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商品編碼

2021748

2034年法律科技市場人工智慧預測：按組件、部署模式、組織規模、應用領域、最終用戶和地區分類的全球分析

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: 2026年04月17日 | 出版商:

Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

簡介目錄圖表

根據 Stratistics MRC 的數據，預計到 2026 年，全球法律科技領域的 AI 市場規模將達到 32 億美元，並在預測期內以 24.0% 的複合年成長率成長，到 2034 年將達到 185 億美元。

在法律科技領域，人工智慧利用機器學習和先進演算法來最佳化法律運作。這有助於律師、公司法務團隊和司法機構審查合約、進行調查、管理電子取證、預測訴訟結果並確保合規性。透過自動化重複性任務，人工智慧提高了準確性、效率和速度，使法律專業人士能夠專注於策略性和複雜的案件。這使得傳統的法律實務轉型為更聰明、以數據分析主導的工作流程。

降低法律成本的壓力越來越大

傳統的法律流程通常涉及耗時的人工文件審查和調查，導致客戶費用高且案件處理延誤。律師事務所和企業法務部門正擴大採用人工智慧工具來自動化執行合約審查、法律研究和文件創建等重複性任務。人工智慧可以將證據揭露和實質審查的時間縮短高達 80%，使律師能夠專注於高價值的策略性工作。隨著客戶要求更透明的計費和更快的辦案速度，這些成本節約和效率提升至關重要，迫使法律行業採用人工智慧主導的解決方案。

高昂的實施成本和整合挑戰

部署先進的人工智慧平台需要對軟體、硬體和雲端基礎設施進行大量前期投資。此外，許多律師事務所和法院仍然依賴過時的案件管理系統，這些系統缺乏與人工智慧無縫整合所需的應用程式介面（API）。客製化人工智慧模型以理解細微的法律術語和特定司法管轄區的法規，會進一步增加複雜性和成本。對於中小型律師事務所而言，這些成本可能構成障礙。資料遷移帶來的風險、過渡期間工作流程可能中斷以及持續的技術支援需求，都是阻礙人工智慧在法律行業普及的財務和營運障礙。

企業法務部門快速擴張

跨國公司會產生大量的合約、監管申報文件和內部政策，這些都需要持續監控。人工智慧為合約生命週期管理、合規性追蹤和風險評估提供了可擴展的解決方案。此外，法律流程外包 (LPO) 服務供應商正在加速採用人工智慧，以便為客戶提供更快、更有經濟的證據揭露和文件審查服務。隨著法務部門從被動應對轉向主動出擊，對預測分析和虛擬法律助理的需求激增。這為那些為企業法務職能提供專業化、特定領域人工智慧解決方案的供應商創造了盈利的商機。

資料隱私和安全問題

法律文件包含律師與客戶之間高度機密的特權資訊、財務資料和商業機密。在基於雲端的人工智慧平台上儲存和處理此類資料會增加資料外洩、未授權存取或違反GDPR和HIPAA等資料保護法律的風險。此外，基於偏見的歷史法律資料訓練的人工智慧模型可能會產生歧視性或不準確的預測，使公司面臨過失索賠和聲譽損害的風險。深度學習模型缺乏透明度（即所謂的「黑箱」問題）使得在關鍵訴訟決策中難以檢驗其產出結果。如果沒有強大的加密、審計追蹤和符合倫理的人工智慧框架，在規避風險的法律環境中，人工智慧的應用將仍然受到限制。

新型冠狀病毒（COVID-19）的影響：

新冠疫情期間，強制遠距辦公環境加速了法律領域的數位轉型。法院關閉和旅行限制迫使律師事務所放棄紙本流程，轉而採用基於雲端的AI工具進行電子取證、虛擬合約談判和遠端法律研究。與營業中斷保險、不可抗力條款和勞動法相關的訴訟激增，也增加了快速文件分析的需求。然而，公共法院和小規模律師事務所的預算削減延緩了部分AI投資。即使在疫情結束後，混合辦公模式也逐漸普及，鞏固了AI作為法律協作和自動化關鍵工具的地位。這場危機永久改變了法律科技投資的本質，使其從自願性投資轉變為關鍵性投資。

在預測期內，軟體平台細分市場預計將佔據最大佔有率。

在預測期內，軟體平台領域預計將佔據最大的市場佔有率。這一主導地位主要得益於文件審查工具、合約生命週期管理系統和法律調查平台的廣泛應用。律師事務所和企業法務部門優先考慮能夠直接自動化處理大量重複性任務（例如實質審查、訴訟支援和合規監控）的軟體。這些平台透過減少計費時間和人為錯誤，能夠即時帶來投資回報。

在預測期內，基於雲端的採用細分市場預計將呈現最高的複合年成長率。

在預測期內，基於雲端的採用領域預計將呈現最高的成長率。雲端解決方案使中小型律師事務所能夠輕鬆使用人工智慧，因為它無需昂貴的本地硬體，減輕了IT維護負擔，並提供靈活的訂閱定價結構。此外，雲端解決方案還支援法律團隊之間無縫的遠距協作，這在疫情推動的混合辦公模式轉型中變得至關重要。而且，雲端平台還支援自動更新，能夠隨著案件數量的增加擴充性，並透過API與其他法律科技工具整合。

市佔率最大的地區：

在整個預測期內，北美預計將保持最大的市場佔有率。這主要得益於高度數位化的法律產業、IBM和微軟等領先人工智慧供應商的存在，以及電子取證和預測分析工具的早期應用。美國之所以引領市場，是因為擁有大量的律師事務所和企業法務部門，以及訴訟密集的環境。對法律科技Start-Ups的巨額投資和監管機構對數位轉型的支持也進一步推動了市場成長。

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，這主要得益於中國、印度和新加坡法院的快速數位化、法學院數量的增加以及企業部門的擴張。各國政府正投資建構智慧法院系統和人工智慧驅動的案件管理系統，以減少司法積壓。印度龐大的法律流程外包產業正在積極採用人工智慧技術，以實現更具成本效益的文件審查。隨著外國直接投資的增加，對合約分析和監管合規工具的需求也在不斷成長。

免費客製化服務：

所有購買此報告的客戶均可享受以下免費自訂選項之一：

企業概況
- 對其他市場參與者（最多 3 家公司）進行全面分析
- 對主要企業進行SWOT分析（最多3家公司）
區域分類
- 應客戶要求，我們提供主要國家和地區的市場估算和預測，以及複合年成長率（註：需進行可行性檢查）。
競爭性標竿分析
- 根據產品系列、地理覆蓋範圍和策略聯盟對主要企業進行基準分析。

北美洲
- 美國
- 加拿大
- 墨西哥
歐洲
- 英國
- 德國
- 法國
- 義大利
- 西班牙
- 荷蘭
- 比利時
- 瑞典
- 瑞士
- 波蘭
- 其他歐洲國家
亞太地區
- 中國
- 日本
- 印度
- 韓國
- 澳洲
- 印尼
- 泰國
- 馬來西亞
- 新加坡
- 越南
- 其他亞太國家
南美洲
- 巴西
- 阿根廷
- 哥倫比亞
- 智利
- 秘魯
- 其他南美國家
世界其他地區（RoW）
- 中東
  - 沙烏地阿拉伯
  - 阿拉伯聯合大公國
  - 卡達
  - 以色列
  - 其他中東國家
- 非洲
  - 南非
  - 埃及
  - 摩洛哥
  - 其他非洲國家

第11章策略市場資訊

工業價值網路和供應鏈評估
空白區域和機會地圖
產品演進與市場生命週期分析
通路、經銷商和打入市場策略的評估

第12章產業趨勢與策略舉措

併購
夥伴關係、聯盟和合資企業
新產品發布和認證
擴大生產能力和投資
其他策略舉措

第13章：公司簡介

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

簡介目錄圖表

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

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

簡介目錄圖表

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)