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市場調查報告書
商品編碼
1776771
2032 年法律科技市場人工智慧預測:按組件、部署模式、技術、應用、最終用戶和地區進行的全球分析AI in LegalTech Market Forecasts to 2032 - Global Analysis By Component (Component, Services and Other Components), Deployment Model (Cloud-based, On-premises and Hybrid), Technology, Application, End User and By Geography |
根據 Stratistics MRC 的數據,全球法律科技人工智慧市場規模預計在 2025 年達到 68.2 億美元,到 2032 年將達到 347.7 億美元,預測期內的複合年成長率為 26.2%。
法律科技中的人工智慧運用機器學習、自然語言處理和進階分析等人工智慧技術來最佳化法律流程。這些工具簡化了合約審查、法律研究和文件管理等活動,使法律專業人士能夠專注於策略性工作。透過處理大量法律數據,人工智慧可以識別模式並加快決策速度。法律科技解決方案正在透過自動化、數據主導的系統改變傳統的法律業務,從而提高律師事務所和內部法務團隊的準確性、效率和合規性。
據 flowGenius 稱,一家精品律師事務所將合約審查時間縮短了 60%,每位律師每月節省了 20 多個計費小時,同時降低了錯誤率並縮短了客戶週轉時間。
客戶對更快、更便利服務的需求不斷增加
人工智慧平台使律師事務所能夠自動化文件審查、合約分析和法律研究等日常業務,從而顯著縮短週轉時間。這一轉變源於客戶對即時更新和個人化法律支援的日益成長的期望。此外,人工智慧工具與虛擬助理和聊天機器人的整合也提高了可訪問性,使客戶能夠在傳統工作時間之外與法律服務互動。隨著法律部門努力提高業務效率,對人工智慧主導解決方案的需求持續成長。
抵制改變與缺乏數位素養
傳統律師事務所通常架構僵化,阻礙創新,從而延緩了數位轉型的步伐。此外,法律從業人員缺乏技術培訓,也阻礙了人工智慧的有效應用。資料隱私、演算法偏差和道德合規方面的擔憂進一步加劇了阻力。這些挑戰在規模較小的律所和數位基礎設施有限的地區尤為突出,阻礙了人工智慧的廣泛應用。
利用人工智慧進行預測分析與策略決策
人工智慧正在透過預測分析來評估案件結果、法官行為和訴訟風險,從而為法律策略開闢新的可能性。透過分析過往案例數據和判例,人工智慧工具可以幫助律師建立更明智的論點,並預測對方律師的策略。這種能力將法律研究從被動應對轉變為主動應對,使律所能夠最佳化資源配置,並將法律技術定位為企業管治和風險規避的策略資產,從而提升為客戶提供的諮詢服務。
過度依賴法律專家和空談理論
過度依賴自動化工具會導致批判性思考下降、法律推理能力下降,以及在複雜案件中缺乏情境判斷。此外,某些人工智慧演算法的黑箱特性引發了課責問題,尤其是在決策缺乏人工監督的情況下。這種趨勢可能會擴大精通科技的公司與無力投資先進法律科技的公司之間的差距,擾亂專業格局,並可能引發圍繞人工智慧生成的法律建議的道德困境。
新冠疫情催生了法律科技的應用,遠距辦公和虛擬法庭成為常態。律師事務所和法務部門紛紛採用人工智慧工具來維持業務連續性,並自動化執行電子取證、合約審查和合規性追蹤等任務。這場危機也凸顯了對安全、雲端基礎的平台的需求,這些平台不僅要能夠處理敏感的法律數據,還要支援分散式團隊之間的協作。
預計軟體領域將成為預測期內最大的領域
由於軟體在法律職能領域的廣泛應用,預計在預測期內將佔據最大的市場佔有率。人工智慧軟體解決方案廣泛應用於法律研究、合約分析、文件自動化和案件預測等任務。這些平台對於律師事務所和企業法務部門都至關重要,因為它們具有擴充性、與現有系統的整合以及方便用戶使用的介面。
預計預測期內交易預測和分析領域的複合年成長率最高。
隨著法律專業人士擴大利用人工智慧來預測訴訟結果、評估風險暴露並完善訴訟策略,預計訴訟預測與分析領域將在預測期內實現最高成長率。這些工具會分析大量資料集,例如法院判決、法官資料和案例法,從而產生切實可行的洞察。訴訟案件日益複雜,以及對數據主導決策的需求,正在推動人工智慧的應用。
北美預計將在預測期內佔據最大的市場佔有率,這得益於其成熟的法律基礎設施和高科技應用。該地區擁有眾多法律科技創新者和早期採用者,律師事務所積極將人工智慧融入其工作流程。監管支援、強大的資料保護框架以及客戶對數位法律服務的需求進一步推動了成長。湯森路透、LexisNexis 和 IBM 等主要參與者的存在正在推動創新和競爭差異化。
在預測期內,亞太地區預計將呈現最高的複合年成長率,這得益於快速數位化和不斷成長的法律服務需求。印度、中國和日本等國家正見證著對法律科技新興企業的投資增加,以及政府主導的司法系統現代化舉措。該地區不斷壯大的中階和商業生態系統為人工智慧驅動的法律解決方案創造了新的機會。此外,雲端基礎和行動法律應用程式的普及也提高了服務欠缺市場的可近性。
According to Stratistics MRC, the Global AI in LegalTech Market is accounted for $6.82 billion in 2025 and is expected to reach $34.77 billion by 2032 growing at a CAGR of 26.2% during the forecast period. AI in LegalTech involves applying artificial intelligence technologies like machine learning, natural language processing, and advanced analytics to optimize legal processes. These tools streamline activities such as reviewing contracts, conducting legal research, and managing documentation, allowing legal professionals to concentrate on strategic tasks. By processing large volumes of legal data, AI helps identify patterns and accelerate decision-making. LegalTech solutions are transforming conventional legal operations through automated, data-driven systems that enhance accuracy, efficiency, and compliance across law firms and in-house legal teams.
According to flowGenius, a boutique law firm cut contract review time by 60%, saving over 20 billable hours per attorney per month while reducing error rates and improving client turnaround.
Growing client demand for faster and more accessible services
AI-powered platforms are enabling law firms to automate routine tasks such as document review, contract analysis, and legal research, significantly reducing turnaround times. This shift is driven by rising client expectations for real-time updates and personalized legal support. Moreover, the integration of AI tools into virtual legal assistants and chatbots is enhancing accessibility, allowing clients to interact with legal services outside traditional office hours. As legal departments strive to improve operational efficiency, the demand for AI-driven solutions continues to accelerate.
Resistance to change and lack of digital literacy
Traditional law firms often operate within rigid structures that resist innovation, slowing the pace of digital transformation. Additionally, the lack of technical training among legal practitioners poses a barrier to effective AI implementation. Concerns around data privacy, algorithmic bias, and ethical compliance further compound resistance. These challenges are particularly pronounced in smaller firms and regions with limited access to digital infrastructure, hindering widespread adoption.
Leveraging AI for predictive analytics and strategic decision-making
AI is unlocking new possibilities in legal strategy by enabling predictive analytics that assess case outcomes, judge behavior, and litigation risks. By analyzing historical case data and legal precedents, AI tools help lawyers craft more informed arguments and anticipate opposing counsel tactics. This capability is transforming legal research from a reactive to a proactive function, allowing firms to optimize resource allocation and improve client advisory services positioning LegalTech as a strategic asset in corporate governance and risk mitigation.
Over-reliance and deskilling of legal professionals
Over-dependence on automated tools may lead to reduced critical thinking, diminished legal reasoning, and a lack of contextual judgment in complex cases. Additionally, the black-box nature of some AI algorithms raises accountability issues, especially when decisions are made without human oversight. This trend could also widen the gap between tech-savvy firms and those unable to invest in advanced LegalTech, potentially disrupting the professional landscape and creating ethical dilemmas around AI-generated legal advice.
The COVID-19 pandemic served as a catalyst for LegalTech adoption, as remote work and virtual court proceedings became the norm. Law firms and legal departments turned to AI-powered tools to maintain continuity in operations, automating tasks such as e-discovery, contract review, and compliance tracking. The crisis highlighted the need for secure, cloud-based platforms capable of handling sensitive legal data while supporting collaboration across distributed teams.
The software segment is expected to be the largest during the forecast period
The software segment is expected to account for the largest market share during the forecast period due to its extensive application across legal functions. AI-enabled software solutions are being widely adopted for tasks such as legal research, contract analysis, document automation, and case prediction. These platforms offer scalability, integration with existing systems, and user-friendly interfaces, making them indispensable for both law firms and corporate legal departments.
The case prediction & analytics segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the case prediction & analytics segment is predicted to witness the highest growth rate as legal professionals are increasingly leveraging AI to forecast litigation outcomes, assess risk exposure, and refine case strategies. These tools analyze vast datasets, including court rulings, judge profiles, and legal precedents, to generate actionable insights. The rising complexity of legal cases and the need for data-driven decision-making are fueling adoption.
During the forecast period, the North America region is expected to hold the largest market share attributed to a mature legal infrastructure and high technology penetration. The region is home to several LegalTech innovators and early adopters, with law firms actively integrating AI into their workflows. Regulatory support, robust data protection frameworks, and client demand for digital legal services are further propelling growth. The presence of major players such as Thomson Reuters, LexisNexis, and IBM is fostering innovation and competitive differentiation.
Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR driven by rapid digitalization and expanding legal service demand. Countries like India, China, and Japan are witnessing increased investment in LegalTech startups and government-led initiatives to modernize judicial systems. The region's growing middle class and business ecosystem are creating new opportunities for AI-powered legal solutions. Moreover, the adoption of cloud-based platforms and mobile legal apps is enhancing accessibility in underserved markets.
Key players in the market
Some of the key players in AI in LegalTech Market include AI Lawyer, Briefpoint, Case Status, Casetext, ClearLaw, elint AI, Ironclad, LawToolBox, Legalyze.ai, LexisNexis, Luminance, MikeLegal, mLeAP, MyCase, Provakil, Robin AI, ROSS Intelligence and Smith.ai.
In June 2025, LexisNexis Legal & Professional partnered with generative AI startup Harvey to integrate trusted legal content (U.S. case law, statutes, Shepard's citations) into Harvey's platform and jointly build advanced workflows like drafting Motions to Dismiss and Summary Judgment.
In April 2025, Ironclad launched Obligation & Entity Management, a unified dashboard, and custom AI data extraction to help procurement and legal teams recover up to 8.6% of lost contract value by ensuring supplier obligations are fulfilled.
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.