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1433854

法律產業中的人工智慧軟體：市場佔有率分析、產業趨勢/統計、成長預測（2024-2029）

AI Software in Legal Industry - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2024 - 2029)
出版日期: | 出版商: Mordor Intelligence | 英文 142 Pages | 商品交期: 2-3個工作天內

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簡介目錄

預計2024年全球法律產業人工智慧軟體市場規模將達到21.9億美元，並在2024-2029年預測期間以10.70%的複合年成長率成長，到2029年將達到36.4億美元。

法律產業市場的人工智慧軟體

人工智慧 (AI) 始終處於利用新技術突破提高法律產業生產力和效率的前沿。此外，自然語言處理、神經網路和晶片的進步以及處理能力的提高正在增加其在法律領域的應用價值。

主要亮點

  • 法律產業已經開始頻繁運用人工智慧技術來有效率地處理法律業務。例如，內部法務部門經常花費 50% 的時間審查契約，即使是像保密協議這樣簡單的契約，也會減慢業務並造成不必要的瓶頸。Masu。人工智慧可以讓律師專注於每份合約的相關部分，從而節省無數時間。
  • 由於電子取證、合約審查和管理、案件預測和合規性等領域對自動化的需求不斷增加，該市場正在不斷成長。為了幫助企業創造有形價值，合約管理自動化可以提高團隊完成交易的能力，加強與客戶的聯繫，並對組織的許多其他領域產生積極影響。如果不遵守 HIPAA、PCI DSS、GDPR 和其他財務法規等不斷擴展的標準，您將付出更多代價。根據 Globalscape 統計，金融業企業遵守資料保護 IT 規則的成本約為 547 萬美元，而當企業考慮罰款、生產力損失和利潤時，違規的成本則接近 1500 萬美元。 。
  • 與採用固定模型來分析資料集的預測性法律軟體不同，法律人工智慧會不斷適應新資訊。根據 2021 年安永法律調查，88% 的總法律顧問希望在未來四年內最大限度地降低其法律部門的成本。調查還表明，持續監控合約風險對 GC 來說有點困難。 71% 的受訪者表示，他們無法標記“偏離標準條款的合約”，78% 的受訪者表示，他們“沒有系統地追蹤合約義務”。
  • 人工智慧與法律的交叉預計在預測期內將顯著增加。人工智慧（AI）可用於執行實質審查（合約審查、法律研究以及執行實質審查的電子證據揭示功能）、預測技術（預測法庭上可能的結果），還可以用於各種任務，包括法律分析（提供律師可以在目前訴訟中使用的過去案件和先例法的資料點）、文件創建自動化、智慧財產權和各種其他任務。
  • 法律研究的複雜性使其既耗時又乏味。許多律師事務所為實現高效、準確的法律研究業務而必須縮短的周轉時間，進一步凸顯了對人工智慧的需求。人工智慧軟體可以顯著提高生產力和準確性，幫助法官更快做出決定。例如，ROSS Intelligence 使用自動化技術快速審查合約。該計劃將突出顯示適當的文件。使用正確的軟體可以大大增強和簡化法律研究。
  • 除了多個國家法律架構外，經濟合作暨發展組織(OECD) 還列出了 2021 年遍布 60 個國家的 700 個人工智慧政策計劃。在歐盟，預計 2022 年敲定的新人工智慧法將對高風險人工智慧系統進行明確、徹底的監管。儘管已經提案了許多與人工智慧相關的法案，美國尚未接受歐盟委員會提案的人工智慧監管綜合方法。
  • 同時，COVID-19 的爆發促使更多的企業法律部門和律師事務所為其法律圖書館購買人工智慧/機器學習解決方案。 E- 搜尋軟體和其他人工智慧平台在對抗COVID-19的鬥爭中受益匪淺。此類軟體有可能加速醫學研究人員對如何治療 COVID-19 的研究，並且正在創建以幫助訴訟律師更快地了解案件的核心。

法律產業人工智慧軟體市場趨勢

雲端預計將佔據很大佔有率

  • 事實證明，雲端基礎的業務管理軟體比本地系統具有眾多優勢，包括一致的可用性、效率和簡單的擴充性，所有這些都提高了律師的法律業務和生產力。它有助於提高盈利。
  • 此外，人工智慧解決方案必須透過與律師事務所的 Microsoft Active Directory 建立的安全性使用者登入和權限同步來保護敏感資料。出於保密原因，這些人工智慧系統通常安裝在律師事務所防火牆後面或私有雲端中。
  • 在快速適應和彈性方面，雲端解決方案優於本地解決方案。雲端解決方案已成為需要隨規模擴展的實踐管理系統的小型律師事務所的理想選擇。律師事務所可以將最相關的模組和功能整合到其現有的解決方案中。
  • 此外，雲端解決方案透過利用集中式資訊系統，實現同事、客戶和第三方之間的安全通訊和文件共用。您可以減少僅依賴電子郵件的固有危險。
  • Casepoint 的技術透過快速的企業級解決方案提供全方位的法律發現。透過評估單一平台，客戶可以管理和監控從合法持有到生產的整個發現過程，無需登入和退出不同的程序以及手動移動資訊。

預計北美將佔據主要佔有率

  • 人工智慧的使用正在增加。此外，為法律產業提供人工智慧平台和工具的公司在該地區擁有強大的影響力。例如 OpenText Corporation、IBM Corporation、Ross Intelligence Inc.、Veritone Inc. 和 Neota Logic Inc.。
  • 近年來，北美出現了一些最重要的法律科技新興企業投資。 Onit是一家總部位於美國的法律合約管理企業工作流程解決方案提供商，已獲得2億美元的策略性投資。加拿大雲端法律管理新興企業Clio 獲得 2.5 億美元 D 輪資金籌措。這是對法律和加拿大科技公司最重要的投資之一。
  • 全球法律界最近發生了重大變化，北美律師事務所也跟進。實質審查、合約分析、房地產分析、智慧財產權和爭議解決都受益於人工智慧功能。技術工具提高公司的效率和競爭力。
  • 企業培養箱和創新實驗室的可用性將有助於該地區開發基於人工智慧的法律軟體。為了促進法律科技的出現，老牌律師事務所、ALSP（如湯森路透）、四大銀行和金融公司（如巴克萊銀行）已經合作或建立了培養箱。這些培養箱為創新公司提供在市場上取得成功所需的指導、知識和（在某些情況下）融資，並為法律科技新興企業擴大發展提供支援和空間。

法律業AI軟體產業概況

法律產業的人工智慧軟體市場的市場滲透率較低，為現有公司和尋求進入該領域的外部人士創造了巨大的潛力。然而，目前的市場參與企業比新參與企業俱有壓倒性的優勢。由於良好的未來性、增加的投資和支援活動，當前市場參與企業之間的競爭預計將加劇。

  • 2023 年 5 月 - LexisNexis Group Inc. 宣布推出 Nexis Hub，這是一款支援和簡化任何研究工作流程的新工具。這項創新的解決方案專為滿足忙碌的專業人士的需求而開發，它與 Google Chrome 和 Microsoft Word 整合，幫助用戶簡化複雜且耗時的研究收集和報告撰寫過程。
  • 2023 年 5 月 - Luminance Technologies Ltd 宣布其專業大規模語言模型 (LLM) 的最新前沿應用，即人工智慧驅動的「Ask Lumi」聊天機器人。 Ask Lumi 是第一個由合法級人工智慧驅動的聊天機器人。使用者可以在 Microsoft Word 中開啟契約，向 AI 詢問有關合約的問題，並立即獲得答案。相比之下，Luminance 的 Legal Pre-Trained Transformer (LPT) 技術僅從合法檢驗的文件中學習。產生內容、分析和理解內容，即使內容是由第三方創建或編輯的。生成型人工智慧和分析型人工智慧的強大結合確保了法律的最大嚴謹性。

其他福利

  • Excel 格式的市場預測 (ME) 表
  • 3 個月分析師支持

目錄

第1章 簡介

  • 研究假設和市場定義
  • 調查範圍

第2章調查方法

第3章執行摘要

第4章市場洞察

  • 市場概況
  • 產業吸引力－波特五力分析
    • 供應商的議價能力
    • 消費者議價能力
    • 新進入者的威脅
    • 替代品的威脅
    • 競爭公司之間敵對關係的強度
  • 評估 COVID-19 對市場的影響

第5章市場動態

  • 市場促進因素
    • 法律行業對自動化的需求不斷成長，訴訟數量不斷增加
    • 律師事務所擴大使用人工智慧來完成法律事務
  • 市場限制因素
    • 敏感或合法資料的資料問題

第6章市場區隔

  • 依成分
    • 解決方案
    • 服務
  • 依介紹
    • 本地
    • 雲
  • 依用途
    • 法律調查
    • 合約審查與管理
    • 電子帳單
    • 電子發現
    • 遵守
    • 病例預測
    • 其他用途
  • 依最終用戶
    • 律師事務所
    • 企業法務部
    • 其他最終用戶
  • 依地區
    • 北美洲
    • 歐洲
    • 亞太地區
    • 拉丁美洲
    • 中東/非洲

第7章 競爭形勢

  • 公司簡介
    • Luminance Technologies Ltd
    • Ross Intelligence Inc.
    • Kira Inc.
    • IBM Corporation
    • Lexisnexis Group Inc.（RELX Group Plc）
    • Cs Disco Inc.
    • Thomson Reuters Corporation
    • Veritone Inc.
    • Casetext Inc.
    • Neota Logic Inc.
    • Brainspace Corporation
    • Smokeball Inc.
    • Text IQ Inc.
    • Opentext Corporation

第8章投資分析

第9章市場的未來

簡介目錄
Product Code: 66597

The AI Software Market in Legal Industry is expected to grow from USD 2.19 billion in 2024 to USD 3.64 billion by 2029, at a CAGR of 10.70% during the forecast period (2024-2029).

AI Software in Legal Industry - Market

Artificial intelligence (AI) has always been at the forefront of utilizing new technical breakthroughs for productivity and efficiency improvements in the legal industry. Also, due to the advancements and the increase in processing power in NLP, neural networks, and chips, the legal sector is observing improved value in its application.

Key Highlights

  • The legal industry has started implementing AI technologies more frequently to handle legal operations effectively. For instance, an internal legal department often spends 50% of its time examining contracts, even those as simple as non-disclosure agreements, slows down operations and causes unnecessary bottlenecks. By enabling lawyers to concentrate their review on the pertinent sections of each contract, AI can save countless hours.
  • The market is expanding due to the growing demand for automation in fields including eDiscovery, contract review and management, case prediction, and compliance. In order to help businesses generate tangible value, automation in contract management improves a team's capacity to close agreements, strengthens connections with clients, and positively impacts many other areas of the organization. It costs more money to not comply with growing standards like HIPAA, PCI DSS, GDPR, and other financial regulations. According to Globalscape, it costs firms in the financial sector roughly USD 5.47 million to comply with IT rules for data protection, and when a company takes into account fines, lost productivity, and profits, the cost of non-compliance is close to USD 15 million.
  • Legal AI continuously adapts in reaction to new information, unlike predictive legal software, which employs fixed models to analyze data sets. According to the 2021 EY Law Survey, 88% of General Counsels are eager to minimize the overall legal department costs within the next four years. The survey also suggested that continuously monitoring contract risks is a bit struggle for GCs. While 71% of respondents noted that they can't flag contracts "for deviations from standard terms," and 78% stated "they don't systematically track contractual obligations."
  • The intersection of AI and law is anticipated to increase significantly throughout the forecast time period. Artificial intelligence (AI) can also be used for a variety of tasks, including due diligence (to review a contract, conduct legal research, or perform electronic discovery functions to do due diligence), prediction technology (to predict the likely outcome of cases being decided before a court of law), legal analytics (to provide data points from previous case laws and judgments and precedent law that lawyers can use in their present cases), automation of documentation, Intellectual property, a variety of other tasks, and several others.
  • Due to the complexity involved in legal research, it can be time-consuming and tedious. The necessity for AI is further highlighted by the shorter deadlines that most law firms get to achieve efficient and precise legal research work. AI software can dramatically increase productivity and accuracy, helping judges make quick decisions. For instance, the ROSS Intelligence company uses automated technologies to examine contracts quickly. The program emphasizes pertinent documents. Legal research can be substantially enhanced and streamlined with the appropriate software.
  • In addition to several domestic legislative frameworks, the Organization for Economic Co-operation and Development (OECD) listed 700 AI policy projects across 60 nations in 2021. High-risk AI systems will be clearly and thoroughly regulated in the European Union with the new Artificial Intelligence Act, which is anticipated to be finalized in 2022. Although many AI-related legislation suggestions have been put out, the United States has not embraced the European Commission's suggested all-encompassing approach to AI regulation.
  • On the other hand, a wide range of corporate legal departments and law firms bought AI/machine learning solutions for their law libraries due to the outbreak of COVID-19. In law libraries, technology has a significant role. eDiscovery software and other artificially intelligent platforms have benefited in the fight against COVID-19. Such software, which has the potential to speed up medical researchers' investigations into how to cure COVID-19, is created to assist litigation attorneys in getting to the heart of a case more rapidly.

Legal AI Software Market Trends

Cloud is Expected to Hold Significant Share

  • Cloud-based practise management software has been proven to have numerous advantages over on-premise systems, including consistent availability, efficiency, and simple scalability, all of which assist attorneys boost the productivity and profitability of their law business.
  • Furthermore, AI solutions must protect sensitive data by synchronising with the secure user logins and permissions established by the law firm's Microsoft Active Directory or maybe configured for something like their Box cloud storage. To preserve secrecy, these AI systems are typically installed on-premise behind a law firm's firewall or in a private cloud.
  • When it comes to quick adaption and flexibility, cloud solutions outperform on-premise alternatives. Cloud solutions have emerged as the ideal option for small law firms in need of a practise management system that will scale with them. Law firms can integrate the modules or features that are most relevant to them into their existing solution.
  • Furthermore, cloud solutions enable safe communication and file sharing among colleagues, clients, and third parties by utilising a centralised information system. It mitigates the inherent hazards of depending entirely on email.
  • Casepoint's technology provides full-spectrum legal discovery with quick, enterprise-class solutions. through evaluate its single platform, their clients can manage and monitor the whole discovery process from legal hold through production, avoiding the need to log in and out of different programmes or manually move information.

North America is Expected to Hold a Major Share

  • Rising usage of AI. Furthermore, there is a considerable presence in the region among firms that provide platforms and tools for artificial intelligence to the legal industry. Examples include OpenText Corporation, IBM Corporation, Ross Intelligence Inc., Veritone Inc., and Neota Logic Inc.
  • In recent years, North America has seen some of the most important legal, technical startup investments. Onit, a US-based firm that provides corporate workflow solutions for legal and contract administration, has received a USD 200 million strategic investment. Clio, a cloud legal management startup located in Canada, has received a USD 250 million Series D fundraising round. This was one of the most significant investments in a legal and Canadian technology firms.
  • The worldwide legal department has seen significant changes recently, and North American law firms are following suit. Due diligence, contract analysis, real estate analysis, intellectual property, and conflict resolution all benefit from artificial intelligence capabilities. Technology tools improve the company's efficiency and competitiveness.
  • The availability of company incubators and innovation laboratories aids the region's development of AI-based legal software. To promote the emergence of legal technology, established law firms, ALSPs (such as Thomson Reuters), the Big Four, and financial corporations (such as Barclays) cooperated or founded their incubators. These incubators give access to the guidance, knowledge, and, in some cases, financing that innovative enterprises require to flourish in the market, as well as space to assist legal tech startups and scale-up growth.

Legal AI Software Industry Overview

The legal industry's AI software market has a low market penetration rate, creating tremendous potential for incumbent companies and outsiders looking to enter the sector. However, current market participants have a tremendous edge over any new entrants. Due to the outstanding prospects, rising investments, and supporting activities, competition among present market participants is expected to heat up.

  • May 2023 - LexisNexis Group Inc has announced the launch of Nexis Hub, a new tool that supports and streamlines any research workflow to accelerate time to insight. The innovative new solution, created to meet the needs of busy professionals, integrates with Google Chrome and Microsoft Word to help users streamline the complicated and time-consuming process of collecting research and creating reports.
  • May 2023 - Luminance Technologies Ltd has launched the latest cutting-edge application of its specialist legal large language model (LLM), the AI-powered 'Ask Lumi' chatbot. 'Ask Lumi' represents the first chatbot underpinned by this legal-grade AI. It allows users to open any contract in Microsoft Word, ask the AI questions about their agreement, and receive instant responses. In contrast, Luminance's Legal Pre-Trained Transformer (LPT) technology learns solely from legally verified documents. It is able to produce content and analyze and understand the content, even that created or edited by third parties. This powerful combination of both generative and analytical AI ensures the utmost legal rigor.

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Assumption And Market Defination
  • 1.2 Scope of the study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET INSIGHTS

  • 4.1 Market Overview
  • 4.2 Industry Attractiveness - Porter's Five Forces Analysis
    • 4.2.1 Bargaining Power Of Suppliers
    • 4.2.2 Bargaining Power Of Consumers
    • 4.2.3 Threat Of New Entrants
    • 4.2.4 Threat Of Substitute Products
    • 4.2.5 Intensity Of Competitive Rivalry
  • 4.3 Assessment of COVID-19 Impact on the Market

5 MARKET DYNAMICS

  • 5.1 Market Drivers
    • 5.1.1 Growing Demand For Automation And Increasing Number Of Litigations In The Legal Industry
    • 5.1.2 Growth In The Utilization Of AI By Legal Companies To Complete Legal Cases
  • 5.2 Market Restraints
    • 5.2.1 Data Privacy Concerns Of The Confidential And Legal Data

6 MARKET SEGMENTATION

  • 6.1 By Component
    • 6.1.1 Solution
    • 6.1.2 Services
  • 6.2 By Deployment
    • 6.2.1 On-premise
    • 6.2.2 Cloud
  • 6.3 By Application
    • 6.3.1 Legal Research
    • 6.3.2 Contract Review and Management
    • 6.3.3 E-billing
    • 6.3.4 E-discovery
    • 6.3.5 Compliance
    • 6.3.6 Case Prediction
    • 6.3.7 Other Applications
  • 6.4 By End-User
    • 6.4.1 Law Firms
    • 6.4.2 Corporate Legal Departments
    • 6.4.3 Other End-users
  • 6.5 By Geography
    • 6.5.1 North America
    • 6.5.2 Europe
    • 6.5.3 Asia Pacific
    • 6.5.4 Latin America
    • 6.5.5 Middle East and Africa

7 COMPETITIVE LANDSCAPE

  • 7.1 Company Profiles
    • 7.1.1 Luminance Technologies Ltd
    • 7.1.2 Ross Intelligence Inc.
    • 7.1.3 Kira Inc.
    • 7.1.4 IBM Corporation
    • 7.1.5 Lexisnexis Group Inc. (RELX Group Plc)
    • 7.1.6 Cs Disco Inc.
    • 7.1.7 Thomson Reuters Corporation
    • 7.1.8 Veritone Inc.
    • 7.1.9 Casetext Inc.
    • 7.1.10 Neota Logic Inc.
    • 7.1.11 Brainspace Corporation
    • 7.1.12 Smokeball Inc.
    • 7.1.13 Text IQ Inc.
    • 7.1.14 Opentext Corporation

8 INVESTMENT ANALYSIS

9 FUTURE OF THE MARKET