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1856975

全球法律科技與合約管理人工智慧市場：未來預測（至2032年）－按組件、部署方式、組織規模、技術、應用和區域進行分析

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個工作天內

價格

根據 Stratistics MRC 的數據，全球法律科技和合約管理人工智慧市場預計到 2025 年將達到 1,191 億美元，到 2032 年將達到 8,955 億美元，預測期內複合年成長率為 33.4%。

人工智慧（AI）在法律科技和合約管理領域的應用，是指利用先進的演算法、機器學習和自然語言處理技術，實現法律流程的自動化、簡化和最佳化。在法律科技領域，人工智慧可以輔助法律研究、案例分析和預測分析，從而實現更快、更準確的決策。在合約管理領域，人工智慧工具能夠起草、審查、分析和監控契約，即時識別風險、義務和合規問題。透過減少人工操作、最大限度地減少錯誤並提高效率，人工智慧使法律負責人能夠專注於策略性工作，確保更完善的合約管治，並以經濟高效的方式加速整體法律運作。

提高營運效率

律師事務所和企業法務部門正在部署人工智慧工具，以實現大量合約的文檔分類、條款提取和風險標記的自動化。自然語言處理和預測分析減少了人工審核和重複性工作所需的時間。人工智慧平台支援內部和麵向客戶的合規性檢查、實質審查和訴訟支援工作，並能快速回應。與案例資料庫和法律本體的整合提高了上下文相關性和決策支援能力。這些功能正在改變法律服務的效率和成本結構。

資料隱私和安全問題

法律文件包含機密客戶資訊、特權通訊和專有條款，因此需要嚴格的存取控制和加密。基於法律資料訓練的人工智慧模型必須遵守相關司法管轄區的隱私權法和律師協會準則。對於跨國客戶而言，雲端基礎的資料駐留和跨境傳輸風險備受關注。保守的法律團隊內部對第三方工具和外部託管的抵觸情緒阻礙了其採用。這些限制因素阻礙了公司和精品律師事務所的規模發展和信任建立。

人工智慧技術的進步

生成式人工智慧模型支援多語言和跨境合約的條款起草、談判模擬和法律摘要。機器學習演算法能夠偵測結構化和非結構化法律資料中的異常、不一致之處和風險。與企業資源規劃和管治平台整合，可實現對整個合約工作流程的即時監控和審核追蹤。法律科技Start-Ups和成熟企業正在推出模組化人工智慧工具，以滿足不同業務領域和司法管轄區的要求。這些發展正在拓展人工智慧在法律運作和採購生態系統中的應用場景和普及程度。

對高品質數據的依賴

訓練資料集必須具備上下文關聯性，反映司法管轄區的細微差別、法律術語和不斷演變的法律規範。標註不完善或有偏見的數據會導致對條款的誤解、風險評估的缺陷以及合規性方面的漏洞。法律團隊必須投入資源進行資料整理檢驗和持續的模型調優，以維持模型的效能和可信度。缺乏標準化的分類體係以及法律系統之間的互通性，使得跨平台整合變得複雜。這些挑戰持續限制在複雜且高風險的法律環境中部署模型。

新冠疫情的影響：

疫情加速了人們對人工智慧驅動的法律科技的興趣，遠距辦公和數位化合約在律師事務所和企業法務部門的普及推動了這一趨勢。虛擬協作工具和雲端基礎合約平台成為管理合規義務和不可抗力條款的熱門選擇。人工智慧支援的電子取證和訴訟分析幫助法律團隊應對與疫情相關的糾紛和監管變化。公共機構也開始採用人工智慧工具來審查政策和監督緊急採購。後疫情時代的策略已將法律科技視為營運韌性和數位轉型的核心支柱。這些轉變正在推動對人工智慧驅動的法律基礎設施和管治進行長期投資。

預計在預測期內，機器學習和深度學習將成為最大的領域。

由於機器學習和深度學習在法律研究合約分析和文件分類自動化方面發揮基礎性作用，預計在預測期內，該領域將佔據最大的市場佔有率。平台利用監督學習和非監督學習從各種資料集中提取條款，並識別預測法律結果的模式。深度學習模型支援上下文標註，用於語義搜尋和全球法律系統中的多語言處理。訴訟支援、合規監控和合約智慧領域對可擴展人工智慧引擎的需求日益成長。這些能力正在推動該領域在法律自動化和決策支援平台中佔據主導地位。

預計在預測期內，監管和合規領域將以最高的複合年成長率成長。

預計在預測期內，監管合規領域將實現最高成長率，因為法律團隊將採用人工智慧工具來管理不斷變化的義務，包括資料保護、金融服務和環境、社會及治理 (ESG) 義務。這些平台能夠監控監管動態，標記不合規條款，並產生跨司法管轄區的審核報告。與風險和管治系統的整合支援主動合規和即時預警。醫療保健、金融、能源和公共部門合約對人工智慧驅動的合規工具的需求日益成長。這些趨勢正在推動法律風險和監管智慧應用的整體成長。

佔比最大的地區：

在預測期內，北美預計將佔據最大的市場佔有率，這主要得益於對成熟法律基礎設施技術的投資以及監管政策的日益明朗。美國和加拿大的公司正在採用人工智慧法律科技平台來支援訴訟、合約管理和合規工作流程。對自然語言處理（NLP）法律分析和雲端原生架構的投資，為平台的擴充性和整合性提供了保障。大型律師事務所、新興企業和學術機構正在推動創新和應用。監管機構透過沙盒計畫和數位轉型津貼來支持法律科技的發展。這些因素正在鞏固北美在人工智慧法律實踐領域的領先地位。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率，這主要得益於公共和私營部門在法律現代化、數位化合約和人工智慧政策改革方面的整合。印度、新加坡、澳洲和韓國等國家正在擴大其法律科技平台的規模，以推動司法現代化、公司管治和採購自動化。政府支持的計畫為法律科技新創企業孵化和Start-Ups合規基礎設施建設提供支援。當地企業推出多語言平台，以適應區域法律和法律規範。中小型律師事務所和公共機構對擴充性、低成本的人工智慧工具的需求日益成長。這些趨勢正在推動整個亞太地區法律科技和合約智慧生態系統的發展。

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  • 公司簡介
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  • 區域分類
    • 根據客戶興趣對主要國家進行市場估算、預測和複合年成長率分析（註：基於可行性檢查）
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    • 基於產品系列、地域覆蓋和策略聯盟對主要企業基準化分析

目錄

第1章執行摘要

第2章 引言

  • 概述
  • 相關利益者
  • 分析範圍
  • 分析方法
    • 資料探勘
    • 數據分析
    • 數據檢驗
    • 分析方法
  • 分析材料
    • 原始研究資料
    • 二手研究資訊來源
    • 先決條件

第3章 市場趨勢分析

  • 促進要素
  • 抑制因素
  • 市場機遇
  • 威脅
  • 技術分析
  • 應用分析
  • 新興市場
  • 新冠疫情的感染疾病

第4章 波特五力分析

  • 供應商的議價能力
  • 買方議價能力
  • 替代產品的威脅
  • 新參與企業的威脅
  • 公司間的競爭

5. 全球法律科技和合約管理人工智慧市場（按組件分類）

  • 解決方案
    • 合約生命週期管理（CLM）
    • 文件自動化和組裝
    • 法律研究工具
    • 法律實務管理系統
    • IP管理平台
    • 法律分析引擎
  • 服務
    • 實施與整合
    • 培訓支援
    • 諮詢服務

6. 全球法律科技和人工智慧在合約管理領域的市場（按部署方式分類）

  • 雲端基礎的
  • 本地部署

7. 按組織規模分類的全球法律科技與人工智慧在合約管理領域的市場

  • 小型企業
  • 主要企業

8. 全球法律科技和人工智慧在合約管理領域的市場（按技術分類）

  • 自然語言處理（NLP）
  • 機器學習/深度學習
  • 預測分析
  • 機器人流程自動化 (RPA)
  • 其他技術

9. 全球法律科技與人工智慧在合約管理領域的應用市場

  • 合約審查和製定
  • 電子訊息披露/訴訟支持
  • 監理合規
  • 法律研究與知識管理
  • 風險和詐騙偵測
  • 智慧財產權分析
  • 預測訴訟結果
  • 其他用途

第10章：全球法律科技與人工智慧在合約管理領域的市場（按地區分類）

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第11章：主要趨勢

  • 合約、商業夥伴關係和合資企業
  • 企業合併（M&A）
  • 新產品發布
  • 業務拓展
  • 其他關鍵策略

第12章：公司簡介

  • 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.