세계의 리걸테크 및 계약 관리용 AI 시장 : 장래 예측 - 컴포넌트별, 전개 모드별, 조직 규모별, 기술별, 용도별, 지역별 분석(-2032년)

According to Stratistics MRC, the Global AI in LegalTech and Contract Management Market is accounted for $119.1 billion in 2025 and is expected to reach $895.5 billion by 2032 growing at a CAGR of 33.4% during the forecast period. Artificial Intelligence (AI) in LegalTech and Contract Management refers to the use of advanced algorithms, machine learning, and natural language processing to automate, streamline, and enhance legal processes. In LegalTech, AI assists with legal research, case analysis, and predictive analytics, enabling faster, more accurate decision-making. In contract management, AI tools can draft, review, analyze, and monitor contracts, identifying risks, obligations, and compliance issues in real time. By reducing manual effort, minimizing errors, and improving efficiency, AI empowers legal professionals to focus on strategic work, ensures better contract governance, and accelerates overall legal operations in a cost-effective manner.

Market Dynamics:

Driver:

Enhanced operational efficiency

Law firms and corporate legal departments deploy AI tools to automate document classification clause extraction and risk flagging across high-volume contracts. Time spent on manual review and repetitive tasks is reduced through natural language processing and predictive analytics. AI platforms support faster turnaround on compliance checks due diligence and litigation support across internal and client-facing operations. Integration with case law databases and legal ontologies improves contextual relevance and decision support. These capabilities are transforming productivity and cost structures across legal service delivery.

Restraint:

Data privacy and security concerns

Legal documents contain confidential client information privileged communications and proprietary clauses that require strict access control and encryption. AI models trained on legal data must comply with jurisdictional privacy laws and bar association guidelines. Cloud-based platforms face scrutiny over data residency and cross-border transfer risks across multinational clients. Internal resistance to third-party tools and external hosting slows adoption across conservative legal teams. These constraints continue to hinder scalability and trust across enterprise and boutique law practices.

Opportunity:

Advancements in AI technologies

Generative AI models support clause drafting negotiation simulation and legal summarization across multilingual and cross-border agreements. Machine learning algorithms detect anomalies inconsistencies and risk exposure across structured and unstructured legal data. Integration with enterprise resource planning and governance platforms enables real-time monitoring and audit trails across contract workflows. LegalTech startups and incumbents are launching modular AI tools tailored to practice areas and jurisdictional requirements. These developments are expanding use cases and adoption across legal operations and procurement ecosystems.

Threat:

Dependence on high-quality data

Training datasets must reflect jurisdictional nuances legal terminology and evolving regulatory frameworks to ensure contextual relevance. Poorly annotated or biased data can lead to incorrect clause interpretation flawed risk assessments and compliance gaps. Legal teams must invest in data curation validation and continuous model tuning to maintain performance and trust. Lack of standardized taxonomies and interoperability across legal systems complicates cross-platform integration. These challenges continue to constrain deployment across complex and high-stakes legal environments.

Covid-19 Impact:

The pandemic accelerated interest in AI-powered LegalTech as remote work and digital contracting surged across law firms and corporate legal departments. Virtual collaboration tools and cloud-based contract platforms gained traction for managing compliance obligations and force majeure clauses. AI-supported e-discovery and litigation analytics helped legal teams navigate pandemic-related disputes and regulatory changes. Public sector agencies adopted AI tools for policy review and emergency procurement oversight. Post-pandemic strategies now include LegalTech as a core pillar of operational resilience and digital transformation. These shifts are driving long-term investment in AI-enabled legal infrastructure and governance.

The machine learning & deep learning segment is expected to be the largest during the forecast period

The machine learning & deep learning segment is expected to account for the largest market share during the forecast period due to their foundational role in automating legal research contract analytics and document classification. Platforms use supervised and unsupervised learning to identify patterns extract clauses and predict legal outcomes across diverse datasets. Deep learning models support semantic search contextual tagging and multilingual processing across global legal systems. Demand for scalable AI engines is rising across litigation support compliance monitoring and contract intelligence. These capabilities are driving segment dominance across legal automation and decision support platforms.

The regulatory compliance segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the regulatory compliance segment is predicted to witness the highest growth rate as legal teams adopt AI tools to manage evolving obligations across data protection financial services and ESG mandates. Platforms monitor regulatory updates flag non-compliant clauses and generate audit-ready reports across jurisdictions. Integration with risk management and governance systems supports proactive compliance and real-time alerts. Demand for AI-driven compliance tools is rising across healthcare finance energy and public sector contracts. These dynamics are accelerating growth across legal risk and regulatory intelligence applications.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share due to its mature legal infrastructure technology investment and regulatory clarity. U.S. and Canadian firms deploy AI LegalTech platforms across litigation support contract management and compliance workflows. Investment in NLP legal analytics and cloud-native architecture supports platform scalability and integration. Presence of leading law firms legal startups and academic institutions drives innovation and adoption. Regulatory bodies support LegalTech through sandbox programs and digital transformation grants. These factors are reinforcing North America's leadership in AI-powered legal operations.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR as legal modernization digital contracting and AI policy reform converge across public and private sectors. Countries like India Singapore Australia and South Korea scale LegalTech platforms across judiciary modernization corporate governance and procurement automation. Government-backed programs support legal digitization startup incubation and cross-border compliance infrastructure. Local firms launch multilingual platforms tailored to regional legal systems and regulatory frameworks. Demand for scalable low-cost AI tools rises across SMEs law firms and public agencies. These trends are accelerating regional growth across LegalTech and contract intelligence ecosystems.

Key players in the market

Some of the key players in AI in LegalTech and Contract Management Market include Ironclad, Icertis, Evisort, ContractPodAi, Luminance, Kira Systems, LawGeex, ThoughtRiver, LinkSquares, SirionLabs, Agiloft, Onit, Juro, LexCheck and BlackBoiler.

Key Developments:

In September 2025, Icertis entered a strategic partnership with Thomson Reuters and Accenture to deliver AI-powered contract intelligence for connected business operations. The collaboration integrates Icertis' contract data with Thomson Reuters' legal content and Accenture's transformation services, enabling enterprises to automate legal workflows, improve compliance, and unlock commercial value from contracts.

In August 2025, Ironclad announced a strategic partnership with Harvey, a legal AI firm specializing in domain-specific reasoning. This collaboration integrates Harvey's legal insights into Ironclad's contract lifecycle workflows, enabling mutual customers to automate regulatory impact analysis and accelerate legal decision-making. The partnership enhances Ironclad's AI capabilities for enterprise legal teams.

Components Covered:

• Solutions
• Services

Deployment Modes Covered:

• Cloud-Based
• On-Premise

Organization Sizes Covered:

• Small & Medium Enterprises (SMEs)
• Large Enterprises

Technologies Covered:

• Natural Language Processing (NLP)
• Machine Learning & Deep Learning
• Predictive Analytics
• Robotic Process Automation (RPA)
• Other Technologies

Applications Covered:

• Contract Review & Drafting
• eDiscovery & Litigation Support
• Regulatory Compliance
• Legal Research & Knowledge Management
• Risk & Fraud Detection
• Intellectual Property Analysis
• Case Outcome Prediction
• Other Applications

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 Technology Analysis
• 3.7 Application 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 AI in LegalTech and Contract Management Market, By Component

• 5.1 Introduction
• 5.2 Solutions
  • 5.2.1 Contract Lifecycle Management (CLM)
  • 5.2.2 Document Automation & Assembly
  • 5.2.3 Legal Research Tools
  • 5.2.4 Case & Practice Management Systems
  • 5.2.5 IP Management Platforms
  • 5.2.6 Legal Analytics Engines
• 5.3 Services
  • 5.3.1 Implementation & Integration
  • 5.3.2 Training & Support
  • 5.3.3 Consulting Services

6 Global AI in LegalTech and Contract Management Market, By Deployment Mode

• 6.1 Introduction
• 6.2 Cloud-Based
• 6.3 On-Premise

7 Global AI in LegalTech and Contract Management Market, By Organization Size

• 7.1 Introduction
• 7.2 Small & Medium Enterprises (SMEs)
• 7.3 Large Enterprises

8 Global AI in LegalTech and Contract Management Market, By Technology

• 8.1 Introduction
• 8.2 Natural Language Processing (NLP)
• 8.3 Machine Learning & Deep Learning
• 8.4 Predictive Analytics
• 8.5 Robotic Process Automation (RPA)
• 8.6 Other Technologies

9 Global AI in LegalTech and Contract Management Market, By Application

• 9.1 Introduction
• 9.2 ontract Review & Drafting
• 9.3 eDiscovery & Litigation Support
• 9.4 Regulatory Compliance
• 9.5 Legal Research & Knowledge Management
• 9.6 Risk & Fraud Detection
• 9.7 Intellectual Property Analysis
• 9.8 Case Outcome Prediction
• 9.9 Other Applications

10 Global AI in LegalTech and Contract Management 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 Ironclad,
• 12.2 Icertis,
• 12.3 Evisort,
• 12.4 ContractPodAi,
• 12.5 Luminance,
• 12.6 Kira Systems,
• 12.7 LawGeex,
• 12.8 ThoughtRiver,
• 12.9 LinkSquares,
• 12.10 SirionLabs,
• 12.11 Agiloft,
• 12.12 Onit,
• 12.13 Juro,
• 12.14 LexCheck,
• 12.15 BlackBoiler