Selected research
Market Analysis & Forecast
Global Generative AI in Legal Market Analysis and Forecast 2026-2032
Market perspective
The global Generative AI in Legal market is projected to grow from US$ million in 2026 to US$ million by 2032, at a Compound Annual Growth Rate (CAGR) of % during the forecast period.
The North America market for Generative AI in Legal is estimated to increase from $ million in 2026 to reach $ million by 2032, at a CAGR of % during the forecast period of 2026 through 2032.
Europe market for Generative AI in Legal is estimated to increase from $ million in 2026 to reach $ million by 2032, at a CAGR of % during the forecast period of 2026 through 2032.
Read the full market overview
Asia-Pacific market for Generative AI in Legal is estimated to increase from $ million in 2026 to reach $ million by 2032, at a CAGR of % during the forecast period of 2026 through 2032.
The China market for Generative AI in Legal is estimated to increase from $ million in 2026 to reach $ million by 2032, at a CAGR of % during the forecast period of 2026 through 2032.
The major global companies of Generative AI in Legal include IBM, Open Text Corporation, Thomson Reuters, Veritone, ROSS Intelligence, Luminance Technology, LexisNexis Group, Neota Logic and Kira, etc. In 2025, the world's top three vendors accounted for approximately % of the revenue.
Report Includes
This report presents an overview of global market for Generative AI in Legal, market size. Analyses of the global market trends, with historic market revenue data for 2021 - 2025, estimates for 2026, and projections of CAGR through 2032.
This report researches the key producers of Generative AI in Legal, also provides the revenue of main regions and countries. Of the upcoming market potential for Generative AI in Legal, and key regions or countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.
This report focuses on the Generative AI in Legal revenue, market share and industry ranking of main manufacturers, data from 2021 to 2026. Identification of the major stakeholders in the global Generative AI in Legal market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.
This report analyzes the segments data by Type and by Application, revenue, and growth rate, from 2021 to 2032. Evaluation and forecast the market size for Generative AI in Legal revenue, projected growth trends, production technology, application and end-user industry.
Generative AI in Legal Segment 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
Russia
Spain
Netherlands
Switzerland
Sweden
Poland
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Southeast Asia
South America
Brazil
Argentina
Chile
Middle East & Africa
Egypt
South Africa
Israel
Türkiye
GCC Countries
Study Objectives
1. To analyze and research the global status and future forecast, involving growth rate (CAGR), market share, historical and forecast.
2. To present the key players, revenue, market share, and Recent Developments.
3. To split the breakdown data by regions, type, manufacturers, and Application.
4. To analyze the global and key regions market potential and advantage, opportunity and challenge, restraints, and risks.
5. To identify significant trends, drivers, influence factors in global and regions.
6. To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.
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 market size), 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: 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 2: Introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Revenue of Generative AI in Legal in global and regional level. 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 4: Detailed analysis of Generative AI in Legal company competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 5: Provides the analysis of various market segments by type, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 6: Provides the analysis of various market segments by application, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 7: Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, Generative AI in Legal revenue, gross margin, and recent development, etc.
Chapter 8: North America by type, by application and by country, revenue for each segment.
Chapter 9: Europe by type, by application and by country, revenue for each segment.
Chapter 10: China type, by application, revenue for each segment.
Chapter 11: Asia (excluding China) type, by application and by region, revenue for each segment.
Chapter 12: South America, Middle East and Africa by type, by application and by country, revenue for each segment.
Chapter 13: The main concluding insights 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 Market Overview
- 1.1 Product Definition
- 1.2 Generative AI in Legal Market by Type
- 1.2.1 Global Generative AI in Legal Market Size by Type, 2021 VS 2025 VS 2032
- 1.2.2 Desktop Application
- 1.2.3 Mobile Application
- 1.3 Generative AI in Legal Market by Application
- 1.3.1 Global Generative AI in Legal Market Size by Application, 2021 VS 2025 VS 2032
- 1.3.2 Law Firms
- 1.3.3 Government Legal Department
- 1.3.4 Others
- 1.4 Assumptions and Limitations
- 1.5 Study Goals and Objectives
2 Generative AI in Legal Market Dynamics
- 2.1 Generative AI in Legal Industry Trends
- 2.2 Generative AI in Legal Industry Drivers
- 2.3 Generative AI in Legal Industry Opportunities and Challenges
- 2.4 Generative AI in Legal Industry Restraints
3 Global Growth Perspective
- 3.1 Global Generative AI in Legal Market Perspective (2021-2032)
- 3.2 Global Generative AI in Legal Growth Trends by Region
- 3.2.1 Global Generative AI in Legal Market Size by Region: 2021 VS 2025 VS 2032
- 3.2.2 Global Generative AI in Legal Market Size by Region (2021-2026)
- 3.2.3 Global Generative AI in Legal Market Size by Region (2027-2032)
4 Competitive Landscape by Players
- 4.1 Global Generative AI in Legal Revenue by Players
- 4.1.1 Global Generative AI in Legal Revenue by Players (2021-2026)
- 4.1.2 Global Generative AI in Legal Revenue Market Share by Players (2021-2026)
- 4.1.3 Global Generative AI in Legal Players Revenue Share Top 10 and Top 5 in 2025
- 4.2 Global Generative AI in Legal Key Players Ranking, 2024 VS 2025 VS 2026
- 4.3 Global Generative AI in Legal Key Players Headquarters & Area Served
- 4.4 Global Generative AI in Legal Players, Product Type & Application
- 4.5 Global Generative AI in Legal Players Establishment Date
- 4.6 Market Competitive Analysis
- 4.6.1 Global Generative AI in Legal Market CR5 and HHI
- 4.6.3 2025 Generative AI in Legal Tier 1, Tier 2, and Tier 3
5 Generative AI in Legal Market Size by Type
- 5.1 Global Generative AI in Legal Revenue by Type (2021 VS 2025 VS 2032)
- 5.2 Global Generative AI in Legal Revenue by Type (2021-2032)
- 5.3 Global Generative AI in Legal Revenue Market Share by Type (2021-2032)
6 Generative AI in Legal Market Size by Application
- 6.1 Global Generative AI in Legal Revenue by Application (2021 VS 2025 VS 2032)
- 6.2 Global Generative AI in Legal Revenue by Application (2021-2032)
- 6.3 Global Generative AI in Legal Revenue Market Share by Application (2021-2032)
7 Company Profiles
- 7.1 IBM
- 7.1.1 IBM Company Information
- 7.1.2 IBM Business Overview
- 7.1.3 IBM Generative AI in Legal Revenue and Gross Margin (2021-2026)
- 7.1.4 IBM Generative AI in Legal Product Portfolio
- 7.1.5 IBM Recent Developments
- 7.2 Open Text Corporation
- 7.2.1 Open Text Corporation Company Information
- 7.2.2 Open Text Corporation Business Overview
- 7.2.3 Open Text Corporation Generative AI in Legal Revenue and Gross Margin (2021-2026)
- 7.2.4 Open Text Corporation Generative AI in Legal Product Portfolio
- 7.2.5 Open Text Corporation Recent Developments
- 7.3 Thomson Reuters
- 7.3.1 Thomson Reuters Company Information
- 7.3.2 Thomson Reuters Business Overview
- 7.3.3 Thomson Reuters Generative AI in Legal Revenue and Gross Margin (2021-2026)
- 7.3.4 Thomson Reuters Generative AI in Legal Product Portfolio
- 7.3.5 Thomson Reuters Recent Developments
- 7.4 Veritone
- 7.4.1 Veritone Company Information
- 7.4.2 Veritone Business Overview
- 7.4.3 Veritone Generative AI in Legal Revenue and Gross Margin (2021-2026)
- 7.4.4 Veritone Generative AI in Legal Product Portfolio
- 7.4.5 Veritone Recent Developments
- 7.5 ROSS Intelligence
- 7.5.1 ROSS Intelligence Company Information
- 7.5.2 ROSS Intelligence Business Overview
- 7.5.3 ROSS Intelligence Generative AI in Legal Revenue and Gross Margin (2021-2026)
- 7.5.4 ROSS Intelligence Generative AI in Legal Product Portfolio
- 7.5.5 ROSS Intelligence Recent Developments
- 7.6 Luminance Technology
- 7.6.1 Luminance Technology Company Information
- 7.6.2 Luminance Technology Business Overview
- 7.6.3 Luminance Technology Generative AI in Legal Revenue and Gross Margin (2021-2026)
- 7.6.4 Luminance Technology Generative AI in Legal Product Portfolio
- 7.6.5 Luminance Technology Recent Developments
- 7.7 LexisNexis Group
- 7.7.1 LexisNexis Group Company Information
- 7.7.2 LexisNexis Group Business Overview
- 7.7.3 LexisNexis Group Generative AI in Legal Revenue and Gross Margin (2021-2026)
- 7.7.4 LexisNexis Group Generative AI in Legal Product Portfolio
- 7.7.5 LexisNexis Group Recent Developments
- 7.8 Neota Logic
- 7.8.1 Neota Logic Company Information
- 7.8.2 Neota Logic Business Overview
- 7.8.3 Neota Logic Generative AI in Legal Revenue and Gross Margin (2021-2026)
- 7.8.4 Neota Logic Generative AI in Legal Product Portfolio
- 7.8.5 Neota Logic Recent Developments
- 7.9 Kira
- 7.9.1 Kira Company Information
- 7.9.2 Kira Business Overview
- 7.9.3 Kira Generative AI in Legal Revenue and Gross Margin (2021-2026)
- 7.9.4 Kira Generative AI in Legal Product Portfolio
- 7.9.5 Kira Recent Developments
- 7.10 Casetext
- 7.10.1 Casetext Company Information
- 7.10.2 Casetext Business Overview
- 7.10.3 Casetext Generative AI in Legal Revenue and Gross Margin (2021-2026)
- 7.10.4 Casetext Generative AI in Legal Product Portfolio
- 7.10.5 Casetext Recent Developments
8 North America
- 8.1 North America Generative AI in Legal Revenue (2021-2032)
- 8.2 North America Generative AI in Legal Revenue by Type (2021-2032)
- 8.2.1 North America Generative AI in Legal Revenue by Type (2021-2026)
- 8.2.2 North America Generative AI in Legal Revenue by Type (2027-2032)
- 8.3 North America Generative AI in Legal Revenue Share by Type (2021-2032)
- 8.4 North America Generative AI in Legal Revenue by Application (2021-2032)
- 8.4.1 North America Generative AI in Legal Revenue by Application (2021-2026)
- 8.4.2 North America Generative AI in Legal Revenue by Application (2027-2032)
- 8.5 North America Generative AI in Legal Revenue Share by Application (2021-2032)
- 8.6 North America Generative AI in Legal Revenue by Country
- 8.6.1 North America Generative AI in Legal Revenue by Country (2021 VS 2025 VS 2032)
- 8.6.2 North America Generative AI in Legal Revenue by Country (2021-2026)
- 8.6.3 North America Generative AI in Legal Revenue by Country (2027-2032)
- 8.6.4 United States
- 8.6.5 Canada
- 8.6.6 Mexico
9 Europe
- 9.1 Europe Generative AI in Legal Revenue (2021-2032)
- 9.2 Europe Generative AI in Legal Revenue by Type (2021-2032)
- 9.2.1 Europe Generative AI in Legal Revenue by Type (2021-2026)
- 9.2.2 Europe Generative AI in Legal Revenue by Type (2027-2032)
- 9.3 Europe Generative AI in Legal Revenue Share by Type (2021-2032)
- 9.4 Europe Generative AI in Legal Revenue by Application (2021-2032)
- 9.4.1 Europe Generative AI in Legal Revenue by Application (2021-2026)
- 9.4.2 Europe Generative AI in Legal Revenue by Application (2027-2032)
- 9.5 Europe Generative AI in Legal Revenue Share by Application (2021-2032)
- 9.6 Europe Generative AI in Legal Revenue by Country
- 9.6.1 Europe Generative AI in Legal Revenue by Country (2021 VS 2025 VS 2032)
- 9.6.2 Europe Generative AI in Legal Revenue by Country (2021-2026)
- 9.6.3 Europe Generative AI in Legal Revenue by Country (2027-2032)
- 9.6.4 Germany
- 9.6.5 France
- 9.6.6 U.K.
- 9.6.7 Italy
- 9.6.8 Russia
- 9.6.9 Spain
- 9.6.10 Netherlands
- 9.6.11 Switzerland
- 9.6.12 Sweden
- 9.6.13 Poland
10 China
- 10.1 China Generative AI in Legal Revenue (2021-2032)
- 10.2 China Generative AI in Legal Revenue by Type (2021-2032)
- 10.2.1 China Generative AI in Legal Revenue by Type (2021-2026)
- 10.2.2 China Generative AI in Legal Revenue by Type (2027-2032)
- 10.3 China Generative AI in Legal Revenue Share by Type (2021-2032)
- 10.4 China Generative AI in Legal Revenue by Application (2021-2032)
- 10.4.1 China Generative AI in Legal Revenue by Application (2021-2026)
- 10.4.2 China Generative AI in Legal Revenue by Application (2027-2032)
- 10.5 China Generative AI in Legal Revenue Share by Application (2021-2032)
11 Asia (Excluding China)
- 11.1 Asia Generative AI in Legal Revenue (2021-2032)
- 11.2 Asia Generative AI in Legal Revenue by Type (2021-2032)
- 11.2.1 Asia Generative AI in Legal Revenue by Type (2021-2026)
- 11.2.2 Asia Generative AI in Legal Revenue by Type (2027-2032)
- 11.3 Asia Generative AI in Legal Revenue Share by Type (2021-2032)
- 11.4 Asia Generative AI in Legal Revenue by Application (2021-2032)
- 11.4.1 Asia Generative AI in Legal Revenue by Application (2021-2026)
- 11.4.2 Asia Generative AI in Legal Revenue by Application (2027-2032)
- 11.5 Asia Generative AI in Legal Revenue Share by Application (2021-2032)
- 11.6 Asia Generative AI in Legal Revenue by Country
- 11.6.1 Asia Generative AI in Legal Revenue by Country (2021 VS 2025 VS 2032)
- 11.6.2 Asia Generative AI in Legal Revenue by Country (2021-2026)
- 11.6.3 Asia Generative AI in Legal Revenue by Country (2027-2032)
- 11.6.4 Japan
- 11.6.5 South Korea
- 11.6.6 India
- 11.6.7 Australia
- 11.6.8 Taiwan
- 11.6.9 Southeast Asia
12 South America, Middle East and Africa
- 12.1 SAMEA Generative AI in Legal Revenue (2021-2032)
- 12.2 SAMEA Generative AI in Legal Revenue by Type (2021-2032)
- 12.2.1 SAMEA Generative AI in Legal Revenue by Type (2021-2026)
- 12.2.2 SAMEA Generative AI in Legal Revenue by Type (2027-2032)
- 12.3 SAMEA Generative AI in Legal Revenue Share by Type (2021-2032)
- 12.4 SAMEA Generative AI in Legal Revenue by Application (2021-2032)
- 12.4.1 SAMEA Generative AI in Legal Revenue by Application (2021-2026)
- 12.4.2 SAMEA Generative AI in Legal Revenue by Application (2027-2032)
- 12.5 SAMEA Generative AI in Legal Revenue Share by Application (2021-2032)
- 12.6 SAMEA Generative AI in Legal Revenue by Country
- 12.6.1 SAMEA Generative AI in Legal Revenue by Country (2021 VS 2025 VS 2032)
- 12.6.2 SAMEA Generative AI in Legal Revenue by Country (2021-2026)
- 12.6.3 SAMEA Generative AI in Legal Revenue by Country (2027-2032)
- 12.6.4 Brazil
- 12.6.5 Argentina
- 12.6.6 Chile
- 12.6.7 Colombia
- 12.6.8 Peru
- 12.6.9 Saudi Arabia
- 12.6.10 Israel
- 12.6.11 UAE
- 12.6.12 Turkey
- 12.6.13 Iran
- 12.6.14 Egypt
13 Concluding Insights
14 Appendix
- 14.1 Reasons for Doing This Study
- 14.2 Research Methodology
- 14.3 Research Process
- 14.4 Authors List of This Report
- 14.5 Data Source
- 14.5.1 Secondary Sources
- 14.5.2 Primary Sources
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