세계의 법무 AI 소프트웨어 시장 예측(-2030년) : 오퍼링별, 용도별, 기술별, 최종사용자별, 지역별
Legal AI Software Market by Offering (Legal AI Platforms, Generative AI Agents, Legal Drafting Tools, Report Generation Tools), Application (Ediscovery, Legal Research & Analytics, Contract Drafting & Review, IP Management) - Global Forecast to 2030
상품코드:1668766
리서치사:MarketsandMarkets
발행일:2025년 02월
페이지 정보:영문 345 Pages
라이선스 & 가격 (부가세 별도)
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한글목차
법무 AI 소프트웨어 시장 규모는 2025년 31억 1,000만 달러에서 2030년에는 108억 2,000만 달러로 성장하며, 예측 기간 중 CAGR은 28.3%에 달할 것으로 예측됩니다.
시장을 촉진하는 것은 계약서 작성과 리뷰을 위한 생성형 AI, AI를 활용한 e디스커버리와 소송 지원, AI를 활용한 가상·법률·어시스턴트의 부상과 같은 주요 진보입니다. 이러한 기술 혁신은 계약 관리 자동화, 법률 조사 간소화, 소송 전략 강화를 지원하여 법률 프로세스를 보다 신속하고 효율적으로 만듭니다. 그러나 전통적인 법률가들의 저항, AI를 활용한 법적 의사결정의 표준화 부족, 법적 프로세스에서 AI의 역할에 대한 윤리적 우려 등으로 인해 시장 성장이 제한되고 있습니다. 또한 AI의 정확성에 회의적인 변호사들은 AI의 정확성에 회의적이며, 일자리를 빼앗길 것을 우려하고 있습니다. 한편, 표준화된 AI 규제가 없기 때문에 법적 해석에 불확실성이 발생하고 있습니다.
조사 범위
조사 대상연도
2020-2030년
기준연도
2024
예측 기간
2025-2030년
검토 단위
달러(억 달러)
부문
오퍼링별, 용도별, 기술별, 최종사용자별, 지역별
대상 지역
북미, 유럽, 아시아태평양, 중동 및 아프리카, 라틴아메리카
BFSI 부문은 규제의 복잡성과 효율적인 컴플라이언스 관리의 필요성으로 인해, 특히 기업 법무 부문 내에서 법률 AI 소프트웨어 시장에서 가장 큰 시장 점유율을 차지할 것으로 예상됩니다. 은행, 금융기관, 보험사는 방대한 양의 법률 문서, 계약서, 규제 당국에 제출하는 서류를 다루고 있으며, 계약 분석, 위험 평가, 부정행위 감지 자동화에 AI를 활용한 솔루션이 필수적이며, AI를 활용한 법무 툴은 BFSI 기업이 AML(자금세탁방지), KYC(Know Your Customer), AML(Anti-Money Laundering), KYC(Know Your Customer)(AML), KYC(Know Your Customer), GDPR(EU 개인정보보호규정) 등 금융 규제의 진화에 빠르게 대응하고, 법무 리스크를 줄여 컴플라이언스를 확보할 수 있도록 돕습니다. 또한 BFSI 분야에서는 소송 및 분쟁 해결이 대량으로 발생하므로 법적 워크플로우를 간소화하기 위한 AI를 활용한 e디스커버리 및 사례 관리 툴이 필요합니다.
생성형 AI 부문은 복잡한 법률 업무의 자동화, 조사 효율성 향상, 고품질 법률 문서 생성 등의 기능으로 인해 법률 AI 소프트웨어 시장에서 가장 빠른 CAGR로 성장할 것으로 예상됩니다. 로펌과 기업의 법무 부서는 계약서 작성, 사례 분석, 규제 준수를 간소화하고 시간과 비용을 절감하기 위해 생성형 AI를 점점 더 많이 도입하고 있으며, GPT 기반 AI와 같은 대규모 언어 모델(LLM)의 등장은 판례와 법률 해석에 대한 빠른 접근을 제공함으로써 법률 조사에 혁명을 일으키고 있습니다. 혁명을 가져오고 있습니다. 또한 생성형 AI는 전자증거개시 및 예측 분석을 개선하고 법률 전문가가 데이터베이스 의사결정을 내릴 수 있도록 지원합니다. 법률 워크플로우의 AI 기반 자동화에 대한 수요가 증가함에 따라 BFSI, 헬스케어 및 기술 부문은 법률 리스크 평가 및 컴플라이언스 추적을 위해 생성형 AI에 많은 투자를 하고 있습니다.
세계의 법무 AI 소프트웨어 시장에 대해 조사했으며, 오퍼링별, 용도별, 기술별, 최종사용자별, 지역별 동향 및 시장에 참여하는 기업의 개요 등을 정리하여 전해드립니다.
목차
제1장 서론
제2장 조사 방법
제3장 개요
제4장 주요 인사이트
제5장 시장 개요와 업계 동향
서론
시장 역학
진화
에코시스템 분석
공급망 분석
투자와 자금조달 시나리오
생성형 AI가 법률 AI 소프트웨어 시장에 미치는 영향
사례 연구 분석
테크놀러지 분석
규제 상황
특허 분석
가격 분석
2025-2026년의 주요 컨퍼런스와 이벤트
Porter's Five Forces 분석
주요 이해관계자와 구입 기준
고객 비즈니스에 영향을 미치는 동향/혼란
제6장 법무 AI 소프트웨어 시장, 오퍼링별
서론
소프트웨어
서비스
제7장 법무 AI 소프트웨어 시장, 용도별
서론
법률 조사와 분석
계약서 작성과 리뷰
전자 증거 개시
소송 및 분쟁해결
컴플라이언스와 리스크 관리
IP 관리
전자 청구
기타
제8장 법무 AI 소프트웨어 시장, 기술별
서론
자연언어처리
기계학습
컴퓨터 비전
생성형 AI
제9장 법무 AI 소프트웨어 시장, 최종사용자별
서론
기업 법무부문
정부 및 법집행기관
법과 대학원
비영리 법률 원조
법률 사무소
제10장 법무 AI 소프트웨어 시장, 지역별
서론
북미
북미 : 법무 AI 소프트웨어 시장 성장 촉진요인
북미 : 거시경제 전망
미국
캐나다
유럽
유럽 : 법무 AI 소프트웨어 시장 성장 촉진요인
유럽 : 거시경제 전망
영국
독일
프랑스
이탈리아
스페인
네덜란드
기타
아시아태평양
아시아태평양 : 법무 AI 소프트웨어 시장 성장 촉진요인
아시아태평양 : 거시경제 전망
중국
일본
인도
한국
호주
싱가포르
기타
중동 및 아프리카
중동 및 아프리카 : 법무 AI 소프트웨어 시장 성장 촉진요인
중동 및 아프리카 : 거시경제 전망
중동
아프리카
라틴아메리카
라틴아메리카 : 법무 AI 소프트웨어 시장 성장 촉진요인
라틴아메리카 : 거시경제 전망
브라질
멕시코
아르헨티나
기타
제11장 경쟁 구도
개요
주요 참여 기업의 전략/강점, 2022-2024년
매출 분석, 2020-2024년
시장 점유율 분석, 2024년
제품 비교
기업 가치 평가와 재무 지표
기업 평가 매트릭스 : 주요 참여 기업, 2024년
기업 평가 매트릭스 : 스타트업/중소기업, 2024년
경쟁 시나리오
제12장 기업 개요
서론
주요 참여 기업
MICROSOFT
IBM
LEXISNEXIS
THOMSON REUTERS
AWS
EVERLAW
LITERA
CS DISCO
RELATIVITY
WOLTERS KLUWER
NETDOCUMENTS
DONOTPAY
LUMINANCE
ICERTIS
CLIO
ROBIN AI
CONSILIO
LINKSQUARES
SIRION
IRONCLAD
CONTRACTPODAI
EVENUP
KNOVOS
스타트업/중소기업
NEOTA
JURO
POCKETLAW
SPELLBOOK
BLUEJ
LEGALSIFTER
LAWGEEX
ROSS INTELLIGENCE
VLEX
GENIE AI
HARVEY
DARROW
LEYA
EBREVIA
LAWGPT
LEGALMATION
LAWPRO.AI
LEGALFLY
제13장 인접 시장과 관련 시장
제14장 부록
KSA
영문 목차
영문목차
The Legal AI software market is projected to grow from USD 3.11 billion in 2025 to USD 10.82 billion by 2030, at a compound annual growth rate (CAGR) of 28.3% during the forecast period. The market is driven by key advancements in Generative AI for contract drafting and review, AI-powered e-discovery and litigation support, and the rise of AI-driven virtual legal assistants. These innovations help automate contract management, streamline legal research, and enhance litigation strategies, making legal processes faster and more efficient. However, market growth faces restrains due to resistance from traditional legal practitioners, lack of standardization in AI-powered legal decision-making, and ethical concerns over AI's role in legal processes. Also, several lawyers are skeptical about AI's accuracy and worry about job displacement, while the absence of standardized AI regulations creates uncertainty in legal interpretations.
Scope of the Report
Years Considered for the Study
2020-2030
Base Year
2024
Forecast Period
2025-2030
Units Considered
USD (Billion)
Segments
Offering, Technology, Application, End User, and Region
Regions covered
North America, Europe, Asia Pacific, Middle East & Africa, and Latin America
"BFSI sector to Hold Largest Market Share During Forecast Period"
The BFSI sector is expected to hold largest market share in the legal AI software market, particularly within corporate legal departments, due to increasing regulatory complexities and the need for efficient compliance management. Banks, financial institutions, and insurance companies deal with vast amounts of legal documentation, contracts, and regulatory filings, making AI-powered solutions essential for automating contract analysis, risk assessment, and fraud detection. AI-driven legal tools help BFSI firms quickly adapt to evolving financial regulations, such as AML (Anti-Money Laundering), KYC (Know Your Customer), and GDPR, reducing legal risks and ensuring compliance. Additionally, the high volume of litigation and dispute resolution in the BFSI sector necessitates AI-powered e-discovery and case management tools to streamline legal workflows.
"Generative AI Software to Have Highest CAGR During Forecast Period"
The Generative AI segment is expected to grow at the fastest CAGR in the Legal AI Software Market, driven by its ability to automate complex legal tasks, enhance research efficiency, and generate high-quality legal documents. Law firms and corporate legal departments are increasingly adopting Generative AI to streamline contract drafting, case analysis, and regulatory compliance while reducing time and costs. The rise of large language models (LLMs), such as GPT-based AI, is revolutionizing legal research by providing faster access to case precedents and legal interpretations. Additionally, Generative AI improves e-discovery and predictive analytics, allowing legal professionals to make data-driven decisions. With growing demand for AI-driven automation in legal workflows, BFSI, healthcare, and technology sectors are heavily investing in Generative AI for legal risk assessment and compliance tracking.
"Asia Pacific's rapid legal AI software market growth fueled by innovation and emerging technologies, while North America leads in market size"
The Asia Pacific region is expected to grow at the fastest CAGR in the legal AI software market, while North America is projected to hold the largest market share. Asia Pacific's growth is driven by rapid digital transformation, increasing legal complexities, and rising adoption of AI-driven legal solutions in countries like China, India, Japan, and South Korea. Businesses and law firms in the region are investing heavily in AI-powered tools for contract management, compliance tracking, and regulatory analysis, especially in sectors like BFSI, healthcare, and manufacturing. The region's evolving regulatory landscape, with laws like India's Digital Personal Data Protection Act (DPDPA) and China's Personal Information Protection Law (PIPL), is further boosting AI adoption. Meanwhile, North America dominates the market due to early AI adoption, strong legal tech presence, and high investment in legal automation. The United States, in particular, is home to major law firms and AI-driven startups leveraging AI for contract analysis, e-discovery, and compliance. With a complex regulatory framework that includes GDPR (for international compliance), CCPA, and SEC/FTC guidelines, legal teams in North America are rapidly integrating AI solutions for risk management and legal automation, maintaining the region's lead in market share.
Breakdown of primaries
In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the Legal AI software market.
By Company: Tier I - 21%, Tier II - 45%, and Tier III - 34%
By Designation: C-Level Executives - 51%, D-Level Executives - 34%, and others - 15%
By Region: North America - 44%, Europe - 27%, Asia Pacific - 19%, Middle East & Africa - 4%, and Latin America - 6%
The report includes the study of key players offering legal AI software market. It profiles major vendors in the Legal AI software market. The major players in the legal AI software market include Microsoft (US), IBM (US), LexisNexis (US), Thomson Reuters (US), AWS (US), Everlaw (US), Litera (US), CS DISCO (US), Relativity (US), Wolters Kluwer (Netherlands), NetDocuments (US), DoNotPay (US), Luminance (UK), Icertis (US), Clio (US), Robin AI (UK), Consilio (US), LinkSquares (US), Sirion (US), Ironclad (US), ContractPodAi (UK), EvenUp(US), Knovos (US), Neota (US), Juro (UK), Pocketlaw (Sweden), Spellbook (US), BlueJ (UK), LegalSifter (US), Lawgeex (US), ROSS Intelligence (US), Vlex (US), Genie AI (UK), Harvey (US), Darrow (US), Leya (Sweden), eBrevia (US), Law GPT (US), LegalMation (US), LawPro.ai (US) and LegalFly (Belgium).
Research coverage
This research report categorizes the legal AI software market by offering, technology, application, and end user. The offering segment is split into software and services. The software segment contains generative AI software, and other AI software. Generative AI-based software includes generative AI agents, generative AI chatbots, legal drafting tools, report generation tools, client communication & support tools, and knowledge management tools. Other AI based software includes legal AI platforms, AI assistants, conversational AI chatbots, contract intelligence tools, legal workflow automation software, and others (litigation analytics tools, and IP monetization software). The software segment is also bifurcated by deployment mode, which includes cloud-based software and on-premises software. Legal AI services include professional services and managed services. The technology segment includes natural language processing (NLP), machine learning, computer vision, and generative AI. The application segment is split into legal research & analytics, contract drafting & review, e-discovery, litigation & dispute resolution, compliance & risk management, IP management, e-billing, and other applications (attorney marketing, criminal justice, and mergers & acquisitions). The end user segment includes corporate legal departments, government & law enforcement agencies, law schools, non-profit legal aid, and law firms. Corporate legal departments are further split into BFSI (banking, financial services & insurance), healthcare & life sciences, manufacturing, IT & telecom, energy & utilities, transportation & logistics, real estate & construction, and other verticals (education, retail & ecommerce, and media & entertainment). Law firms are further segmented into transactional law firms, boutique law firms, private equity & venture capital law firms, and commercial law firms. The scope of the report covers detailed information regarding the major factors, such as drivers, restraints, challenges, and opportunities, influencing the growth of the legal AI software market. A detailed analysis of the key industry players has been done to provide insights into their business overview, solutions, and services; key strategies; contracts, partnerships, agreements, new product & service launches, mergers and acquisitions, and recent developments associated with the legal AI software market. Competitive analysis of upcoming startups in the Legal AI software market ecosystem is covered in this report.
Key Benefits of Buying the Report
The report would provide the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall legal AI software market and its subsegments. It would help stakeholders understand the competitive landscape and gain more insights better to position their business and plan suitable go-to-market strategies. It also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.
The report provides insights on the following pointers:
Analysis of key drivers (Significant increase in eDiscovery requirements, Surge in NLP adoption in legal operations, Government support for judicial efficiency and Proliferation of AI-driven knowledge management systems), restraints (Ethical concerns over AI decision-making and Lack of skilled AI talent in legal sector), opportunities (Emergence of virtual hearings and online dispute resolution, Use of real-time sentiment analysis in courtrooms and Expansion of AI-driven arbitration platforms), and challenges (Adapting AI to non-standardized legal processes and Standardizing AI for litigation-specific applications).
Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the legal AI software market.
Market Development: Comprehensive information about lucrative markets - the report analyses the legal AI software market across varied regions.
Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the legal AI software market.
Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading players like Microsoft (US), IBM (US), LexisNexis (US), Thomson Reuters (US), AWS (US), Everlaw (US), Litera (US), CS DISCO (US), Relativity (US), Wolters Kluwer (Netherlands), NetDocuments (US), DoNotPay (US), Luminance (UK), Icertis (US), Clio (US), Robin AI (UK), Consilio (US), LinkSquares (US), Sirion (US), Ironclad (US), ContractPodAi (UK), EvenUp(US), Knovos (US), Neota (US), Juro (UK), Pocketlaw (Sweden), Spellbook (US), BlueJ (UK), LegalSifter (US), Lawgeex (US), ROSS Intelligence (US), vLex (US), Genie AI (UK), Harvey (US), Darrow (US), Leya (Sweden), eBrevia (US), Law GPT (US), LegalMation (US), LawPro.ai (US) and LegalFly (Belgium), among others in the Legal AI software market. The report also helps stakeholders understand the pulse of the legal AI software market and provides them with information on key market drivers, restraints, challenges, and opportunities.
TABLE OF CONTENTS
1 INTRODUCTION
1.1 STUDY OBJECTIVES
1.2 MARKET DEFINITION
1.2.1 INCLUSIONS AND EXCLUSIONS
1.3 MARKET SCOPE
1.3.1 MARKET SEGMENTATION
1.3.2 YEARS CONSIDERED
1.4 CURRENCY CONSIDERED
1.5 STAKEHOLDERS
1.6 SUMMARY OF CHANGES
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
2.1.1 SECONDARY DATA
2.1.2 PRIMARY DATA
2.1.2.1 Breakup of primary profiles
2.1.2.2 Key industry insights
2.2 MARKET BREAKUP AND DATA TRIANGULATION
2.3 MARKET SIZE ESTIMATION
2.3.1 TOP-DOWN APPROACH
2.3.2 BOTTOM-UP APPROACH
2.4 MARKET FORECAST
2.5 RESEARCH ASSUMPTIONS
2.6 RESEARCH LIMITATIONS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN LEGAL AI SOFTWARE MARKET
4.2 LEGAL AI SOFTWARE MARKET: TOP THREE APPLICATIONS
4.3 NORTH AMERICA: LEGAL AI SOFTWARE MARKET, BY TECHNOLOGY AND END USER
4.4 LEGAL AI SOFTWARE MARKET, BY REGION
5 MARKET OVERVIEW AND INDUSTRY TRENDS
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
5.2.1 DRIVERS
5.2.1.1 Significant increase in eDiscovery requirements
5.2.1.2 Surge in NLP adoption in legal operations
5.2.1.3 Government support for judicial efficiency
5.2.1.4 Proliferation of AI-driven knowledge management systems
5.2.2 RESTRAINTS
5.2.2.1 Ethical concerns over AI decision-making
5.2.2.2 Lack of skilled AI talent in legal sector
5.2.3 OPPORTUNITIES
5.2.3.1 Emergence of virtual hearings and online dispute resolution
5.2.3.2 Use of real-time sentiment analysis in courtrooms
5.2.3.3 Expansion of AI-driven arbitration platforms
5.2.4 CHALLENGES
5.2.4.1 Adapting AI to non-standardized legal processes
5.2.4.2 Standardizing AI for litigation-specific applications
5.3 EVOLUTION
5.4 ECOSYSTEM ANALYSIS
5.4.1 GEN AI LEGAL TOOLS
5.4.2 TRADITIONAL (OTHER AI) LEGAL TOOLS
5.4.3 DEPLOYMENT MODE
5.4.4 LEGAL APPLICATION
5.4.5 TECHNOLOGY
5.5 SUPPLY CHAIN ANALYSIS
5.6 INVESTMENT AND FUNDING SCENARIO
5.7 IMPACT OF GENERATIVE AI ON LEGAL AI SOFTWARE MARKET
5.7.1 TOP USE CASES AND MARKET POTENTIAL
5.7.1.1 Key use cases
5.7.1.1.1 Enhanced legal research efficiency
5.7.1.1.2 Automated document drafting
5.7.1.1.3 Smart contract management
5.7.1.1.4 Predictive case analytics
5.7.1.1.5 Client interaction automation
5.7.1.1.6 Risk management and compliance monitoring
5.8 CASE STUDY ANALYSIS
5.8.1 CASE STUDY 1: CLIO ENHANCED EFFICIENCY FOR AIKYAM LAW OFFICES
5.8.2 CASE STUDY 2: GENIE AI REDUCED DRAFTING TIME BY 75%
5.8.3 CASE STUDY 3: DISCO AI IMPROVED LEGAL DOCUMENT MANAGEMENT FOR WITHERS LLP
5.8.4 CASE STUDY 4: LAWPATH ENHANCED LEGAL SERVICES THROUGH GENERATIVE AI
5.8.5 CASE STUDY 5: HOLLAND & KNIGHT HEIGHTENED LEGAL EFFICIENCY AND DATA MANAGEMENT WITH LITERA SOLUTIONS
5.9 TECHNOLOGY ANALYSIS
5.9.1 KEY TECHNOLOGIES
5.9.1.1 Natural language processing (NLP)
5.9.1.2 Machine learning (ML)
5.9.1.3 Generative AI models
5.9.1.4 Optical character recognition (OCR)
5.9.1.5 Knowledge graphs
5.9.2 COMPLEMENTARY TECHNOLOGIES
5.9.2.1 Blockchain
5.9.2.2 Robotic process automation (RPA)
5.9.2.3 Document management systems (DMS)
5.9.2.4 Cloud computing
5.9.2.5 Smart contracts
5.9.3 ADJACENT TECHNOLOGIES
5.9.3.1 Application programming interfaces (APIs)
5.9.3.2 eDiscovery tools
5.9.3.3 Virtual assistants
5.9.3.4 Identity and access management (IAM)
5.10 REGULATORY LANDSCAPE
5.10.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
5.10.2 REGULATIONS, BY REGION
5.10.2.1 North America
5.10.2.1.1 SCR 17: Artificial Intelligence Bill (California)
5.10.2.1.2 S1103: Artificial Intelligence Automated Decision Bill (Connecticut )
5.10.2.1.3 National Artificial Intelligence Initiative Act (NAIIA)
5.10.2.1.4 Artificial Intelligence and Data Act (AIDA) - Canada
5.10.2.2 Europe
5.10.2.2.1 European Union (EU) - Artificial Intelligence Act (AIA)
5.10.2.2.2 General Data Protection Regulation (Europe)
5.10.2.3 Asia Pacific
5.10.2.3.1 Interim Administrative Measures for Generative Artificial Intelligence Services (China)
5.10.2.3.2 National AI Strategy (Singapore)
5.10.2.3.3 Hiroshima AI Process Comprehensive Policy Framework (Japan)
5.10.2.4 Middle East & Africa
5.10.2.4.1 National Strategy for Artificial Intelligence (UAE)
5.10.2.4.2 National Artificial Intelligence Strategy (Qatar)
5.10.2.4.3 AI Ethics Principles and Guidelines (Dubai)