 2025 and is expected to reach $10.92 billion by 2032 growing at a CAGR of 19.14% during the forecast period. Robotic Process Automation (RPA) in legal services involves using software "bots" to automate repetitive, rules-based tasks such as document review, contract analysis, compliance checks, and case data entry. RPA improves accuracy and lowers operating costs by managing these laborious administrative tasks, freeing up legal professionals to concentrate more on strategic and analytical work. Moreover, RPA can expedite processes like regulatory reporting, e-discovery, and due diligence in law firms and corporate legal departments, reducing human error and guaranteeing quicker turnaround times.
According to the American Bar Association, automation tools-including Robotic Process Automation-can reduce up to 23% of repetitive legal tasks, allowing lawyers to dedicate more time to billable, client-focused work.
Efficiency in cost and increased productivity
RPA makes it possible for corporate legal departments and law firms to automate repetitive, rule-based tasks that typically take up a lot of staff time, like data entry, document review, case management, and compliance tracking. Professionals can concentrate on high-value legal analysis and client advisory work by reducing manual intervention, which can save up to 30% in operating costs. Because the automation guarantees constant accuracy, there is less chance of human error in time-sensitive procedures. Because of the faster speeds, lower labor costs, and more efficient workflows, which improve customer satisfaction and service delivery, many organizations see a return on investment (ROI) in less than a year.
Restricted flexibility & ongoing maintenance
RPA bots usually adhere to strict guidelines and are unable to adjust on their own to modifications in document formats, software interfaces, or court portals. Every time systems change, these bots frequently need to be manually reconfigured, which reduces efficiency and increases maintenance costs. Additionally, initial returns may be eroded over time by the expense of maintaining and debugging these strict automations, particularly in dynamic legal environments where workflows are constantly changing.
Growth using generative AI and changing service models
Generative AI is quickly changing the way legal services are delivered by providing engines that help with due diligence, summarize documents, and draft contracts. This could lead to a change in billing models from hourly to value-based frameworks. In order to improve efficiency and pricing structures, legal firms-particularly those in India-are carefully integrating these tools, combining human judgment with machine speed. Additionally, by incorporating generative AI into subscription-based services like AI-powered contract management and tech training, Alternative Legal Service Providers (ALSPs) are leveraging demand. In addition to expanding the clientele, this generates new sources of income, allowing businesses to provide more intelligent, scalable services in a more economical and customer-focused way.
Risks of market consolidation and vendor dependency
A small number of powerful vendors are controlling the legal automation market, which is becoming more and more consolidated. When businesses become reliant on proprietary platforms that are costly or challenging to switch from, there is a risk of vendor lock-in. Legal firms may experience operational disruptions if a vendor experiences financial instability, discontinues features, or changes pricing models. Furthermore, larger companies may acquire smaller or specialized vendors, which could alter the focus or quality of services. Legal service providers must prioritize adaptable, interoperable RPA solutions and negotiate robust contractual protections that cover data portability, pricing, and continuity in order to lessen these risks.
The COVID-19 pandemic tremendously accelerated the legal services industry's adoption of robotic process automation (RPA) as corporate legal departments and law firms faced pressing demands to manage growing caseloads, keep operations remote, and cut costs in the face of economic uncertainty. Work-from-home policies and lockdowns brought to light the inefficiencies of manual, paper-based procedures, which prompted a swift investment in automation to manage documents, contract reviews, compliance checks, and client on boarding digitally. By connecting with cloud platforms and guaranteeing safe, remote access to private legal data, RPA also significantly contributed to the facilitation of business continuity. Since the pandemic, this trend toward automation has continued, solidifying RPA as a key force behind the digital transformation of the legal industry.
The on-premises segment is expected to be the largest during the forecast period
The on-premises segment is expected to account for the largest market share during the forecast period, driven by the stringent data security, privacy, and compliance requirements of the legal sector. Since it enables them to keep complete control over sensitive client data, adapt automation workflows to internal protocols, and comply with jurisdiction-specific regulatory requirements, law firms and corporate legal departments favor on-premises deployment. This configuration lowers exposure to third-party risks by guaranteeing that sensitive data stays inside the company's own IT infrastructure. Moreover, on-premises continue to be the most popular option in settings where security, auditability, and governance are top operational priorities, even though cloud adoption is increasing.
The contract management segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the contract management segment is predicted to witness the highest growth rate, fueled by the growing demand for accuracy, efficiency, and compliance when managing intricate, high-volume contracts. RPA greatly reduces manual labor and error risk by automating contract drafting, review, approval workflows, and renewal tracking when paired with AI and natural language processing. In order to keep legal teams ahead of regulatory changes, it also makes real-time compliance monitoring, deadline alerts and clause risk analysis possible. Furthermore, automated contract management is becoming crucial for law firms and corporate legal departments looking to increase client service quality, cut costs, and expedite turnaround times due to the acceleration of globalization, cross-border transactions, and digital transformation initiatives.
During the forecast period, the North America region is expected to hold the largest market share, Propelled by the region's robust legal technology adoption rate, sophisticated legal infrastructure, and significant RPA vendors. Automation for document review, contract management, compliance tracking, and e-discovery was first implemented by law firms and corporate legal departments in the United States and Canada. RPA was used to increase productivity and cut expenses. Demand is also fueled by strict regulations and the requirement for safe, auditable procedures. Additionally, North America is also the industry leader for RPA-enabled legal services due to significant investments in AI-driven legal technology and an established cloud ecosystem.
Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, fueled by the expanding legal process outsourcing sector, rising digital adoption, and quick economic growth. India, China, and Singapore are emerging as major hubs for technology-enabled legal services, owing to their efficient skilled labor costs, robust IT infrastructure, and pro-automation government policies. As cross-border transactions and regulatory framework complexity increase, law firms and corporate legal departments are implementing RPA for contract management, compliance monitoring, and litigation support, making Asia-Pacific the fastest-growing market segment in the years to come.
Key players in the market
Some of the key players in Robotic Process Automation in Legal Service Market include IBM, Thomson Reuters Inc, Blue Prism, Kofax, HyperScience Inc, NICE, Luminance Inc, Automation Anywhere, Pegasystems (Pega), EdgeVerve, UiPath, Litify Inc, WorkFusion, Everlaw and Nintex.
In June 2025, Hyperscience and Carahsoft Technology Corp announced a partnership aimed at transforming back office operations for Federal and State and Local Government Agencies. Under the agreement, Carahsoft will serve as a Master Government Aggregator(R) for Hyperscience, making the company's cutting-edge AI platform available to the Public Sector through Carahsoft's reseller partners and NASA Solutions for Enterprise-Wide Procurement (SEWP) V, National Association of State Procurement Officials (NASPO) ValuePoint, The Interlocal Purchasing System (TIPS) and OMNIA Partners contracts.
In May 2025, Thomson Reuters Corporation announced it has signed a definitive agreement to acquire TimeBase, a leading provider of Australian legislative solutions, for $6.5 million cash. TimeBase is a leading provider of Australian legislative information, offering a comprehensive platform for legal professionals to find, search, track, and understand legislation.
In April 2025, IBM and BNP Paribas announce the renewal and strengthening of the bank's partnership with IBM Cloud for 10 years, aimed at further bolstering its resilience, accelerating its cloud-native strategy, and supporting the development of generative artificial intelligence. This multi-year partnership is part of the bank's ongoing technology investments and multicloud strategy to support business growth, benefiting customers and employees.