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1360040

全球法律人工智慧軟體市場 - 2023-2030

Global Legal AI Software Market - 2023-2030

出版日期: 2023年10月11日 | 出版商:

DataM Intelligence | 英文 190 Pages | 商品交期: 約2個工作天內

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簡介目錄

概述：

全球法律人工智慧軟體市場在2022年達到5億美元，預計2030年將達到37億美元，2023-2030年預測期間複合年成長率為28.7%。

法律文件、合約、判例法和規範性文件只是法律部門產生的眾多資料中的一小部分，這些資料可以透過法律人工智慧軟體進行有效的處理和分析，使其成為律師事務所和法律部門的有用工具。法律人工智慧軟體可以自動執行許多手動且耗時的任務，例如合約審查和法律研究，這可以提高法律專業人員的效率並顯著節省成本。

例如，2023年4月25日，法律流程自動化領域的領導者Luminance與Nexa Law旗下品牌NexaConnex合作，將Luminance的人工智慧技術整合到NexaConnex法律服務產品中。 NexaConnex 是英國快速發展的法律服務供應商，為各領域的中階市場律師事務所提供支援。這項合作始於 NexaConnex 使用 Luminance 的人工智慧為其一家律師事務所客戶簡化了一項複雜且時間敏感的揭露工作，從而節省了大量時間。

亞太地區是全球法律人工智慧軟體市場不斷成長的地區之一，佔據了超過2/5的市場佔有率，該地區正在經歷顯著的經濟成長和跨境業務活動的增加，這導致了法律工作量的增加，包括合約管理、盡職調查和合規性，推動了對人工智慧解決方案的需求，以簡化這些流程。

動態：

自動化需求不斷成長

日常任務和流程的自動化使法律專業人員能夠專注於更高價值的任務，例如法律分析和策略制定，從而提高律師事務所和法律部門的效率和生產力。自動化透過最大限度地減少文件審查、合約分析和法律研究等任務中對體力勞動的需求，有助於降低營運成本，這種成本降低對於尋求最佳化預算的法律組織來說很有吸引力。

根據 GlobalSCAPE, Inc. 和 Ponemon 的研究，近年來無視資料隱私法規的成本顯著增加。組織每年平均因不合規支出 1,482 萬美元，是維持合規成本的 2.71 倍。每個行業處理的敏感或機密資訊的數量會影響合規成本的差異，從媒體組織的平均每年 770 萬美元到金融服務公司的平均每年超過 3,090 萬美元。

公司間的合作推動市場發展

法律案件和問題變得越來越複雜，需要多學科的專業知識。許多律師事務所和法律部門現在在全球範圍內開展業務，為多個司法管轄區的客戶提供服務並管理案件。協作工具促進不同地區團隊之間的溝通和資訊共享，幫助他們跨國高效工作。

例如，2022 年 10 月 19 日，Siskind Susser, PC 與一家法律軟體公司合作推出一種新的基於雲端的人工智慧案件管理技術，旨在協助移民流程。 Visalaw.Ai 由移民律師事務所 Siskind Susser, PC 的律師和創新專業人士創立，已與法律技術和資料公司 Fastcase 簽訂合作協議，協助其 NextChapter 公司開發最先進的藝術移民案件管理和文件自動化系統。

機器學習和巨量資料分析的進步推動了市場的發展

法律領域的人工智慧軟體受益於機器學習演算法的進步，這些演算法從大量法律案件、合約和其他文件的資料集中學習，以做出預測並協助律師工作。法律人工智慧軟體可以利用大資料分析的力量來揭示法律文件和案例歷史中的模式、趨勢和見解，該技術可以幫助律師做出數據驅動的決策。

例如，2023 年8 月9 日，專注於技術客戶的國際律師事務所Gunderson Dettmer 推出了其專有的內部生成式人工智慧聊天應用程式ChatGD，此舉使Gunderson Dettmer 成為第一家使用生成式開發內部工具的美國公司人工智慧技術。 ChatGD 是一款 AI 應用程式，可讓律師透過 Microsoft Azure 使用 OpenAI 模型安全地查詢和操作文件。

結果不準確

法律人工智慧尚無法完全自動化複雜的法律任務。它可以協助文件審查、法律研究和合約分析，但人類監督和判斷仍然至關重要，特別是在涉及新法律問題的案件中。用於訓練合法人工智慧的資料的品質和數量極為重要。如果訓練資料有偏差、缺乏或過時，結果可能不準確或有偏見。

法律人工智慧可能難以理解法律文件和案件的更廣泛背景或細微差別，而這通常對法律決策至關重要。人工智慧缺乏人類律師所擁有的創造力和直覺，這使得它在需要創造性解決問題或策略性法律思維的任務中效率較低。人工智慧在法律領域的使用引起了道德問題，特別是在隱私、偏見和透明度方面。人工智慧演算法可能會無意中使歷史法律資料中存在的偏見永久化。

Legal documents, contracts, case law and regulatory documents are merely a few of the numerous kinds of data that the legal sector produces and this data can be processed and analyzed by legal AI software effectively, making it a useful tool for law offices and legal departments. Legal AI software automates many manual and time-consuming tasks, such as contract review and legal research and this leads to increased efficiency and significant cost savings for legal professionals.

For instance, on 25 April 2023, Luminance, a leader in legal process automation, partnered with NexaConnex, a brand of Nexa Law, to integrate Luminance's AI technology into the NexaConnex legal service offering. NexaConnex, a fast-growing legal services provider in UK, supports mid-market law firms in various sectors. The partnership was initiated when NexaConnex used Luminance's AI to streamline a complex and time-sensitive disclosure exercise for one of its law firm clients, resulting in significant time savings.

Asia-Pacific is among the growing regions in the global Legal AI Software market covering more than 2/5th of the market and the region is experiencing significant economic growth and increased cross-border business activities and this has led to a higher volume of legal work, including contract management, due diligence and compliance, driving the demand for AI solutions to streamline these processes.

Dynamics:

Growing Demand for Automation

Automation of routine tasks and processes allows legal professionals to focus on higher-value tasks, such as legal analysis and strategy development and this leads to increased efficiency and productivity within law firms and legal departments. Automation helps reduce operational costs by minimizing the need for manual labor in tasks like document review, contract analysis and legal research, this cost reduction is appealing to legal organizations seeking to optimize their budgets.

According to GlobalSCAPE, Inc. and Ponemon studies the cost of disregarding data privacy regulations has significantly increased in recent years. Average annual expenditures for non-compliance for organizations are US$ 14.82 million, which is 2.71 times more expensive than keeping compliance. The amount of sensitive or confidential information handled by each industry affects the differences in compliance costs that range from US$ 7.7 million on average annually for media organizations to over US$ 30.9 million for financial services companies.

Collaboration Between Companies Boosts the Market

Legal cases and issues are becoming more complex, requiring multidisciplinary expertise. Many law firms and legal departments now operate on a global scale, serving clients and managing cases in multiple jurisdictions. Collaboration tools facilitate communication and information sharing among teams located in different regions, helping them work efficiently across borders.

For instance, on 19 October 2022, Siskind Susser, P.C. is partnering with a legal software company to launch a new cloud-based AI case management technology aimed at aiding immigration processes. Visalaw.Ai, founded by lawyers and innovation professionals at the immigration law firm Siskind Susser, P.C., has entered into a collaboration agreement with Fastcase, a legal technology and data company, to assist its NextChapter company in developing a state-of-the-art immigration case management and document automation system.

Advancements in Machine Learning and Big Data Analytics Boosts the Market

AI software in the legal field benefits from advancements in machine learning algorithms and these algorithms learn from vast varieties of datasets of legal cases, contracts and other documents to make predictions and assist lawyers in their work. Legal AI software can harness the power of big data analytics to uncover patterns, trends and insights within legal documents and case histories, this technology helps lawyers make data-driven decisions.

For instance, on 9 August 2023, Gunderson Dettmer, an international law firm with a focus on technology clients launched its proprietary internal generative AI chat app called ChatGD and this move makes Gunderson Dettmer the first US-based firm to develop an internal tool using generative AI technology. ChatGD is an AI application that allows attorneys to query and manipulate documents securely using OpenAI's models through Microsoft Azure.

Inaccurate Results

Legal AI is not yet capable of completely automating complex legal tasks. It can assist with document review, legal research and contract analysis, but human oversight and judgment are still essential, particularly in cases involving novel legal issues. The quality and quantity of the data used to train legal AI are extremely important. Results may be inaccurate or prejudiced if the training data is biased lacking or out of date.

Legal AI may struggle with understanding the broader context or nuances of legal documents and cases, which are often critical in legal decision-making. AI lacks the creativity and intuition that human lawyers possess, making it less effective in tasks requiring creative problem-solving or strategic legal thinking. The use of AI in the legal field raises ethical concerns, especially regarding privacy, bias and transparency. AI algorithms may inadvertently perpetuate biases present in historical legal data.

Segment Analysis:

The global legal AI software market is segmented based on component, deployment type, application, end-user and region.

Legal AI Software Provides Services that Automates Tasks

As laws and regulations become more intricate, legal professionals require advanced tools to manage and interpret vast volumes of legal information efficiently. Legal AI software provides the means to process this complexity. Legal AI can automate routine and time-consuming tasks, such as document review and contract analysis and this automation reduces operational costs and allows legal professionals to focus on higher-value tasks.

For instance, on 8 May 2023, Law Bot Pro is a groundbreaking app developed by a law student, Mandaar Mukesh Giri, aimed at providing easy and accessible legal information to the public. The app features an intelligent chatbot that answers legal questions in plain language, making legal knowledge more understandable. The app's chatbot is designed to simplify legal information, making it accessible to individuals with varying levels of legal knowledge.

Geographical Penetration:

Automation of Repetitive Tasks Boosts the Market

North America is dominating the global Legal AI Software market and the region has a vast and complex legal landscape, with a high volume of legal cases, contracts and regulatory compliance requirements. Legal AI software helps law firms and legal departments manage this workload more efficiently. Law firms in North America are under pressure to reduce costs while maintaining the quality of their legal services. Legal AI solutions automate repetitive tasks, allowing legal professionals to focus on higher-value work.

For instance, on 21 June 2023, Aderant, a provider of legal business management solutions, introduced MADDI, an AI-powered virtual associate designed to automate routine tasks and provide actionable insights in the legal industry. MADDI is pre-trained on Aderant applications, making it easier for law firms to adopt and ensuring quick time-to-value. MADDI's continuous learning capabilities are expected to drive firm-wide growth and optimization.

Competitive Landscape

The major global players in the market include: International Business Machines, Thomson Reuters Corporation Reuters Corporation, Open Text Corporation India Private Limited, Neota Logic Inc., Cognitiv+, Casetext, Inc., Klarity Intelligence, Inc., CaseMine, Kira Inc. and Reed Elsevier Inc..

COVID-19 Impact Analysis:

The pandemic forced law firms and legal departments to expedite their digital transformation efforts. Remote work and the need for efficient, accessible legal services led to a greater adoption of AI-powered legal solutions. Legal professionals needed tools that could facilitate remote collaboration, document sharing and secure communication. Legal AI software with collaboration features became essential.

The pandemic generated an increase in legal workloads due to contract disputes, regulatory changes and legal issues related to the crisis. Legal AI software helped manage these additional demands. Many businesses faced financial challenges during the pandemic, making cost control a priority. Legal AI software helped reduce legal operational costs through automation. Legal AI tools ensured the continuity of legal services, enabling lawyers to work on cases and projects despite lockdowns and disruptions.

The pandemic emphasized the importance of data privacy and security as remote work increased the vulnerability of sensitive legal information. Legal AI solutions had to enhance security measures. Legal AI software had to adapt to changing legal needs, such as handling force majeure clauses in contracts or addressing new regulatory requirements related to the pandemic.

AI Impact

AI-powered legal software can automate time-consuming tasks like document review, legal research and contract analysis and this significantly reduces the time and effort required for these activities, allowing legal professionals to focus on more strategic and value-added tasks. Automation of legal processes leads to cost savings for law firms and legal departments. AI leads to perform tasks 24/7 without the need for breaks or overtime, making it a cost-effective solution.

AI algorithms analyze a large volume of legal data with a high degree of accuracy and this reduces the risk of errors and ensures that legal documents and contracts are reviewed thoroughly. AI can extract valuable insights from legal data, helping lawyers and organizations make informed decisions. It can identify patterns, trends and anomalies in legal documents, which can be crucial in litigation, compliance and risk management.

For instance, on 7 September 2023, Microsoft introduced a Copilot Copyright Commitment to address concerns raised by customers regarding potential intellectual property (IP) infringement claims when using its AI-powered Copilot services and this commitment assures customers that they can use Microsoft's Copilot services and the generated output without worrying about copyright claims.

Russia- Ukraine War Impact

The conflict may lead to increased geopolitical uncertainty, affecting international business transactions and trade agreements. Legal AI software can quickly adapt to changing regulations and trade policies will be in higher demand. The war may result in contractual disputes, invoking force majeure clauses and necessitating legal review and arbitration. Legal AI tools capable of analyzing force majeure clauses and providing relevant case law and guidance will be valuable.

As sanctions and export control regulations evolve organizations will need Legal AI software to ensure compliance and these tools can help in identifying sanctioned entities, tracking regulatory changes and managing compliance risks. Companies operating in affected regions may face intellectual property challenges. Legal AI solutions that assist in patent, trademark and copyright protection will be crucial.

By Component

Services
Solution

By Deployment Type

On-Premise
Cloud

By Application

Legal Research
Contract Review and Management
E-Billing
Case Prediction
Others

By End-User

Law Firms
Corporate Legal Departments

By Region

North America
- U.S.
- Canada
- Mexico

Europe
- Germany
- UK
- France
- Italy
- Russia
- Rest of Europe

South America
- Brazil
- Argentina
- Rest of South America

Asia-Pacific
- China
- India
- Japan
- Australia
- Rest of Asia-Pacific

Middle East and Africa

Key Developments

In March 2023, PricewaterhouseCoopers International Limited (PwC) is collaborating with tech startup Harvey to introduce an artificial intelligence (AI) chatbot service for its 4,000 lawyers across 100+ countries. The AI assistant, integrated through a 12-month contract, aims to assist PwC lawyers in tasks such as contract analysis, regulatory compliance, due diligence and other legal advisory services.
In May 2023, Reed Elsevier Inc. launched Lexis+ AI in beta, utilizing generative AI to transform the legal research and document drafting process. The solution guides users in drafting legal documents or client emails by creating a first draft and allowing users to modify language and tone using prompts. Lexis+ AI has been developed with a focus on privacy and follows RELX responsible AI principles.
In July 2023, Berlin-based startup Legal OS, backed by Google, has publicly launched its generative AI platform designed for in-house legal teams. The platform offers business teams, such as sales and marketing, a legal assistant that can operate within their existing workflows.t aims to provide in-house teams with on-demand legal expertise, enabling immediate support for tasks like contract negotiation and review through chat interfaces embedded in communication tools, email or browsers.

Why Purchase the Report?

To visualize the global legal AI software market segmentation based on component, deployment type, application, end-user and region, as well as understand key commercial assets and players.
Identify commercial opportunities by analyzing trends and co-development.
Excel data sheet with numerous data points of legal AI software market-level with all segments.
PDF report consists of a comprehensive analysis after exhaustive qualitative interviews and an in-depth study.
Product mapping available as excel consisting of key products of all the major players.

The global legal AI software market report would provide approximately 69 tables, 66 figures and 190 Pages.

Target Audience 2023

Manufacturers/ Buyers
Industry Investors/Investment Bankers
Research Professionals
Emerging Companies

1. Methodology and Scope

1.1. Research Methodology
1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

3.1. Snippet by Component
3.2. Snippet by Deployment Type
3.3. Snippet by Application
3.4. Snippet by End-User
3.5. Snippet by Region

4. Dynamics

4.1. Impacting Factors
- 4.1.1. Drivers
  - 4.1.1.1. Growing Demand for Automation
  - 4.1.1.2. Collaboration Between Companies Boosts the Market
  - 4.1.1.3. Advancements in Machine Learning and Big Data Analytics Boosts the Market
- 4.1.2. Restraints
  - 4.1.2.1. Inaccurate Results
- 4.1.3. Opportunity
- 4.1.4. Impact Analysis

5. Industry Analysis

5.1. Porter's Five Force Analysis
5.2. Supply Chain Analysis
5.3. Pricing Analysis
5.4. Regulatory Analysis
5.5. Russia-Ukraine War Impact Analysis
5.6. DMI Opinion

6. COVID-19 Analysis

6.1. Analysis of COVID-19
- 6.1.1. Scenario Before COVID
- 6.1.2. Scenario During COVID
- 6.1.3. Scenario Post COVID
6.2. Pricing Dynamics Amid COVID-19
6.3. Demand-Supply Spectrum
6.4. Government Initiatives Related to the Market During Pandemic
6.5. Manufacturers Strategic Initiatives
6.6. Conclusion

7. By Component

7.1. Introduction
- 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 7.1.2. Market Attractiveness Index, By Component
7.2. Services*
- 7.2.1. Introduction
- 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
7.3. Solution

8. By Deployment Type

8.1. Introduction
- 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
- 8.1.2. Market Attractiveness Index, By Deployment Type
8.2. On-Premise*
- 8.2.1. Introduction
- 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
8.3. Cloud

9. By Application

9.1. Introduction
- 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 9.1.2. Market Attractiveness Index, By Application
9.2. Legal Research*
- 9.2.1. Introduction
- 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
9.3. Contract Review and Management
9.4. E-Billing
9.5. Case Prediction
9.6. Others

10. By End-User

10.1. Introduction
- 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 10.1.2. Market Attractiveness Index, By End-User
10.2. Law Firms*
- 10.2.1. Introduction
- 10.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
10.3. Corporate Legal Departments

11. By Region

11.1. Introduction
- 11.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
- 11.1.2. Market Attractiveness Index, By Region
11.2. North America
- 11.2.1. Introduction
- 11.2.2. Key Region-Specific Dynamics
- 11.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 11.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
- 11.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 11.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 11.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 11.2.7.1. U.S.
  - 11.2.7.2. Canada
  - 11.2.7.3. Mexico
11.3. Europe
- 11.3.1. Introduction
- 11.3.2. Key Region-Specific Dynamics
- 11.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 11.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
- 11.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 11.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 11.3.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 11.3.7.1. Germany
  - 11.3.7.2. UK
  - 11.3.7.3. France
  - 11.3.7.4. Italy
  - 11.3.7.5. Russia
  - 11.3.7.6. Rest of Europe
11.4. South America
- 11.4.1. Introduction
- 11.4.2. Key Region-Specific Dynamics
- 11.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 11.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
- 11.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 11.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 11.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 11.4.7.1. Brazil
  - 11.4.7.2. Argentina
  - 11.4.7.3. Rest of South America
11.5. Asia-Pacific
- 11.5.1. Introduction
- 11.5.2. Key Region-Specific Dynamics
- 11.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 11.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
- 11.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 11.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 11.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 11.5.7.1. China
  - 11.5.7.2. India
  - 11.5.7.3. Japan
  - 11.5.7.4. Australia
  - 11.5.7.5. Rest of Asia-Pacific
11.6. Middle East and Africa
- 11.6.1. Introduction
- 11.6.2. Key Region-Specific Dynamics
- 11.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 11.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
- 11.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 11.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User

12. Competitive Landscape

12.1. Competitive Scenario
12.2. Market Positioning/Share Analysis
12.3. Mergers and Acquisitions Analysis

13. Company Profiles

13.1. International Business Machines*
- 13.1.1. Company Overview
- 13.1.2. Product Portfolio and Description
- 13.1.3. Financial Overview
- 13.1.4. Key Developments
13.2. Thomson Reuters Corporation Reuters
13.3. Open Text Corporation India Private Limited
13.4. Neota Logic Inc.
13.5. Cognitiv+
13.6. Casetext, Inc.
13.7. Klarity Intelligence, Inc.
13.8. CaseMine
13.9. Kira Inc.
13.10. Reed Elsevier Inc.

LIST NOT EXHAUSTIVE