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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

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COVID-19ÀÇ ¿µÇâ :

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¿¹Ãø ±â°£ µ¿¾È On-Premise ºÎ¹®ÀÌ ÃÖ´ë°¡ µÉ Àü¸Á

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¿¹Ãø±â°£ µ¿¾È °è¾à °ü¸® ºÐ¾ß°¡ °¡Àå ³ôÀº CAGRÀ» ³ªÅ¸³¾ Àü¸Á

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ÃÖ´ë Á¡À¯À²À» Â÷ÁöÇÏ´Â Áö¿ª :

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°¡Àå ³ôÀº CAGRÀ» ³ªÅ¸³¾ °ÍÀ¸·Î ¿¹»óµÇ´Â Áö¿ª :

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  • IBM
  • Thomson Reuters Inc
  • Blue Prism
  • Kofax
  • HyperScience Inc
  • NICE
  • Luminance Inc
  • Automation Anywhere
  • Pegasystems(Pega)
  • EdgeVerve
  • UiPath
  • Litify Inc
  • WorkFusion
  • Everlaw
  • Nintex
KTH 25.09.01

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.

Market Dynamics:

Driver:

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.

Restraint:

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.

Opportunity:

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.

Threat:

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.

Covid-19 Impact:

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.

Region with largest share:

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.

Region with highest CAGR:

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.

Key Developments:

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.

Solution Types Covered:

  • Software
  • Service

Process Types Covered:

  • Rule-Based Processing
  • Knowledge-Based Processing
  • Data Entry
  • Data Extraction

Deployment Types Covered:

  • On-Premises
  • Cloud-Based
  • Hybrid

Applications Covered:

  • Document Management
  • Contract Management
  • Compliance Management
  • Billing and Invoicing
  • Litigation Support

End Users Covered:

  • Law Firms
  • Corporate Legal Departments
  • Government Entities

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Application Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Robotic Process Automation in Legal Service Market, By Solution Type

  • 5.1 Introduction
  • 5.2 Software
  • 5.3 Service

6 Global Robotic Process Automation in Legal Service Market, By Process Type

  • 6.1 Introduction
  • 6.2 Rule-Based Processing
  • 6.3 Knowledge-Based Processing
  • 6.4 Data Entry
  • 6.5 Data Extraction

7 Global Robotic Process Automation in Legal Service Market, By Deployment Type

  • 7.1 Introduction
  • 7.2 On-Premises
  • 7.3 Cloud-Based
  • 7.4 Hybrid

8 Global Robotic Process Automation in Legal Service Market, By Application

  • 8.1 Introduction
  • 8.2 Document Management
  • 8.3 Contract Management
  • 8.4 Compliance Management
  • 8.5 Billing and Invoicing
  • 8.6 Litigation Support

9 Global Robotic Process Automation in Legal Service Market, By End User

  • 9.1 Introduction
  • 9.2 Law Firms
  • 9.3 Corporate Legal Departments
  • 9.4 Government Entities

10 Global Robotic Process Automation in Legal Service Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 IBM
  • 12.2 Thomson Reuters Inc
  • 12.3 Blue Prism
  • 12.4 Kofax
  • 12.5 HyperScience Inc
  • 12.6 NICE
  • 12.7 Luminance Inc
  • 12.8 Automation Anywhere
  • 12.9 Pegasystems (Pega)
  • 12.10 EdgeVerve
  • 12.11 UiPath
  • 12.12 Litify Inc
  • 12.13 WorkFusion
  • 12.14 Everlaw
  • 12.15 Nintex
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