Legal AI Software Market Synopsis

Legal AI Software Market Size Was Valued at USD 3.2 Billion in 2023, and is Projected to Reach USD 7.36 Billion by 2032, Growing at a CAGR of 9.7% From 2024-2032.

Legal AI software, also known as legal artificial intelligence software, refers to technological solutions designed to assist lawyers, legal professionals, and law firms in various aspects of their work using artificial intelligence (AI) techniques. This software applies AI algorithms to analyze legal data, documents, and processes, to improve efficiency, accuracy, and decision-making in the legal domain.

  • Legal AI software automatically reviews and analyzes large volumes of legal documents, contracts, emails, and other textual data. It can extract relevant information, identify key clauses, flag potential risks or inconsistencies, and categorize documents based on predefined criteria. Legal AI software can automatically review and analyze large volumes of legal documents, contracts, emails, and other textual data. It can extract relevant information, identify key clauses, flag potential risks or inconsistencies, and categorize documents based on predefined criteria.
  • Legal AI is reviewed document and analysis, where AI algorithms efficiently sift through large volumes of legal documents, contracts, and emails, extracting pertinent information, identifying key clauses, and flagging potential risks or inconsistencies. moreover, legal AI software enhances legal research by leveraging natural language processing (NLP) and machine learning algorithms to analyze case law, statutes, regulations, and legal literature, providing lawyers with relevant precedents, case summaries, and insights to support their arguments or advice to clients.
  • Legal AI used in contract management, where AI-powered platforms streamline the creation, negotiation, and management of contracts, assisting with drafting, comparison, tracking milestones, and alerting users to deadlines or renewals. Moreover, legal AI software facilitates due diligence processes in mergers and acquisitions by analyzing corporate documents, financial records, and regulatory filings to identify risks, liabilities, and compliance issues.
  • legal AI software aids in compliance and regulatory monitoring by tracking changes in laws and regulations, assessing their impact on existing policies or contracts, and recommending necessary adjustments. Furthermore, virtual legal assistants and chatbots powered by AI technology provide clients with instant access to basic legal information, appointment scheduling, and document preparation, enhancing client services while freeing up human lawyers to focus on more complex matters.
  • The software is experiencing rapid growth due to several factors driving its adoption and utilization within the legal industry. However, the rising demand for cost-effective and scalable solutions in legal practice has fueled the adoption of AI technology, as it offers the potential to reduce operational costs, improve productivity, and enhance overall profitability for law firms and legal departments. Furthermore, advancements in artificial intelligence, natural language processing, and machine learning significantly enhanced the capabilities of legal AI software, making it increasingly sophisticated and capable of handling complex legal tasks previously reserved for human lawyers.
  • legal professionals are increasingly recognizing the potential of AI technology to augment their skills, improve decision-making, and deliver better outcomes for their clients, driving further adoption and growth of legal AI software across the industry. the convergence of technological innovation, evolving client expectations, and the need for efficiency and competitiveness in the legal market are fueling the rapid growth of Legal AI Software.

Legal AI Software Market Trend Analysis

Increasing Demand For Automation In Legal AI Software

  • Automation in legal AI software enables repetitive and time-consuming tasks such as document review, contract analysis, and legal research to be performed quickly and accurately, freeing up valuable time for lawyers to focus on higher-value tasks such as case strategy, client communication, and complex legal analysis. By automating routine tasks, legal AI software enhances productivity and enables legal professionals to handle more work in less time.
  • The traditional legal process often involves significant manual labor, which can be costly and time-consuming. Automation in legal AI software helps reduce the need for manual intervention, thereby lowering operational costs associated with labor, time, and resources. Automation in legal AI software eliminates the risk of human error by applying predefined rules, algorithms, and machine learning models to analyze and review legal documents with high levels of accuracy and consistency.
  • Law firms and legal departments grow and expand their operations, they often face challenges in scaling their resources and capabilities to meet increasing demand. Automation in legal AI software offers scalability and flexibility by enabling firms to handle larger volumes of work without significant increases in staffing or infrastructure.
  • Law firms and legal departments are constantly seeking ways to differentiate themselves and provide added value to their clients.
  • Automation in legal AI software offers a strategic advantage by enabling firms to deliver faster turnaround times, more accurate legal analysis, and more comprehensive services than their competitors. By leveraging automation technology, firms can enhance client satisfaction, increase client retention, and position themselves as leaders in the market, thereby gaining a competitive edge over their rivals.

Restraints

Lack of Awareness Among Law Firms

  • Law firms operate with a traditional mindset that relies heavily on manual processes and human expertise. Law firms have limited exposure to information about legal AI software, Without access to relevant information or demonstrations of the benefits of legal AI software, firms may remain unaware of its potential value.
  • Legal AI software often incorporates complex technologies such as artificial intelligence, natural language processing, and machine learning. For firms without specialized IT or technical expertise, understanding and implementing these technologies can seem daunting and may deter them from exploring legal AI solutions.
  • Some law firms may perceive legal AI software as expensive or inaccessible, particularly if they operate on tight budgets or have concerns about return on investment. The perceived costs of purchasing, implementing, and training staff on new software may outweigh the perceived benefits, leading firms to prioritize other investments.
  • Legal professionals may lack adequate training and education on legal AI software, including how it works, its potential applications, and best practices for implementation. Without proper training and guidance, firms may struggle to understand the benefits of legal AI software and how to effectively integrate it into their workflows.

Opportunity

Legal Research Processes To Improve Efficiency And Accuracy For Law Firms

  • Legal research can be optimized to increase efficiency, accuracy, and productivity for law firms. AI-powered platforms can reduce research time by identifying relevant precedents, extracting key insights, and providing comprehensive summaries. This allows lawyers to focus on higher-value activities. Legal AI software optimizes resource allocation, minimizes overhead expenses, and delivers cost-effective services.
  • Accessing a comprehensive database of legal information through a single platform reduces the need for multiple subscriptions. Advanced search capabilities, sophisticated algorithms, and quality control mechanisms ensure research results are accurate and reliable.
  • Standardizing research methodologies and leveraging machine learning algorithms can help law firms achieve greater consistency in their analysis and advice. Legal AI software aggregates and updates vast repositories of legal information in real-time, providing lawyers with instant access to the latest case law, statutes, regulations, and scholarly articles.

Challenges

Addressing Concerns About The Reliability And Accuracy Of AI-Generated Legal Insights And Recommendations

  • Addressing concerns about the reliability and accuracy of AI-generated legal insights and recommendations presents a multifaceted challenge within the legal industry. one of the primary concerns is the potential for bias in AI algorithms, which can arise from biased training data or the inherent biases of the developers. Moreover, the complexity of legal reasoning and interpretation poses a significant challenge for AI systems, as they may struggle to accurately capture the nuanced nuances of legal language and context.
  • Legal professionals are rightfully cautious about relying solely on AI-generated insights without human oversight, as AI systems may overlook critical factors or misinterpret subtle legal nuances that could affect the outcome of a case. Furthermore, the lack of transparency and explainability in AI algorithms further exacerbates concerns about their reliability and accuracy. Legal professionals often require a clear understanding of how AI systems arrive at their recommendations to trust and validate their findings.
  • The dynamic nature of the legal landscape, with constantly evolving laws, regulations, and precedents, presents an ongoing challenge for AI systems to stay up-to-date and relevant. Legal AI software must continually adapt and learn from new data to provide accurate and timely insights, which requires robust mechanisms for monitoring and updating AI models

Legal AI Software Market Segment Analysis:

Legal AI Software Market Segmented based on Type, Application, Component, And End-Users.

By Type, Services segment is expected to dominate the market during the forecast period

  • The Services segment is expected to dominate the market in legal AI software. the complexity and specialized nature of legal processes often necessitate tailored solutions and expert guidance to effectively implement and utilize AI technology within law firms and legal departments. Service providers offer consulting, customization, integration, and ongoing support services to help clients navigate the adoption of legal AI software, optimize its performance, and maximize its impact on their operations.
  • Legal professionals may lack the technical expertise and resources required to develop and maintain AI solutions in-house, driving demand for external service providers who can offer turnkey solutions and specialized expertise in legal AI technology. Furthermore, the rapidly evolving nature of AI technology and the legal landscape necessitates continuous learning and adaptation to stay competitive. Service providers offer training, education, and updates on the latest developments in legal AI software, enabling clients to stay informed and leverage new capabilities to their advantage.
  • The Services segment encompasses a wide range of offerings, including implementation, training, support, managed services, and consulting, catering to the diverse needs and preferences of clients across different geographies, industries, and organizational sizes. as the legal AI software market matures and competition intensifies, service providers differentiate themselves based on the quality and breadth of their service offerings, establishing strong customer relationships and driving revenue growth in the Services segment. 

By Application, Contract Management held the largest share of 51.8% in 2023

  • The contract Management segment is dominating the legal AI software. contract management is a critical and ubiquitous function within the legal domain, spanning across various industries and organizational sizes. Contracts form the foundation of business relationships, governing transactions, obligations, and rights between parties. the need for efficient and effective contract management solutions is universal, driving significant demand for AI-powered tools that streamline contract creation, negotiation, execution, and ongoing management.
  • The complexity and volume of contracts handled by organizations have increased substantially in recent years, driven by factors such as globalization, regulatory requirements, and the proliferation of digital transactions. Manual contract management processes are time-consuming, error-prone, and resource-intensive, leading organizations to seek automation solutions that can improve efficiency, reduce risk, and enhance compliance.
  • The Contract Management segment of the legal AI software market is characterized by a diverse range of offerings, including standalone contract management platforms, integrated legal technology suites, and specialized tools tailored to specific industries or use cases. This diversity of solutions allows organizations to choose the most suitable option based on their unique requirements, budget, and technical capabilities.

Legal AI Software Market Regional Insights:

North America is Expected to Dominate the Market Over the Forecast period

  • Legal AI software is highly dominant in North America, particularly in the United States and Canada. United States, boasts one of the largest and most advanced legal services markets globally. The region is home to numerous law firms, corporate legal departments, government agencies, and legal service providers that handle a wide range of legal matters for clients across various industries. The complexity and scale of legal operations in North America create a strong demand for innovative technology solutions to enhance efficiency, accuracy, and client service delivery.
  • North America is a global leader in technological innovation, with thriving tech hubs Legal AI software benefits from this rich ecosystem of innovation, with companies developing cutting-edge solutions tailored to the needs of legal professionals in North America. The legal industry in North America places a strong emphasis on efficiency, cost-effectiveness, and delivering value to clients. Legal AI software offers significant potential to streamline labor-intensive tasks, automate routine processes, reduce manual errors, and lower operational costs for law firms and legal departments. there is a high level of interest and adoption of legal AI software among legal professionals seeking to gain a competitive edge, improve productivity, and enhance client satisfaction.

Legal AI Software Market Top Key Players: 

  • Thomson Reuters (US)
  • Veritone (US)
  • iManage (US)
  • LexisNexis (US)
  • Neota Logic (US)
  • Everlaw (US)
  • Legalsifter (US)
  • Cognitiv+ (US)
  • Casetext (US)
  • Klarity (US)
  • Omni Software Systems (US)
  • LexisNexis Group Inc (US)
  • Lawgeex (US)
  • Ross Intelligence (Canada)
  • OpenText (Canada)
  • Kira (Canada)
  • EY Riverview Law (UK)
  • Luminance (UK)
  • Nalanda Technology (UK)
  • Rradar (UK)
  • Luminance Technologies Ltd. (UK), and Other Major Players

Key Industry Developments in the Legal AI Software Market:

 

  • In May 2024, Cin7, a top inventory and order management software provider, finalized the acquisition of Inventoro, a prominent AI-driven sales forecasting and replenishment optimization firm. This strategic move expanded product sellers' access to cutting-edge AI technology through Cin7's platform. Integrating Inventoro's expertise enriched Cin7's offerings, empowering customers to augment their inventory and order management processes with intelligent prediction and optimization features. The synergy between the two entities marked a significant advancement in intelligent commerce, equipping businesses with advanced tools to streamline operations and drive growth.
  • In April 2024, Aderant, a prominent provider of legal business management solutions, forged a collaboration with Vanderbilt Law School, aimed at fostering AI legal technology innovation. This partnership aimed to raise awareness about artificial intelligence's potential benefits for law students and firms. Aderant's introduction of AI tools like MADDI, complemented by Vanderbilt Law's establishment of the Vanderbilt AI Law Lab (VAILL), underscored their shared commitment to exploring AI's role in legal service delivery and access to justice. Together, they propelled advancements in AI-driven legal solutions, enriching educational opportunities for future lawyers while empowering law firms to embrace transformative technologies.
  •  

Global Legal AI Software Market

Base Year:

2023

Forecast Period:

2024-2032

Historical Data:

2017 to 2023

Market Size in 2023:

3.2 Bn

Forecast Period 2024-32 CAGR:

9.7%

Market Size in 2032:

7.36 Bn

Segments Covered:

By Type

  • Solution
  • Services

By Application

  • Legal Research
  • Contract Management
  • E-Discovery

By Component

  • On-Premises
  • Cloud

By End User

  • Corporate Legal Departments
  • Law Firms

By Region

  • North America (U.S., Canada, Mexico)
  • Eastern Europe (Bulgaria, The Czech Republic, Hungary, Poland, Romania, Rest of Eastern Europe)
  • Western Europe (Germany, UK, France, Netherlands, Italy, Russia, Spain, Rest of Western Europe)
  • Asia Pacific (China, India, Japan, South Korea, Malaysia, Thailand, Vietnam, The Philippines, Australia, New-Zealand, Rest of APAC)
  • Middle East & Africa (Turkey, Bahrain, Kuwait, Saudi Arabia, Qatar, UAE, Israel, South Africa)
  • South America (Brazil, Argentina, Rest of SA)

Key Market Drivers:

  • Increasing Demand For Automation In Legal AI Software

Key Market Restraints:

  • Lack of Awareness Among Law Firms

Key Opportunities:

  • Legal Research Processes To Improve Efficiency And Accuracy For Law Firms

Companies Covered in the report:

  • Thomson Reuters (US), Veritone (US), iManage (US), Ross Intelligence (Canada), Luminance (UK), and Other Major Players.
  1. INTRODUCTION
    1. RESEARCH OBJECTIVES
    2. RESEARCH METHODOLOGY
    3. RESEARCH PROCESS
    4. SCOPE AND COVERAGE
      1. Market Definition
      2. Key Questions Answered
    5. MARKET SEGMENTATION
  2. EXECUTIVE SUMMARY
  3. MARKET OVERVIEW
  4. GROWTH OPPORTUNITIES BY SEGMENT
  5. MARKET LANDSCAPE
    1. PORTER’S FIVE FORCES ANALYSIS
      1. Bargaining Power Of Supplier
      2. Threat Of New Entrants
      3. Threat Of Substitutes
      4. Competitive Rivalry
      5. Bargaining Power Among Buyers
    2. INDUSTRY VALUE CHAIN ANALYSIS
    3. MARKET DYNAMICS
      1. Drivers
      2. Restraints
      3. Opportunities
      4. Challenges
    4. MARKET TREND ANALYSIS
    5. REGULATORY LANDSCAPE
    6. PESTLE ANALYSIS
    7. PRICE TREND ANALYSIS
    8. PATENT ANALYSIS
    9. TECHNOLOGY EVALUATION
    10. MARKET IMPACT OF THE RUSSIA-UKRAINE WAR
      1. Geopolitical Market Disruptions
      2. Supply Chain Disruptions
      3. Instability in Emerging Markets
    11. ECOSYSTEM
  6. LEGAL AI SOFTWARE MARKET BY TYPE (2017-2032)
    1. LEGAL AI SOFTWARE MARKET SNAPSHOT AND GROWTH ENGINE
    2. MARKET OVERVIEW
    3. SOLUTION
      1. Introduction And Market Overview
      2. Historic And Forecasted Market Size in Value (2017 – 2032F)
      3. Historic And Forecasted Market Size in Volume (2017 – 2032F)
      4. Key Market Trends, Growth Factors And Opportunities
      5. Geographic Segmentation Analysis
    4. SERVICES
  7. LEGAL AI SOFTWARE MARKET BY APPLICATION (2017-2032)
    1. LEGAL AI SOFTWARE MARKET SNAPSHOT AND GROWTH ENGINE
    2. MARKET OVERVIEW
    3. LEGAL RESEARCH
      1. Introduction And Market Overview
      2. Historic And Forecasted Market Size in Value (2017 – 2032F)
      3. Historic And Forecasted Market Size in Volume (2017 – 2032F)
      4. Key Market Trends, Growth Factors And Opportunities
      5. Geographic Segmentation Analysis
    4. E-DISCOVERY
    5. CONTRACT MANAGEMENT
  8. LEGAL AI SOFTWARE MARKET BY COMPONENT (2017-2032)
    1. LEGAL AI SOFTWARE MARKET SNAPSHOT AND GROWTH ENGINE
    2. MARKET OVERVIEW
    3. CLOUD
      1. Introduction And Market Overview
      2. Historic And Forecasted Market Size in Value (2017 – 2032F)
      3. Historic And Forecasted Market Size in Volume (2017 – 2032F)
      4. Key Market Trends, Growth Factors And Opportunities
      5. Geographic Segmentation Analysis
    4. ON-PREMISES SEGMENT
  9. LEGAL AI SOFTWARE MARKET BY END-USER (2017-2032)
    1. LEGAL AI SOFTWARE MARKET SNAPSHOT AND GROWTH ENGINE
    2. MARKET OVERVIEW
    3. LAW FIRMS
      1. Introduction And Market Overview
      2. Historic And Forecasted Market Size in Value (2017 – 2032F)
      3. Historic And Forecasted Market Size in Volume (2017 – 2032F)
      4. Key Market Trends, Growth Factors And Opportunities
      5. Geographic Segmentation Analysis
    4. CORPORATE LEGAL DEPARTMENTS SEGMENT
  10. COMPANY PROFILES AND COMPETITIVE ANALYSIS
    1. COMPETITIVE LANDSCAPE
      1. Competitive Positioning
      2. Legal AI Software Market Share By Manufacturer (2023)
      3. Industry BCG Matrix
      4. Heat Map Analysis
      5. Mergers & Acquisitions
    2. THOMSON REUTERS (US)
      1. Company Overview
      2. Key Executives
      3. Company Snapshot
      4. Role of the Company in the Market
      5. Sustainability and Social Responsibility
      6. Operating Business Segments
      7. Product Portfolio
      8. Business Performance (Production Volume, Sales Volume, Sales Margin, Production Capacity, Capacity Utilization Rate)
      9. Key Strategic Moves And Recent Developments
      10. SWOT Analysis
    3. VERITONE (US)
    4. IMANAGE (US)
    5. LEXISNEXIS (US)
    6. NEOTA LOGIC (US)
    7. EVERLAW (US)
    8. LEGALSIFTER (US)
    9. PENSIEVE (US)
    10. COGNITIV+ (US)
    11. CASETEXT (US)
    12. KLARITY (US)
    13. OMNI SOFTWARE SYSTEMS (US)
    14. LEXISNEXIS GROUP INC (US)
    15. LAWGEEX (US)
    16. ROSS INTELLIGENCE (CANADA)
    17. OPENTEXT (CANADA)
    18. KIRA (CANADA)
    19. EY RIVERVIEW LAW (UK)
    20. LUMINANCE (UK)
    21. NALANDA TECHNOLOGY (UK)
    22. RRADAR (UK)
    23. LUMINANCE TECHNOLOGIES LTD. (UK),
  11. GLOBAL LEGAL AI SOFTWARE MARKET BY REGION
    1. OVERVIEW
    2. NORTH AMERICA
      1. Key Market Trends, Growth Factors And Opportunities
      2. Key Manufacturers
      3. Historic And Forecasted Market Size By Type
      4. Historic And Forecasted Market Size By Application
      5. Historic And Forecasted Market Size By Component
      6. Historic And Forecasted Market Size By End User
      7. Historic And Forecasted Market Size By Country
        1. USA
        2. Canada
        3. Mexico
    3. EASTERN EUROPE
      1. Key Market Trends, Growth Factors And Opportunities
      2. Key Manufacturers
      3. Historic And Forecasted Market Size By Segments
      4. Historic And Forecasted Market Size By Country
        1. Russia
        2. Bulgaria
        3. The Czech Republic
        4. Hungary
        5. Poland
        6. Romania
        7. Rest Of Eastern Europe
    4. WESTERN EUROPE
      1. Key Market Trends, Growth Factors And Opportunities
      2. Key Manufacturers
      3. Historic And Forecasted Market Size By Segments
      4. Historic And Forecasted Market Size By Country
        1. Germany
        2. United Kingdom
        3. France
        4. The Netherlands
        5. Italy
        6. Spain
        7. Rest Of Western Europe
    5. ASIA PACIFIC
      1. Key Market Trends, Growth Factors And Opportunities
      2. Key Manufacturers
      3. Historic And Forecasted Market Size By Segments
      4. Historic And Forecasted Market Size By Country
        1. China
        2. India
        3. Japan
        4. South Korea
        5. Malaysia
        6. Thailand
        7. Vietnam
        8. The Philippines
        9. Australia
        10. New-Zealand
        11. Rest Of APAC
    6. MIDDLE EAST & AFRICA
      1. Key Market Trends, Growth Factors And Opportunities
      2. Key Manufacturers
      3. Historic And Forecasted Market Size By Segments
      4. Historic And Forecasted Market Size By Country
        1. Turkey
        2. Bahrain
        3. Kuwait
        4. Saudi Arabia
        5. Qatar
        6. UAE
        7. Israel
        8. South Africa
    7. SOUTH AMERICA
      1. Key Market Trends, Growth Factors And Opportunities
      2. Key Manufacturers
      3. Historic And Forecasted Market Size By Segments
      4. Historic And Forecasted Market Size By Country
        1. Brazil
        2. Argentina
        3. Rest of South America
  12. INVESTMENT ANALYSIS
  13. ANALYST VIEWPOINT AND CONCLUSION
    1. Recommendations and Concluding Analysis
    2. Potential Market Strategies

Global Legal AI Software Market

Base Year:

2023

Forecast Period:

2024-2032

Historical Data:

2017 to 2023

Market Size in 2023:

3.2 Bn

Forecast Period 2024-32 CAGR:

9.7%

Market Size in 2032:

7.36 Bn

Segments Covered:

By Type

  • Solution
  • Services

By Application

  • Legal Research
  • Contract Management
  • E-Discovery

By Component

  • On-Premises
  • Cloud

By End User

  • Corporate Legal Departments
  • Law Firms

By Region

  • North America (U.S., Canada, Mexico)
  • Eastern Europe (Bulgaria, The Czech Republic, Hungary, Poland, Romania, Rest of Eastern Europe)
  • Western Europe (Germany, UK, France, Netherlands, Italy, Russia, Spain, Rest of Western Europe)
  • Asia Pacific (China, India, Japan, South Korea, Malaysia, Thailand, Vietnam, The Philippines, Australia, New-Zealand, Rest of APAC)
  • Middle East & Africa (Turkey, Bahrain, Kuwait, Saudi Arabia, Qatar, UAE, Israel, South Africa)
  • South America (Brazil, Argentina, Rest of SA)

Key Market Drivers:

  • Increasing Demand For Automation In Legal AI Software

Key Market Restraints:

  • Lack of Awareness Among Law Firms

Key Opportunities:

  • Legal Research Processes To Improve Efficiency And Accuracy For Law Firms

Companies Covered in the report:

  • Thomson Reuters (US), Veritone (US), iManage (US), Ross Intelligence (Canada), Luminance (UK), and Other Major Players.

LIST OF TABLES

TABLE 001. EXECUTIVE SUMMARY
TABLE 002. LEGAL AI SOFTWARE MARKET BARGAINING POWER OF SUPPLIERS
TABLE 003. LEGAL AI SOFTWARE MARKET BARGAINING POWER OF CUSTOMERS
TABLE 004. LEGAL AI SOFTWARE MARKET COMPETITIVE RIVALRY
TABLE 005. LEGAL AI SOFTWARE MARKET THREAT OF NEW ENTRANTS
TABLE 006. LEGAL AI SOFTWARE MARKET THREAT OF SUBSTITUTES
TABLE 007. LEGAL AI SOFTWARE MARKET BY TYPE
TABLE 008. CLOUD MARKET OVERVIEW (2016-2028)
TABLE 009. ON PREMISES MARKET OVERVIEW (2016-2028)
TABLE 010. LEGAL AI SOFTWARE MARKET BY APPLICATION
TABLE 011. LEGAL RESEARCH MARKET OVERVIEW (2016-2028)
TABLE 012. EDISCOVERY MARKET OVERVIEW (2016-2028)
TABLE 013. CASE PREDICTION MARKET OVERVIEW (2016-2028)
TABLE 014. CONTRACT MANAGEMENT MARKET OVERVIEW (2016-2028)
TABLE 015. COMPLIANCE MARKET OVERVIEW (2016-2028)
TABLE 016. OTHERS MARKET OVERVIEW (2016-2028)
TABLE 017. NORTH AMERICA LEGAL AI SOFTWARE MARKET, BY TYPE (2016-2028)
TABLE 018. NORTH AMERICA LEGAL AI SOFTWARE MARKET, BY APPLICATION (2016-2028)
TABLE 019. N LEGAL AI SOFTWARE MARKET, BY COUNTRY (2016-2028)
TABLE 020. EUROPE LEGAL AI SOFTWARE MARKET, BY TYPE (2016-2028)
TABLE 021. EUROPE LEGAL AI SOFTWARE MARKET, BY APPLICATION (2016-2028)
TABLE 022. LEGAL AI SOFTWARE MARKET, BY COUNTRY (2016-2028)
TABLE 023. ASIA PACIFIC LEGAL AI SOFTWARE MARKET, BY TYPE (2016-2028)
TABLE 024. ASIA PACIFIC LEGAL AI SOFTWARE MARKET, BY APPLICATION (2016-2028)
TABLE 025. LEGAL AI SOFTWARE MARKET, BY COUNTRY (2016-2028)
TABLE 026. MIDDLE EAST & AFRICA LEGAL AI SOFTWARE MARKET, BY TYPE (2016-2028)
TABLE 027. MIDDLE EAST & AFRICA LEGAL AI SOFTWARE MARKET, BY APPLICATION (2016-2028)
TABLE 028. LEGAL AI SOFTWARE MARKET, BY COUNTRY (2016-2028)
TABLE 029. SOUTH AMERICA LEGAL AI SOFTWARE MARKET, BY TYPE (2016-2028)
TABLE 030. SOUTH AMERICA LEGAL AI SOFTWARE MARKET, BY APPLICATION (2016-2028)
TABLE 031. LEGAL AI SOFTWARE MARKET, BY COUNTRY (2016-2028)
TABLE 032. IBM: SNAPSHOT
TABLE 033. IBM: BUSINESS PERFORMANCE
TABLE 034. IBM: PRODUCT PORTFOLIO
TABLE 035. IBM: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 035. ROSS INTELLIGENCE: SNAPSHOT
TABLE 036. ROSS INTELLIGENCE: BUSINESS PERFORMANCE
TABLE 037. ROSS INTELLIGENCE: PRODUCT PORTFOLIO
TABLE 038. ROSS INTELLIGENCE: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 038. THOMSON REUTERS: SNAPSHOT
TABLE 039. THOMSON REUTERS: BUSINESS PERFORMANCE
TABLE 040. THOMSON REUTERS: PRODUCT PORTFOLIO
TABLE 041. THOMSON REUTERS: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 041. VERITONE: SNAPSHOT
TABLE 042. VERITONE: BUSINESS PERFORMANCE
TABLE 043. VERITONE: PRODUCT PORTFOLIO
TABLE 044. VERITONE: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 044. IMANAGE: SNAPSHOT
TABLE 045. IMANAGE: BUSINESS PERFORMANCE
TABLE 046. IMANAGE: PRODUCT PORTFOLIO
TABLE 047. IMANAGE: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 047. LUMINANCE: SNAPSHOT
TABLE 048. LUMINANCE: BUSINESS PERFORMANCE
TABLE 049. LUMINANCE: PRODUCT PORTFOLIO
TABLE 050. LUMINANCE: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 050. LEXISNEXIS: SNAPSHOT
TABLE 051. LEXISNEXIS: BUSINESS PERFORMANCE
TABLE 052. LEXISNEXIS: PRODUCT PORTFOLIO
TABLE 053. LEXISNEXIS: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 053. NEOTA LOGIC: SNAPSHOT
TABLE 054. NEOTA LOGIC: BUSINESS PERFORMANCE
TABLE 055. NEOTA LOGIC: PRODUCT PORTFOLIO
TABLE 056. NEOTA LOGIC: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 056. EVERLAW: SNAPSHOT
TABLE 057. EVERLAW: BUSINESS PERFORMANCE
TABLE 058. EVERLAW: PRODUCT PORTFOLIO
TABLE 059. EVERLAW: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 059. LEGALSIFTER: SNAPSHOT
TABLE 060. LEGALSIFTER: BUSINESS PERFORMANCE
TABLE 061. LEGALSIFTER: PRODUCT PORTFOLIO
TABLE 062. LEGALSIFTER: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 062. PENSIEVE: SNAPSHOT
TABLE 063. PENSIEVE: BUSINESS PERFORMANCE
TABLE 064. PENSIEVE: PRODUCT PORTFOLIO
TABLE 065. PENSIEVE: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 065. COGNITIV+: SNAPSHOT
TABLE 066. COGNITIV+: BUSINESS PERFORMANCE
TABLE 067. COGNITIV+: PRODUCT PORTFOLIO
TABLE 068. COGNITIV+: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 068. CASETEXT: SNAPSHOT
TABLE 069. CASETEXT: BUSINESS PERFORMANCE
TABLE 070. CASETEXT: PRODUCT PORTFOLIO
TABLE 071. CASETEXT: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 071. KLARITY: SNAPSHOT
TABLE 072. KLARITY: BUSINESS PERFORMANCE
TABLE 073. KLARITY: PRODUCT PORTFOLIO
TABLE 074. KLARITY: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 074. OMNI SOFTWARE SYSTEMS: SNAPSHOT
TABLE 075. OMNI SOFTWARE SYSTEMS: BUSINESS PERFORMANCE
TABLE 076. OMNI SOFTWARE SYSTEMS: PRODUCT PORTFOLIO
TABLE 077. OMNI SOFTWARE SYSTEMS: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 077. NALANDA TECHNOLOGY: SNAPSHOT
TABLE 078. NALANDA TECHNOLOGY: BUSINESS PERFORMANCE
TABLE 079. NALANDA TECHNOLOGY: PRODUCT PORTFOLIO
TABLE 080. NALANDA TECHNOLOGY: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 080. LAWGEEX: SNAPSHOT
TABLE 081. LAWGEEX: BUSINESS PERFORMANCE
TABLE 082. LAWGEEX: PRODUCT PORTFOLIO
TABLE 083. LAWGEEX: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 083. KIRA: SNAPSHOT
TABLE 084. KIRA: BUSINESS PERFORMANCE
TABLE 085. KIRA: PRODUCT PORTFOLIO
TABLE 086. KIRA: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 086. EY RIVERVIEW LAW: SNAPSHOT
TABLE 087. EY RIVERVIEW LAW: BUSINESS PERFORMANCE
TABLE 088. EY RIVERVIEW LAW: PRODUCT PORTFOLIO
TABLE 089. EY RIVERVIEW LAW: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 089. OPENTEXT: SNAPSHOT
TABLE 090. OPENTEXT: BUSINESS PERFORMANCE
TABLE 091. OPENTEXT: PRODUCT PORTFOLIO
TABLE 092. OPENTEXT: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 092. RRADAR: SNAPSHOT
TABLE 093. RRADAR: BUSINESS PERFORMANCE
TABLE 094. RRADAR: PRODUCT PORTFOLIO
TABLE 095. RRADAR: KEY STRATEGIC MOVES AND DEVELOPMENTS

LIST OF FIGURES

FIGURE 001. YEARS CONSIDERED FOR ANALYSIS
FIGURE 002. SCOPE OF THE STUDY
FIGURE 003. LEGAL AI SOFTWARE MARKET OVERVIEW BY REGIONS
FIGURE 004. PORTER'S FIVE FORCES ANALYSIS
FIGURE 005. BARGAINING POWER OF SUPPLIERS
FIGURE 006. COMPETITIVE RIVALRYFIGURE 007. THREAT OF NEW ENTRANTS
FIGURE 008. THREAT OF SUBSTITUTES
FIGURE 009. VALUE CHAIN ANALYSIS
FIGURE 010. PESTLE ANALYSIS
FIGURE 011. LEGAL AI SOFTWARE MARKET OVERVIEW BY TYPE
FIGURE 012. CLOUD MARKET OVERVIEW (2016-2028)
FIGURE 013. ON PREMISES MARKET OVERVIEW (2016-2028)
FIGURE 014. LEGAL AI SOFTWARE MARKET OVERVIEW BY APPLICATION
FIGURE 015. LEGAL RESEARCH MARKET OVERVIEW (2016-2028)
FIGURE 016. EDISCOVERY MARKET OVERVIEW (2016-2028)
FIGURE 017. CASE PREDICTION MARKET OVERVIEW (2016-2028)
FIGURE 018. CONTRACT MANAGEMENT MARKET OVERVIEW (2016-2028)
FIGURE 019. COMPLIANCE MARKET OVERVIEW (2016-2028)
FIGURE 020. OTHERS MARKET OVERVIEW (2016-2028)
FIGURE 021. NORTH AMERICA LEGAL AI SOFTWARE MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 022. EUROPE LEGAL AI SOFTWARE MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 023. ASIA PACIFIC LEGAL AI SOFTWARE MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 024. MIDDLE EAST & AFRICA LEGAL AI SOFTWARE MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 025. SOUTH AMERICA LEGAL AI SOFTWARE MARKET OVERVIEW BY COUNTRY (2016-2028)

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Frequently Asked Questions :

What would be the forecast period in the Legal AI Software Market research report?

The forecast period in the Legal AI Software Market research report is 2024-2032.

Who are the key players in the Legal AI Software Market?

Ross Intelligence (Canada), Thomson Reuters (US), Veritone (US), iManage (US), Luminance (UK), LexisNexis (US), Neota Logic (US), Everlaw (US), Legalsifter (US), Pensieve (US), Cognitiv+ (US), Casetext (US), Klarity (US), Omni Software Systems (US), Nalanda Technology (UK), Lawgeex (US), Kira (Canada), EY Riverview Law (UK), OpenText (Canada), Rradar (UK), Luminance Technologies Ltd. (UK), LexisNexis Group Inc (US) and Other Major Players.

What are the segments of the Legal AI Software Market?

The Legal AI Software Market is segmented into Type, Application, Component, End User, and region. By Type, the market is categorized into Services and solutions. By application, the market is categorized into Legal Research, Contract Management, and E-Discovery. By Component, the market is categorized into On-Premises and Cloud. By End User, the market is categorized into Corporate Legal Departments and Law Firms. By region, it is analyzed across North America (U.S.; Canada; Mexico), Eastern Europe (Bulgaria; The Czech Republic; Hungary; Poland; Romania; Rest of Eastern Europe), Western Europe (Germany; UK; France; Netherlands; Italy; Russia; Spain; Rest of Western Europe), Asia-Pacific (China; India; Japan; Southeast Asia, etc.), South America (Brazil; Argentina, etc.), Middle East & Africa (Saudi Arabia; South Africa, etc.).

What is the Legal AI Software Market?

The Legal AI Software Market refers to the industry segment focused on the development, provision, and adoption of artificial intelligence (AI) technologies within the legal sector. This market encompasses a wide range of software solutions and services designed to assist lawyers, legal professionals, law firms, corporate legal departments, and other entities in various legal tasks and processes. Legal AI software leverages advanced technologies such as natural language processing (NLP), machine learning (ML), predictive analytics, and data mining to automate repetitive tasks, analyze large volumes of legal data, extract insights from legal documents, and facilitate decision-making in legal matters.

How big is the Legal AI Software Market?

Legal AI Software Market Size Was Valued at USD 3.2 Billion in 2023, and is Projected to Reach USD 7.36 Billion by 2032, Growing at a CAGR of 9.7% From 2024-2032.