查看购物车
  • Traditional Chinese
  • English
  • Japanese
  • Korean
封面
市场调查报告书
商品编码
2021748

2034年法律科技市场人工智慧预测：按组件、部署模式、组织规模、应用领域、最终用户和地区分類的全球分析

AI in Legal Technology Market Forecasts to 2034 - Global Analysis By Component (Solutions and Services), Deployment Mode, Organization Size, Application Area, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的数据，预计到 2026 年，全球法律科技领域的 AI 市场规模将达到 32 亿美元，并在预测期内以 24.0% 的复合年增长率增长，到 2034 年将达到 185 亿美元。

在法律科技领域，人工智慧利用机器学习和先进演算法来优化法律运作。这有助于律师、公司法务团队和司法机构审查合约、进行调查、管理电子取证、预测诉讼结果并确保合规性。透过自动化重复性任务，人工智慧提高了准确性、效率和速度，使法律专业人士能够专注于策略性和复杂的案件。这使得传统的法律实务转型为更聪明、以数据分析主导的工作流程。

降低法律成本的压力越来越大

传统的法律流程通常涉及耗时的人工文件审查和调查，导致客户费用高且案件处理延误。律师事务所和企业法务部门正越来越多地采用人工智慧工具来自动化执行合约审查、法律研究和文件创建等重复性任务。人工智慧可以将证据揭露和实质审查的时间缩短高达 80%，使律师能够专注于高价值的策略性工作。随着客户要求更透明的计费和更快的办案速度，这些成本节约和效率提升至关重要，迫使法律行业采用人工智慧主导的解决方案。

高昂的实施成本和整合挑战

部署先进的人工智慧平台需要对软体、硬体和云端基础设施进行大量前期投资。此外，许多律师事务所和法院仍然依赖过时的案件管理系统，这些系统缺乏与人工智慧无缝整合所需的应用程式介面（API）。客製化人工智慧模型以理解细微的法律术语和特定司法管辖区的法规，会进一步增加复杂性和成本。对于中小型律师事务所而言，这些成本可能构成障碍。资料迁移带来的风险、过渡期间工作流程可能中断以及持续的技术支援需求，都是阻碍人工智慧在法律行业普及的财务和营运障碍。

企业法务部门快速扩张

跨国公司会产生大量的合约、监管申报文件和内部政策，这些都需要持续监控。人工智慧为合约生命週期管理、合规性追踪和风险评估提供了可扩展的解决方案。此外，法律流程外包 (LPO) 服务供应商正在加速采用人工智慧，以便为客户提供更快、更有经济的证据揭露和文件审查服务。随着法务部门从被动应对转向主动出击，对预测分析和虚拟法律助理的需求激增。这为那些为企业法务职能提供专业化、特定领域人工智慧解决方案的供应商创造了盈利的商机。

资料隐私和安全问题

法律文件包含律师与客户之间高度机密的特权资讯、财务资料和商业机密。在基于云端的人工智慧平台上储存和处理此类资料会增加资料外洩、未授权存取或违反GDPR和HIPAA等资料保护法律的风险。此外，基于偏见的历史法律资料训练的人工智慧模型可能会产生歧视性或不准确的预测，使公司面临过失索赔和声誉损害的风险。深度学习模型缺乏透明度（即所谓的「黑箱」问题）使得在关键诉讼决策中难以检验其产出结果。如果没有强大的加密、审计追踪和符合伦理的人工智慧框架，在规避风险的法律环境中，人工智慧的应用将仍然受到限制。

新型冠状病毒（COVID-19）的影响：

新冠疫情期间，强制远距办公环境加速了法律领域的数位转型。法院关闭和旅行限制迫使律师事务所放弃纸本流程，转而采用基于云端的AI工具进行电子取证、虚拟合约谈判和远端法律研究。与营业中断保险、不可抗力条款和劳动法相关的诉讼激增，也增加了快速文件分析的需求。然而，公共法院和小规模律师事务所的预算削减延缓了部分AI投资。即使在疫情结束后，混合办公模式也逐渐普及，巩固了AI作为法律协作和自动化关键工具的地位。这场危机永久改变了法律科技投资的本质，使其从自愿性投资转变为关键性投资。

在预测期内，软体平台细分市场预计将占据最大份额。

在预测期内，软体平台领域预计将占据最大的市场份额。这一主导地位主要得益于文件审查工具、合约生命週期管理系统和法律调查平台的广泛应用。律师事务所和企业法务部门优先考虑能够直接自动化处理大量重复性任务（例如实质审查、诉讼支援和合规监控）的软体。这些平台透过减少计费时间和人为错误，能够即时带来投资回报。

在预测期内，基于云端的采用细分市场预计将呈现最高的复合年增长率。

在预测期内，基于云端的采用领域预计将呈现最高的成长率。云端解决方案使中小型律师事务所能够轻鬆使用人工智慧，因为它无需昂贵的本地硬件，减轻了IT维护负担，并提供灵活的订阅定价结构。此外，云端解决方案还支援法律团队之间无缝的远距协作，这在疫情推动的混合办公模式转型中变得至关重要。而且，云端平台还支援自动更新，能够随着案件数量的增加扩充性，并透过API与其他法律科技工具整合。

市占率最大的地区：

在整个预测期内，北美预计将保持最大的市场份额。这主要得益于高度数位化的法律产业、IBM和微软等领先人工智慧供应商的存在，以及电子取证和预测分析工具的早期应用。美国之所以引领市场，是因为拥有大量的律师事务所和企业法务部门，以及诉讼密集的环境。对法律科技Start-Ups的巨额投资和监管机构对数位转型的支持也进一步推动了市场成长。

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，这主要得益于中国、印度和新加坡法院的快速数位化、法学院数量的增加以及企业部门的扩张。各国政府正投资建构智慧法院系统和人工智慧驱动的案件管理系统，以减少司法积压。印度庞大的法律流程外包产业正在积极采用人工智慧技术，以实现更具成本效益的文件审查。随着外国直接投资的增加，对合约分析和监管合规工具的需求也在不断增长。

免费客製化服务：

所有购买此报告的客户均可享受以下免费自订选项之一：

  • 企业概况
    • 对其他市场参与者（最多 3 家公司）进行全面分析
    • 对主要企业进行SWOT分析（最多3家公司）
  • 区域划分
    • 应客户要求，我们提供主要国家和地区的市场估算和预测，以及复合年增长率（註：需进行可行性检查）。
  • 竞争性标竿分析
    • 根据产品系列、地理覆盖范围和策略联盟对主要企业进行基准分析。

目录

第一章执行摘要

  • 市场概览及主要亮点
  • 驱动因素、挑战与机会
  • 竞争格局概述
  • 战略洞察与建议

第二章：研究框架

  • 研究目标和范围
  • 相关人员分析
  • 研究假设和限制
  • 调查方法

第三章 市场动态与趋势分析

  • 市场定义与结构
  • 主要市场驱动因素
  • 市场限制与挑战
  • 投资成长机会和重点领域
  • 产业威胁与风险评估
  • 技术与创新展望
  • 新兴市场/高成长市场
  • 监管和政策环境
  • 新冠疫情的影响及復苏前景

第四章：竞争环境与策略评估

  • 波特五力分析
    • 供应商的议价能力
    • 买方的议价能力
    • 替代品的威胁
    • 新进入者的威胁
    • 竞争公司之间的竞争
  • 主要企业市占率分析
  • 产品基准评效和效能比较

第五章 全球法律科技市场：依组件划分

  • 软体平台
    • 文件审查和分析工具
    • 法律文件创建和自动化
    • 法律研究与预测分析
    • 电子取证和诉讼支持
    • 人工智慧驱动的合约生命週期管理（CLM）
  • 服务
    • 咨询和策略服务
    • 託管服务
    • 整合和配置服务
    • 培训和支援服务

第六章 全球法律科技市场：依部署模式划分

  • 现场
  • 基于云端的

第七章 全球法律科技市场：依组织规模划分

  • 大型律师事务所和公司
  • 中小型律师事务所（SMEs）
  • 公司法务部

第八章 全球法律科技市场：依应用领域划分

  • 法律调查及实质审查
  • 智慧财产管理
  • 合约审查与管理
  • 法律帐单/支出分析
  • 电子取证与诉讼分析
  • 虚拟法律助理
  • 自动产生法律文件
  • 合规与风险管理
  • 预测性法律分析

第九章 全球法律科技市场：依最终用户划分

  • 律师事务所
    • 大型律师事务所
    • 中小型律师事务所
  • 公司法务部
  • 法院和司法系统
  • 政府/公共部门
  • 法律流程外包（LPO）

第十章 全球法律科技市场：按地区划分

  • 北美洲
    • 我们
    • 加拿大
    • 墨西哥
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 义大利
    • 西班牙
    • 荷兰
    • 比利时
    • 瑞典
    • 瑞士
    • 波兰
    • 其他欧洲国家
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 韩国
    • 澳洲
    • 印尼
    • 泰国
    • 马来西亚
    • 新加坡
    • 越南
    • 其他亚太国家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥伦比亚
    • 智利
    • 秘鲁
    • 其他南美国家
  • 世界其他地区（RoW）
    • 中东
      • 沙乌地阿拉伯
      • 阿拉伯聯合大公国
      • 卡达
      • 以色列
      • 其他中东国家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲国家

第十一章 策略市场资讯

  • 工业价值网络和供应链评估
  • 空白区域和机会地图
  • 产品演进与市场生命週期分析
  • 通路、经销商和打入市场策略的评估

第十二章 产业趋势与策略倡议

  • 併购
  • 伙伴关係、联盟和合资企业
  • 新产品发布和认证
  • 扩大生产能力和投资
  • 其他策略倡议

第十三章：公司简介

  • Thomson Reuters
  • LexisNexis
  • OpenAI
  • Ironclad
  • DocuSign
  • Kira Systems
  • Everlaw
  • Relativity
  • Luminance
  • Lawgeex
  • Casetext
  • vLex/Fastcase
  • LegalZoom
  • Harvey AI
  • Spellbook
Product Code: SMRC35027

According to Stratistics MRC, the Global AI in Legal Technology Market is accounted for $3.2 billion in 2026 and is expected to reach $18.5 billion by 2034 growing at a CAGR of 24.0% during the forecast period. AI in Legal Technology involves leveraging machine learning and sophisticated algorithms to optimize legal operations. It aids lawyers, corporate legal teams, and judicial bodies in reviewing contracts, conducting research, managing e-discovery, predicting case outcomes, and ensuring compliance. By automating repetitive tasks, AI enhances accuracy, efficiency, and speed, allowing legal experts to concentrate on strategic and complex matters, thereby modernizing conventional legal practices into smarter, analytics-driven workflows.

Market Dynamics:

Driver:

Growing pressure to reduce legal costs

Traditional legal processes involve manual, time-consuming document reviews and research, leading to high client bills and slow case turnaround. Law firms and corporate legal departments are increasingly adopting AI-powered tools to automate repetitive tasks such as contract review, legal research, and document drafting. AI reduces the time spent on discovery and due diligence by up to 80%, enabling lawyers to focus on high-value strategic work. This cost reduction and efficiency gain are critical as clients demand more transparent billing and faster outcomes, compelling the legal industry to embrace AI-driven solutions.

Restraint:

High implementation costs and integration challenges

Deploying sophisticated AI platforms requires substantial upfront investment in software, hardware, and cloud infrastructure. Additionally, many law firms and courts still rely on outdated case management systems that lack APIs for seamless AI integration. Customizing AI models to understand nuanced legal terminology and jurisdiction-specific regulations adds further complexity and expense. For small and medium-sized law firms, these costs can be prohibitive. Data migration risks, potential workflow disruptions during transition, and the need for ongoing technical support create financial and operational barriers that slow down widespread AI adoption across the legal sector.

Opportunity:

The rapid expansion of corporate legal departments

Multinational corporations are generating massive volumes of contracts, regulatory filings, and internal policies that require continuous monitoring. AI offers a scalable solution for contract lifecycle management, compliance tracking, and risk assessment. Furthermore, LPO providers are increasingly adopting AI to deliver faster, cheaper discovery and document review services to their clients. As legal departments shift from reactive to proactive legal care, demand for predictive analytics and virtual legal assistants is surging. This creates lucrative opportunities for vendors offering specialized, domain-adapted AI solutions for corporate legal functions.

Threat:

Data privacy, security concerns

Legal documents contain highly sensitive client-attorney privileged information, financial data, and trade secrets. Storing and processing this data on cloud-based AI platforms raises risks of breaches, unauthorized access, or non-compliance with data protection laws like GDPR or HIPAA. Additionally, AI models trained on biased historical legal data may produce discriminatory or inaccurate predictions, exposing firms to malpractice claims and reputational damage. Lack of transparency in deep learning models (the "black box" problem) makes it difficult to verify outputs for critical litigation decisions. Without robust encryption, audit trails, and ethical AI frameworks, adoption in risk-averse legal environments will remain constrained.

Covid-19 Impact:

The COVID-19 pandemic accelerated digital transformation in the legal sector as remote work became mandatory. Court closures and travel restrictions forced law firms to abandon paper-based processes and adopt cloud-based AI tools for eDiscovery, virtual contract negotiations, and remote legal research. The surge in litigation related to business interruption insurance, force majeure clauses, and employment law increased demand for rapid document analysis. However, budget cuts in public courts and small legal practices delayed some AI investments. Post-pandemic, hybrid work models have persisted, solidifying AI as an essential tool for legal collaboration and automation. The crisis permanently shifted legal technology from discretionary to mission-critical investment.

The software platforms segment is expected to be the largest during the forecast period

The software platforms segment is expected to account for the largest market share during the forecast period. This dominance is driven by the widespread adoption of document review tools, contract lifecycle management systems, and legal research platforms. Law firms and corporate legal departments prioritize software that directly automates high-volume, repetitive tasks such as due diligence, litigation support, and compliance monitoring. These platforms offer immediate return on investment by reducing billable hours and human error.

The cloud-based deployment segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the cloud-based deployment segment is predicted to witness the highest growth rate. Cloud solutions eliminate expensive on-premise hardware, reduce IT maintenance burdens, and offer flexible subscription pricing, making AI accessible to small and medium-sized law firms. They enable seamless remote collaboration among legal teams, which is essential following the pandemic-induced shift to hybrid work models. Cloud platforms also facilitate automatic updates, scalability for growing caseloads, and integration with other legal tech tools via APIs.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, driven by a highly digitized legal sector, presence of major AI vendors like IBM and Microsoft, and early adoption of eDiscovery and predictive analytics tools. The United States leads due to its large number of law firms, corporate legal departments, and litigation-heavy environment. Substantial investments in legal technology startups and favorable regulatory support for digital transformation further boost growth.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, fueled by rapid digitization of courts, growing number of law schools, and expanding corporate sectors in China, India, and Singapore. Governments are investing in smart court systems and AI-driven case management to reduce judicial backlogs. India's vast legal process outsourcing industry is aggressively adopting AI for cost-efficient document review. Rising foreign direct investment is increasing demand for contract analysis and regulatory compliance tools.

Key players in the market

Some of the key players in AI in Legal Technology Market include Thomson Reuters, LexisNexis, OpenAI, Ironclad, DocuSign, Kira Systems, Everlaw, Relativity, Luminance, Lawgeex, Casetext, vLex / Fastcase, LegalZoom, Harvey AI, and Spellbook.

Key Developments:

In April 2026, Thomson Reuters announced the launch of a generative AI-powered assistant integrated into Westlaw Precision and Practical Law, enabling legal professionals to conduct complex legal research and draft memos using conversational prompts, significantly reducing research time.

In March 2026, Luminance Technologies unveiled an advanced AI module specifically designed for automated regulatory compliance monitoring across multinational corporations, capable of detecting and flagging deviations from updated GDPR, CCPA, and anti-money laundering regulations in real time.

Components Covered:

  • Software Platforms
  • Services

Deployment Modes Covered:

  • On-Premises
  • Cloud-Based

Organization Sizes Covered:

  • Large Law Firms & Enterprises
  • Small & Medium-Sized Law Firms (SMEs)
  • Corporate Legal Departments

Applications Covered:

  • Legal Research & Due Diligence
  • Intellectual Property (IP) Management
  • Contract Review & Management
  • Legal Billing & Spend Analytics
  • eDiscovery & Litigation Analytics
  • Virtual Legal Assistants
  • Legal Document Drafting & Automation
  • Compliance & Risk Management
  • Predictive Legal Analytics

End Users Covered:

  • Law Firms
  • Corporate Legal Departments
  • Courts & Judiciary Systems
  • Government & Public Sector
  • Legal Process Outsourcers (LPOs)

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 2023, 2024, 2025, 2026, 2027, 2028, 2029, 2030, 2032 and 2034
  • 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

  • 1.1 Market Snapshot and Key Highlights
  • 1.2 Growth Drivers, Challenges, and Opportunities
  • 1.3 Competitive Landscape Overview
  • 1.4 Strategic Insights and Recommendations

2 Research Framework

  • 2.1 Study Objectives and Scope
  • 2.2 Stakeholder Analysis
  • 2.3 Research Assumptions and Limitations
  • 2.4 Research Methodology
    • 2.4.1 Data Collection (Primary and Secondary)
    • 2.4.2 Data Modeling and Estimation Techniques
    • 2.4.3 Data Validation and Triangulation
    • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

  • 3.1 Market Definition and Structure
  • 3.2 Key Market Drivers
  • 3.3 Market Restraints and Challenges
  • 3.4 Growth Opportunities and Investment Hotspots
  • 3.5 Industry Threats and Risk Assessment
  • 3.6 Technology and Innovation Landscape
  • 3.7 Emerging and High-Growth Markets
  • 3.8 Regulatory and Policy Environment
  • 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

  • 4.1 Porter's Five Forces Analysis
    • 4.1.1 Supplier Bargaining Power
    • 4.1.2 Buyer Bargaining Power
    • 4.1.3 Threat of Substitutes
    • 4.1.4 Threat of New Entrants
    • 4.1.5 Competitive Rivalry
  • 4.2 Market Share Analysis of Key Players
  • 4.3 Product Benchmarking and Performance Comparison

5 Global AI in Legal Technology Market, By Component

  • 5.1 Software Platforms
    • 5.1.1 Document Review & Analysis Tools
    • 5.1.2 Legal Drafting & Automation
    • 5.1.3 Legal Research & Predictive Analytics
    • 5.1.4 eDiscovery & Litigation Support
    • 5.1.5 Contract Lifecycle Management (CLM) with AI
  • 5.2 Services
    • 5.2.1 Consulting & Strategy Services
    • 5.2.2 Managed Services
    • 5.2.3 Integration & Deployment Services
    • 5.2.4 Training & Support Services

6 Global AI in Legal Technology Market, By Deployment Mode

  • 6.1 On-Premises
  • 6.2 Cloud-Based

7 Global AI in Legal Technology Market, By Organization Size

  • 7.1 Large Law Firms & Enterprises
  • 7.2 Small & Medium-Sized Law Firms (SMEs)
  • 7.3 Corporate Legal Departments

8 Global AI in Legal Technology Market, By Application Area

  • 8.1 Legal Research & Due Diligence
  • 8.2 Intellectual Property (IP) Management
  • 8.3 Contract Review & Management
  • 8.4 Legal Billing & Spend Analytics
  • 8.5 eDiscovery & Litigation Analytics
  • 8.6 Virtual Legal Assistants
  • 8.7 Legal Document Drafting & Automation
  • 8.8 Compliance & Risk Management
  • 8.9 Predictive Legal Analytics

9 Global AI in Legal Technology Market, By End User

  • 9.1 Law Firms
    • 9.1.1 Large Law Firms
    • 9.1.2 SME Law Firms
  • 9.2 Corporate Legal Departments
  • 9.3 Courts & Judiciary Systems
  • 9.4 Government & Public Sector
  • 9.5 Legal Process Outsourcers (LPOs)

10 Global AI in Legal Technology Market, By Geography

  • 10.1 North America
    • 10.1.1 United States
    • 10.1.2 Canada
    • 10.1.3 Mexico
  • 10.2 Europe
    • 10.2.1 United Kingdom
    • 10.2.2 Germany
    • 10.2.3 France
    • 10.2.4 Italy
    • 10.2.5 Spain
    • 10.2.6 Netherlands
    • 10.2.7 Belgium
    • 10.2.8 Sweden
    • 10.2.9 Switzerland
    • 10.2.10 Poland
    • 10.2.11 Rest of Europe
  • 10.3 Asia Pacific
    • 10.3.1 China
    • 10.3.2 Japan
    • 10.3.3 India
    • 10.3.4 South Korea
    • 10.3.5 Australia
    • 10.3.6 Indonesia
    • 10.3.7 Thailand
    • 10.3.8 Malaysia
    • 10.3.9 Singapore
    • 10.3.10 Vietnam
    • 10.3.11 Rest of Asia Pacific
  • 10.4 South America
    • 10.4.1 Brazil
    • 10.4.2 Argentina
    • 10.4.3 Colombia
    • 10.4.4 Chile
    • 10.4.5 Peru
    • 10.4.6 Rest of South America
  • 10.5 Rest of the World (RoW)
    • 10.5.1 Middle East
      • 10.5.1.1 Saudi Arabia
      • 10.5.1.2 United Arab Emirates
      • 10.5.1.3 Qatar
      • 10.5.1.4 Israel
      • 10.5.1.5 Rest of Middle East
    • 10.5.2 Africa
      • 10.5.2.1 South Africa
      • 10.5.2.2 Egypt
      • 10.5.2.3 Morocco
      • 10.5.2.4 Rest of Africa

11 Strategic Market Intelligence

  • 11.1 Industry Value Network and Supply Chain Assessment
  • 11.2 White-Space and Opportunity Mapping
  • 11.3 Product Evolution and Market Life Cycle Analysis
  • 11.4 Channel, Distributor, and Go-to-Market Assessment

12 Industry Developments and Strategic Initiatives

  • 12.1 Mergers and Acquisitions
  • 12.2 Partnerships, Alliances, and Joint Ventures
  • 12.3 New Product Launches and Certifications
  • 12.4 Capacity Expansion and Investments
  • 12.5 Other Strategic Initiatives

13 Company Profiles

  • 13.1 Thomson Reuters
  • 13.2 LexisNexis
  • 13.3 OpenAI
  • 13.4 Ironclad
  • 13.5 DocuSign
  • 13.6 Kira Systems
  • 13.7 Everlaw
  • 13.8 Relativity
  • 13.9 Luminance
  • 13.10 Lawgeex
  • 13.11 Casetext
  • 13.12 vLex / Fastcase
  • 13.13 LegalZoom
  • 13.14 Harvey AI
  • 13.15 Spellbook

List of Tables

  • Table 1 Global AI in Legal Technology Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global AI in Legal Technology Market Outlook, By Component (2023-2034) ($MN)
  • Table 3 Global AI in Legal Technology Market Outlook, By Software Platforms (2023-2034) ($MN)
  • Table 4 Global AI in Legal Technology Market Outlook, By Document Review & Analysis Tools (2023-2034) ($MN)
  • Table 5 Global AI in Legal Technology Market Outlook, By Legal Drafting & Automation (2023-2034) ($MN)
  • Table 6 Global AI in Legal Technology Market Outlook, By Legal Research & Predictive Analytics (2023-2034) ($MN)
  • Table 7 Global AI in Legal Technology Market Outlook, By eDiscovery & Litigation Support (2023-2034) ($MN)
  • Table 8 Global AI in Legal Technology Market Outlook, By Contract Lifecycle Management (CLM) with AI (2023-2034) ($MN)
  • Table 9 Global AI in Legal Technology Market Outlook, By Services (2023-2034) ($MN)
  • Table 10 Global AI in Legal Technology Market Outlook, By Consulting & Strategy Services (2023-2034) ($MN)
  • Table 11 Global AI in Legal Technology Market Outlook, By Managed Services (2023-2034) ($MN)
  • Table 12 Global AI in Legal Technology Market Outlook, By Integration & Deployment Services (2023-2034) ($MN)
  • Table 13 Global AI in Legal Technology Market Outlook, By Training & Support Services (2023-2034) ($MN)
  • Table 14 Global AI in Legal Technology Market Outlook, By Deployment Mode (2023-2034) ($MN)
  • Table 15 Global AI in Legal Technology Market Outlook, By On-Premises (2023-2034) ($MN)
  • Table 16 Global AI in Legal Technology Market Outlook, By Cloud-Based (2023-2034) ($MN)
  • Table 17 Global AI in Legal Technology Market Outlook, By Organization Size (2023-2034) ($MN)
  • Table 18 Global AI in Legal Technology Market Outlook, By Large Law Firms & Enterprises (2023-2034) ($MN)
  • Table 19 Global AI in Legal Technology Market Outlook, By Small & Medium-Sized Law Firms (SMEs) (2023-2034) ($MN)
  • Table 20 Global AI in Legal Technology Market Outlook, By Corporate Legal Departments (2023-2034) ($MN)
  • Table 21 Global AI in Legal Technology Market Outlook, By Application Area (2023-2034) ($MN)
  • Table 22 Global AI in Legal Technology Market Outlook, By Legal Research & Due Diligence (2023-2034) ($MN)
  • Table 23 Global AI in Legal Technology Market Outlook, By Intellectual Property (IP) Management (2023-2034) ($MN)
  • Table 24 Global AI in Legal Technology Market Outlook, By Contract Review & Management (2023-2034) ($MN)
  • Table 25 Global AI in Legal Technology Market Outlook, By Legal Billing & Spend Analytics (2023-2034) ($MN)
  • Table 26 Global AI in Legal Technology Market Outlook, By eDiscovery & Litigation Analytics (2023-2034) ($MN)
  • Table 27 Global AI in Legal Technology Market Outlook, By Virtual Legal Assistants (2023-2034) ($MN)
  • Table 28 Global AI in Legal Technology Market Outlook, By Legal Document Drafting & Automation (2023-2034) ($MN)
  • Table 29 Global AI in Legal Technology Market Outlook, By Compliance & Risk Management (2023-2034) ($MN)
  • Table 30 Global AI in Legal Technology Market Outlook, By Predictive Legal Analytics (2023-2034) ($MN)
  • Table 31 Global AI in Legal Technology Market Outlook, By End User (2023-2034) ($MN)
  • Table 32 Global AI in Legal Technology Market Outlook, By Law Firms (2023-2034) ($MN)
  • Table 33 Global AI in Legal Technology Market Outlook, By Large Law Firms (2023-2034) ($MN)
  • Table 34 Global AI in Legal Technology Market Outlook, By SME Law Firms (2023-2034) ($MN)
  • Table 35 Global AI in Legal Technology Market Outlook, By Corporate Legal Departments (2023-2034) ($MN)
  • Table 36 Global AI in Legal Technology Market Outlook, By Courts & Judiciary Systems (2023-2034) ($MN)
  • Table 37 Global AI in Legal Technology Market Outlook, By Government & Public Sector (2023-2034) ($MN)
  • Table 38 Global AI in Legal Technology Market Outlook, By Legal Process Outsourcers (LPOs) (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) are also represented in the same manner as above.