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Industry Research
Generative AI in Legal Industry Research Report 2026
Market perspective
The global Generative AI in Legal market was valued at US$ million in 2025 and is projected to reach US$ million by 2032, implying a CAGR of % over 2026–2032.
North America: the Generative AI in Legal market is projected to increase from US$ million in 2026 to US$ million by 2032, reflecting a CAGR of % over 2026–2032. Europe: the Generative AI in Legal market is projected to rise from US$ million in 2026 to US$ million by 2032, registering a CAGR of % over 2026–2032. Asia Pacific: the Generative AI in Legal market is expected to grow from US$ million in 2026 to US$ million by 2032, at a CAGR of % over 2026–2032. Leading global service providers of Generative AI in Legal include IBM, Open Text Corporation, Thomson Reuters, Veritone, ROSS Intelligence, Luminance Technology, LexisNexis Group, Neota Logic and Kira and among others; in 2025, the top three vendors together accounted for approximately % of global revenue.
Report Scope
Read the full market overview
This report quantifies the global Generative AI in Legal market in terms of revenue (US$ million) and, where applicable, service volume (k units), using 2024 as the base year and providing annual historical and forecast data for 2021–2032.
It standardizes definitions of service Types and end-use Applications, harmonizes provider attribution, and delivers comparable time series by company, Type, Application, and region or country, including indicative price bands (US$/k units) and concentration ratios (CR5/CR10). Outputs are intended to support service design, budgeting, capacity planning, and benchmarking for providers, platforms, channel partners, and investors; the report also reviews technology shifts and notable service innovations relevant to Generative AI in Legal.
Key Companies & Market Share Insights
This section profiles leading service providers with 2021–2025 results and a 2026–2032 outlook—covering revenue, market share, price bands, service portfolio and client mix, regional and channel mix, and key developments (M&A, network expansion, certifications). It also provides global revenue, average price, and—where applicable—volume metrics by provider, and calculates CR5/CR10 and rank changes to support comparative benchmarking.
Generative AI in Legal Market by Company
IBM
Open Text Corporation
Thomson Reuters
Veritone
ROSS Intelligence
Luminance Technology
LexisNexis Group
Neota Logic
Kira
Casetext
Generative AI in Legal Segment by Type
Desktop Application
Mobile Application
Generative AI in Legal Segment by Application
Law Firms
Government Legal Department
Others
Generative AI in Legal Segment by Region
North America
United States
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Spain
Russia
Netherlands
Nordic Countries
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Southeast Asia
South America
Brazil
Argentina
Chile
Middle East & Africa
Saudi Arabia
Israel
United Arab Emirates
Turkey
Iran
Egypt
Key Drivers & Barriers
High-impact rendering factors and drivers have been studied in this report to aid the readers to understand the general development. Moreover, the report includes restraints and challenges that may act as stumbling blocks on the way of the players. This will assist the users to be attentive and make informed decisions related to business. Specialists have also laid their focus on the upcoming business prospects.
Reasons to Buy This Report
1. This report will help the readers to understand the competition within the industries and strategies for the competitive environment to enhance the potential profit. The report also focuses on the competitive landscape of the global Generative AI in Legal market, and introduces in detail the market share, industry ranking, competitor ecosystem, market performance, new product development, operation situation, expansion, and acquisition. etc. of the main players, which helps the readers to identify the main competitors and deeply understand the competition pattern of the market.
2. This report will help stakeholders to understand the global industry status and trends of Generative AI in Legal and provides them with information on key market drivers, restraints, challenges, and opportunities.
3. This report will help stakeholders to understand competitors better and gain more insights to strengthen their position in their businesses. The competitive landscape section includes the market share and rank (in volume and value), competitor ecosystem, new product development, expansion, and acquisition.
4. This report stays updated with novel technology integration, features, and the latest developments in the market
5. This report helps stakeholders to gain insights into which regions to target globally
6. This report helps stakeholders to gain insights into the end-user perception concerning the adoption of Generative AI in Legal.
7. This report helps stakeholders to identify some of the key players in the market and understand their valuable contribution.
Chapter Outline
Chapter 1: Research objectives, research methods, data sources, data cross-validation;
Chapter 2: Introduces the report scope of the report, executive summary of different market segments (product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 3: Provides the analysis of various market segments product types, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 6: Detailed analysis of Generative AI in Legal companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 7, 8, 9, 10, 11: North America, Europe, Asia Pacific, South America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 12: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including revenue, gross margin, product introduction, recent development, etc.
Chapter 13: The main points and conclusions of the report.
More report detail
Tables and figures
Scope & coverage.
Types
- Desktop Application
- Mobile Application
Applications
- Law Firms
- Government Legal Department
- Others
Companies covered
- IBM
- Open Text Corporation
- Thomson Reuters
- Veritone
- ROSS Intelligence
- Luminance Technology
- LexisNexis Group
- Neota Logic
- Kira
- Casetext
Inside the report.
1 Preface
- 1.1 Scope of Report
- 1.2 Reasons for Doing This Study
- 1.3 Research Methodology
- 1.4 Research Process
- 1.5 Data Source
- 1.5.1 Secondary Sources
- 1.5.2 Primary Sources
2 Market Overview
- 2.1 Product Definition
- 2.2 Generative AI in Legal by Type
- 2.2.1 Market Value Comparison by Type (2021 VS 2025 VS 2032)
- 2.2.2 Desktop Application
- 2.2.3 Mobile Application
- 2.3 Generative AI in Legal by Application
- 2.3.1 Market Value Comparison by Application (2021 VS 2025 VS 2032)
- 2.3.2 Law Firms
- 2.3.3 Government Legal Department
- 2.3.4 Others
- 2.4 Assumptions and Limitations
3 Generative AI in Legal Breakdown Data by Type
- 3.1 Global Generative AI in Legal Historic Market Size by Type (2021-2026)
- 3.2 Global Generative AI in Legal Forecasted Market Size by Type (2027-2032)
4 Generative AI in Legal Breakdown Data by Application
- 4.1 Global Generative AI in Legal Historic Market Size by Application (2021-2026)
- 4.2 Global Generative AI in Legal Forecasted Market Size by Application (2027-2032)
5 Global Growth Trends
- 5.1 Global Generative AI in Legal Market Perspective (2021-2032)
- 5.2 Global Generative AI in Legal Growth Trends by Region
- 5.2.1 Global Generative AI in Legal Market Size by Region: 2021 VS 2025 VS 2032
- 5.2.2 Generative AI in Legal Historic Market Size by Region (2021-2026)
- 5.2.3 Generative AI in Legal Forecasted Market Size by Region (2027-2032)
- 5.3 Generative AI in Legal Market Dynamics
- 5.3.1 Generative AI in Legal Industry Trends
- 5.3.2 Generative AI in Legal Market Drivers
- 5.3.3 Generative AI in Legal Market Challenges
- 5.3.4 Generative AI in Legal Market Restraints
6 Market Competitive Landscape by Players
- 6.1 Global Top Generative AI in Legal Players by Revenue
- 6.1.1 Global Top Generative AI in Legal Players by Revenue (2021-2026)
- 6.1.2 Global Generative AI in Legal Revenue Market Share by Players (2021-2026)
- 6.2 Global Generative AI in Legal Industry Players Ranking, 2023 VS 2024 VS 2025
- 6.3 Global Key Players of Generative AI in Legal Head Office and Area Served
- 6.4 Global Generative AI in Legal Players, Product Type & Application
- 6.5 Global Generative AI in Legal Manufacturers Established Date
- 6.6 Global Generative AI in Legal Market CR5 and HHI
- 6.7 Global Players Mergers & Acquisition
7 North America
- 7.1 North America Generative AI in Legal Market Size (2021-2032)
- 7.2 North America Generative AI in Legal Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 7.3 North America Generative AI in Legal Market Size by Country (2021-2026)
- 7.4 North America Generative AI in Legal Market Size by Country (2027-2032)
- 7.5 United States
- 7.5 United States
- 7.6 Canada
- 7.7 Mexico
8 Europe
- 8.1 Europe Generative AI in Legal Market Size (2021-2032)
- 8.2 Europe Generative AI in Legal Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 8.3 Europe Generative AI in Legal Market Size by Country (2021-2026)
- 8.4 Europe Generative AI in Legal Market Size by Country (2027-2032)
- 8.5 Germany
- 8.6 France
- 8.7 U.K.
- 8.8 Italy
- 8.9 Spain
- 8.10 Russia
- 8.11 Netherlands
- 8.12 Nordic Countries
9 Asia-Pacific
- 9.1 Asia-Pacific Generative AI in Legal Market Size (2021-2032)
- 9.2 Asia-Pacific Generative AI in Legal Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 9.3 Asia-Pacific Generative AI in Legal Market Size by Country (2021-2026)
- 9.4 Asia-Pacific Generative AI in Legal Market Size by Country (2027-2032)
- 9.5 China
- 9.6 Japan
- 9.7 South Korea
- 9.8 India
- 9.9 Australia
- 9.10 China Taiwan
- 9.11 Southeast Asia
10 South America
- 10.1 South America Generative AI in Legal Market Size (2021-2032)
- 10.2 South America Generative AI in Legal Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 10.3 South America Generative AI in Legal Market Size by Country (2021-2026)
- 10.4 South America Generative AI in Legal Market Size by Country (2027-2032)
- 10.5 Brazil
- 10.6 Argentina
- 10.7 Chile
- 10.8 Colombia
- 10.9 Peru
11 Middle East & Africa
- 11.1 Middle East & Africa Generative AI in Legal Market Size (2021-2032)
- 11.2 Middle East & Africa Generative AI in Legal Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 11.3 Middle East & Africa Generative AI in Legal Market Size by Country (2021-2026)
- 11.4 Middle East & Africa Generative AI in Legal Market Size by Country (2027-2032)
- 11.5 Saudi Arabia
- 11.6 Israel
- 11.7 United Arab Emirates
- 11.8 Turkey
- 11.9 Iran
- 11.10 Egypt
12 Players Profiled
- 12.1 IBM
- 12.1.1 IBM Company Information
- 12.1.2 IBM Business Overview
- 12.1.3 IBM Revenue in Generative AI in Legal Business (2021-2026)
- 12.1.4 IBM Generative AI in Legal Product Portfolio
- 12.1.5 IBM Recent Developments
- 12.2 Open Text Corporation
- 12.2.1 Open Text Corporation Company Information
- 12.2.2 Open Text Corporation Business Overview
- 12.2.3 Open Text Corporation Revenue in Generative AI in Legal Business (2021-2026)
- 12.2.4 Open Text Corporation Generative AI in Legal Product Portfolio
- 12.2.5 Open Text Corporation Recent Developments
- 12.3 Thomson Reuters
- 12.3.1 Thomson Reuters Company Information
- 12.3.2 Thomson Reuters Business Overview
- 12.3.3 Thomson Reuters Revenue in Generative AI in Legal Business (2021-2026)
- 12.3.4 Thomson Reuters Generative AI in Legal Product Portfolio
- 12.3.5 Thomson Reuters Recent Developments
- 12.4 Veritone
- 12.4.1 Veritone Company Information
- 12.4.2 Veritone Business Overview
- 12.4.3 Veritone Revenue in Generative AI in Legal Business (2021-2026)
- 12.4.4 Veritone Generative AI in Legal Product Portfolio
- 12.4.5 Veritone Recent Developments
- 12.5 ROSS Intelligence
- 12.5.1 ROSS Intelligence Company Information
- 12.5.2 ROSS Intelligence Business Overview
- 12.5.3 ROSS Intelligence Revenue in Generative AI in Legal Business (2021-2026)
- 12.5.4 ROSS Intelligence Generative AI in Legal Product Portfolio
- 12.5.5 ROSS Intelligence Recent Developments
- 12.6 Luminance Technology
- 12.6.1 Luminance Technology Company Information
- 12.6.2 Luminance Technology Business Overview
- 12.6.3 Luminance Technology Revenue in Generative AI in Legal Business (2021-2026)
- 12.6.4 Luminance Technology Generative AI in Legal Product Portfolio
- 12.6.5 Luminance Technology Recent Developments
- 12.7 LexisNexis Group
- 12.7.1 LexisNexis Group Company Information
- 12.7.2 LexisNexis Group Business Overview
- 12.7.3 LexisNexis Group Revenue in Generative AI in Legal Business (2021-2026)
- 12.7.4 LexisNexis Group Generative AI in Legal Product Portfolio
- 12.7.5 LexisNexis Group Recent Developments
- 12.8 Neota Logic
- 12.8.1 Neota Logic Company Information
- 12.8.2 Neota Logic Business Overview
- 12.8.3 Neota Logic Revenue in Generative AI in Legal Business (2021-2026)
- 12.8.4 Neota Logic Generative AI in Legal Product Portfolio
- 12.8.5 Neota Logic Recent Developments
- 12.9 Kira
- 12.9.1 Kira Company Information
- 12.9.2 Kira Business Overview
- 12.9.3 Kira Revenue in Generative AI in Legal Business (2021-2026)
- 12.9.4 Kira Generative AI in Legal Product Portfolio
- 12.9.5 Kira Recent Developments
- 12.10 Casetext
- 12.10.1 Casetext Company Information
- 12.10.2 Casetext Business Overview
- 12.10.3 Casetext Revenue in Generative AI in Legal Business (2021-2026)
- 12.10.4 Casetext Generative AI in Legal Product Portfolio
- 12.10.5 Casetext Recent Developments
13 Report Conclusion
14 Disclaimer
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