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市场调查报告书
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1856975

全球法律科技与合约管理人工智慧市场：未来预测（至2032年）－按组件、部署方式、组织规模、技术、应用和区域进行分析

AI in LegalTech and Contract Management Market Forecasts to 2032 - Global Analysis By Component (Solutions and Services), Deployment Mode (Cloud-Based and On-Premise), Organization Size, Technology, Application and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的数据，全球法律科技和合约管理人工智慧市场预计到 2025 年将达到 1,191 亿美元，到 2032 年将达到 8,955 亿美元，预测期内复合年增长率为 33.4%。

人工智慧（AI）在法律科技和合约管理领域的应用，是指利用先进的演算法、机器学习和自然语言处理技术，实现法律流程的自动化、简化和最佳化。在法律科技领域，人工智慧可以辅助法律研究、案例分析和预测分析，从而实现更快、更准确的决策。在合约管理领域，人工智慧工具能够起草、审查、分析和监控合同，即时识别风险、义务和合规问题。透过减少人工操作、最大限度地减少错误并提高效率，人工智慧使法律负责人能够专注于策略性工作，确保更完善的合约管治，并以经济高效的方式加速整体法律运作。

提高营运效率

律师事务所和企业法务部门正在部署人工智慧工具，以实现大量合约的文檔分类、条款提取和风险标记的自动化。自然语言处理和预测分析减少了人工审核和重复性工作所需的时间。人工智慧平台支援内部和麵向客户的合规性检查、实质审查和诉讼支援工作，并能快速回应。与案例资料库和法律本体的整合提高了上下文相关性和决策支援能力。这些功能正在改变法律服务的效率和成本结构。

资料隐私和安全问题

法律文件包含机密客户资讯、特权通讯和专有条款，因此需要严格的存取控制和加密。基于法律资料训练的人工智慧模型必须遵守相关司法管辖区的隐私权法和律师协会准则。对于跨国客户而言，云端基础的资料驻留和跨境传输风险备受关注。保守的法律团队内部对第三方工具和外部託管的抵触情绪阻碍了其采用。这些限制因素阻碍了公司和精品律师事务所的规模发展和信任建立。

人工智慧技术的进步

生成式人工智慧模型支援多语言和跨境合约的条款起草、谈判模拟和法律摘要。机器学习演算法能够侦测结构化和非结构化法律资料中的异常、不一致之处和风险。与企业资源规划和管治平台集成，可实现对整个合约工作流程的即时监控和审核追踪。法律科技Start-Ups和成熟企业正在推出模组化人工智慧工具，以满足不同业务领域和司法管辖区的要求。这些发展正在拓展人工智慧在法律运作和采购生态系统中的应用场景和普及程度。

对高品质数据的依赖

训练资料集必须具备上下文关联性，反映司法管辖区的细微差别、法律术语和不断演变的法律规范。标註不完善或有偏见的数据会导致对条款的误解、风险评估的缺陷以及合规性方面的漏洞。法律团队必须投入资源进行资料整理检验和持续的模型调优，以维持模型的效能和可信度。缺乏标准化的分类体係以及法律系统之间的互通性，使得跨平台整合变得复杂。这些挑战持续限制在复杂且高风险的法律环境中部署模型。

新冠疫情的影响：

疫情加速了人们对人工智慧驱动的法律科技的兴趣，远距办公和数位化合约在律师事务所和企业法务部门的普及推动了这一趋势。虚拟协作工具和云端基础合约平台成为管理合规义务和不可抗力条款的热门选择。人工智慧支援的电子取证和诉讼分析帮助法律团队应对与疫情相关的纠纷和监管变化。公共机构也开始采用人工智慧工具来审查政策和监督紧急采购。后疫情时代的策略已将法律科技视为营运韧性和数位转型的核心支柱。这些转变正在推动对人工智慧驱动的法律基础设施和管治进行长期投资。

预计在预测期内，机器学习和深度学习将成为最大的领域。

由于机器学习和深度学习在法律研究合约分析和文件分类自动化方面发挥基础性作用，预计在预测期内，该领域将占据最大的市场份额。平台利用监督学习和非监督学习从各种资料集中提取条款，并识别预测法律结果的模式。深度学习模型支援上下文标註，用于语义搜寻和全球法律系统中的多语言处理。诉讼支援、合规监控和合约智慧领域对可扩展人工智慧引擎的需求日益增长。这些能力正在推动该领域在法律自动化和决策支援平台中占据主导地位。

预计在预测期内，监管和合规领域将以最高的复合年增长率成长。

预计在预测期内，监管合规领域将实现最高成长率，因为法律团队将采用人工智慧工具来管理不断变化的义务，包括资料保护、金融服务和环境、社会及治理 (ESG) 义务。这些平台能够监控监管动态，标记不合规条款，并产生跨司法管辖区的审核报告。与风险和管治系统的整合支援主动合规和即时预警。医疗保健、金融、能源和公共部门合约对人工智慧驱动的合规工具的需求日益增长。这些趋势正在推动法律风险和监管智慧应用的整体成长。

占比最大的地区：

在预测期内，北美预计将占据最大的市场份额，这主要得益于对成熟法律基础设施技术的投资以及监管政策的日益明朗。美国和加拿大的公司正在采用人工智慧法律科技平台来支援诉讼、合约管理和合规工作流程。对自然语言处理（NLP）法律分析和云端原生架构的投资，为平台的扩充性和整合性提供了保障。大型律师事务所、新兴企业和学术机构正在推动创新和应用。监管机构透过沙盒计画和数位转型津贴来支持法律科技的发展。这些因素正在巩固北美在人工智慧法律实践领域的领先地位。

复合年增长率最高的地区：

在预测期内，亚太地区预计将呈现最高的复合年增长率，这主要得益于公共和私营部门在法律现代化、数位化合约和人工智慧政策改革方面的整合。印度、新加坡、澳洲和韩国等国家正在扩大其法律科技平台的规模，以推动司法现代化、公司管治和采购自动化。政府支持的计画为法律科技新创企业孵化和Start-Ups合规基础设施建设提供支援。当地企业推出多语言平台，以适应区域法律和法律规范。中小型律师事务所和公共机构对扩充性、低成本的人工智慧工具的需求日益增长。这些趋势正在推动整个亚太地区法律科技和合约智慧生态系统的发展。

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  • 公司简介
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    • 基于产品系列、地域覆盖和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第二章 引言

  • 概述
  • 相关利益者
  • 分析范围
  • 分析方法
    • 资料探勘
    • 数据分析
    • 数据检验
    • 分析方法
  • 分析材料
    • 原始研究资料
    • 二手研究资讯来源
    • 先决条件

第三章 市场趋势分析

  • 司机
  • 抑制因素
  • 市场机会
  • 威胁
  • 技术分析
  • 应用分析
  • 新兴市场
  • 新冠疫情的感染疾病

第四章 波特五力分析

  • 供应商的议价能力
  • 买方议价能力
  • 替代产品的威胁
  • 新参与企业的威胁
  • 公司间的竞争

5. 全球法律科技和合约管理人工智慧市场（按组件划分）

  • 解决方案
    • 合约生命週期管理（CLM）
    • 文件自动化和组装
    • 法律研究工具
    • 法律实务管理系统
    • IP管理平台
    • 法律分析引擎
  • 服务
    • 实施与集成
    • 培训支援
    • 咨询服务

6. 全球法律科技和人工智慧在合约管理领域的市场（按部署方式划分）

  • 云端基础的
  • 本地部署

7. 按组织规模分類的全球法律科技与人工智慧在合约管理领域的市场

  • 小型企业
  • 大公司

8. 全球法律科技和人工智慧在合约管理领域的市场（按技术划分）

  • 自然语言处理（NLP）
  • 机器学习/深度学习
  • 预测分析
  • 机器人流程自动化 (RPA)
  • 其他技术

9. 全球法律科技与人工智慧在合约管理领域的应用市场

  • 合约审查和製定
  • 电子讯息披露/诉讼支持
  • 监理合规
  • 法律研究与知识管理
  • 风险和诈骗侦测
  • 智慧财产权分析
  • 预测诉讼结果
  • 其他用途

第十章：全球法律科技与人工智慧在合约管理领域的市场（按地区划分）

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十一章：主要趋势

  • 合约、商业伙伴关係和合资企业
  • 企业合併（M&A）
  • 新产品发布
  • 业务拓展
  • 其他关键策略

第十二章：公司简介

  • Ironclad,
  • Icertis,
  • Evisort,
  • ContractPodAi,
  • Luminance,
  • Kira Systems,
  • LawGeex,
  • ThoughtRiver,
  • LinkSquares,
  • SirionLabs,
  • Agiloft,
  • Onit,
  • Juro,
  • LexCheck,
  • BlackBoiler
Product Code: SMRC31840

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

List of Tables

  • Table 1 Global AI in LegalTech and Contract Management Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global AI in LegalTech and Contract Management Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global AI in LegalTech and Contract Management Market Outlook, By Solutions (2024-2032) ($MN)
  • Table 4 Global AI in LegalTech and Contract Management Market Outlook, By Contract Lifecycle Management (CLM) (2024-2032) ($MN)
  • Table 5 Global AI in LegalTech and Contract Management Market Outlook, By Document Automation & Assembly (2024-2032) ($MN)
  • Table 6 Global AI in LegalTech and Contract Management Market Outlook, By Legal Research Tools (2024-2032) ($MN)
  • Table 7 Global AI in LegalTech and Contract Management Market Outlook, By Case & Practice Management Systems (2024-2032) ($MN)
  • Table 8 Global AI in LegalTech and Contract Management Market Outlook, By IP Management Platforms (2024-2032) ($MN)
  • Table 9 Global AI in LegalTech and Contract Management Market Outlook, By Legal Analytics Engines (2024-2032) ($MN)
  • Table 10 Global AI in LegalTech and Contract Management Market Outlook, By Services (2024-2032) ($MN)
  • Table 11 Global AI in LegalTech and Contract Management Market Outlook, By Implementation & Integration (2024-2032) ($MN)
  • Table 12 Global AI in LegalTech and Contract Management Market Outlook, By Training & Support (2024-2032) ($MN)
  • Table 13 Global AI in LegalTech and Contract Management Market Outlook, By Consulting Services (2024-2032) ($MN)
  • Table 14 Global AI in LegalTech and Contract Management Market Outlook, By Deployment Mode (2024-2032) ($MN)
  • Table 15 Global AI in LegalTech and Contract Management Market Outlook, By Cloud-Based (2024-2032) ($MN)
  • Table 16 Global AI in LegalTech and Contract Management Market Outlook, By On-Premise (2024-2032) ($MN)
  • Table 17 Global AI in LegalTech and Contract Management Market Outlook, By Organization Size (2024-2032) ($MN)
  • Table 18 Global AI in LegalTech and Contract Management Market Outlook, By Small & Medium Enterprises (SMEs) (2024-2032) ($MN)
  • Table 19 Global AI in LegalTech and Contract Management Market Outlook, By Large Enterprises (2024-2032) ($MN)
  • Table 20 Global AI in LegalTech and Contract Management Market Outlook, By Technology (2024-2032) ($MN)
  • Table 21 Global AI in LegalTech and Contract Management Market Outlook, By Natural Language Processing (NLP) (2024-2032) ($MN)
  • Table 22 Global AI in LegalTech and Contract Management Market Outlook, By Machine Learning & Deep Learning (2024-2032) ($MN)
  • Table 23 Global AI in LegalTech and Contract Management Market Outlook, By Predictive Analytics (2024-2032) ($MN)
  • Table 24 Global AI in LegalTech and Contract Management Market Outlook, By Robotic Process Automation (RPA) (2024-2032) ($MN)
  • Table 25 Global AI in LegalTech and Contract Management Market Outlook, By Other Technologies (2024-2032) ($MN)
  • Table 26 Global AI in LegalTech and Contract Management Market Outlook, By Application (2024-2032) ($MN)
  • Table 27 Global AI in LegalTech and Contract Management Market Outlook, By Contract Review & Drafting (2024-2032) ($MN)
  • Table 28 Global AI in LegalTech and Contract Management Market Outlook, By eDiscovery & Litigation Support (2024-2032) ($MN)
  • Table 29 Global AI in LegalTech and Contract Management Market Outlook, By Regulatory Compliance (2024-2032) ($MN)
  • Table 30 Global AI in LegalTech and Contract Management Market Outlook, By Legal Research & Knowledge Management (2024-2032) ($MN)
  • Table 31 Global AI in LegalTech and Contract Management Market Outlook, By Risk & Fraud Detection (2024-2032) ($MN)
  • Table 32 Global AI in LegalTech and Contract Management Market Outlook, By Intellectual Property Analysis (2024-2032) ($MN)
  • Table 33 Global AI in LegalTech and Contract Management Market Outlook, By Case Outcome Prediction (2024-2032) ($MN)
  • Table 34 Global AI in LegalTech and Contract Management Market Outlook, By Other Applications (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.