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全球法律人工智慧软体市场 - 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: 约2个工作天内

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简介目录

概述：

全球法律人工智慧软体市场在2022年达到5亿美元，预计2030年将达到37亿美元，2023-2030年预测期间复合年增长率为28.7%。

法律文件、合约、判例法和规范性文件只是法律部门产生的众多资料中的一小部分，这些资料可以透过法律人工智慧软体进行有效的处理和分析，使其成为律师事务所和法律部门的有用工具。法律人工智慧软体可以自动执行许多手动且耗时的任务，例如合约审查和法律研究，这可以提高法律专业人员的效率并显着节省成本。

例如，2023年4月25日，法律流程自动化领域的领导者Luminance与Nexa Law旗下品牌NexaConnex合作，将Luminance的人工智慧技术整合到NexaConnex法律服务产品中。 NexaConnex 是英国快速发展的法律服务供应商，为各领域的中阶市场律师事务所提供支援。这项合作始于 NexaConnex 使用 Luminance 的人工智慧为其一家律师事务所客户简化了一项复杂且时间敏感的揭露工作，从而节省了大量时间。

亚太地区是全球法律人工智慧软体市场不断增长的地区之一，占据了超过2/5的市场份额，该地区正在经历显着的经济成长和跨境业务活动的增加，这导致了法律工作量的增加，包括合约管理、尽职调查和合规性，推动了对人工智慧解决方案的需求，以简化这些流程。

动态：

自动化需求不断成长

日常任务和流程的自动化使法律专业人员能够专注于更高价值的任务，例如法律分析和策略制定，从而提高律师事务所和法律部门的效率和生产力。自动化透过最大限度地减少文件审查、合约分析和法律研究等任务中对体力劳动的需求，有助于降低营运成本，这种成本降低对于寻求优化预算的法律组织来说很有吸引力。

根据 GlobalSCAPE, Inc. 和 Ponemon 的研究，近年来无视资料隐私法规的成本显着增加。组织每年平均因不合规支出 1,482 万美元，是维持合规成本的 2.71 倍。每个行业处理的敏感或机密资讯的数量会影响合规成本的差异，从媒体组织的平均每年 770 万美元到金融服务公司的平均每年超过 3,090 万美元。

公司间的合作推动市场发展

法律案件和问题变得越来越复杂，需要多学科的专业知识。许多律师事务所和法律部门现在在全球范围内开展业务，为多个司法管辖区的客户提供服务并管理案件。协作工具促进不同地区团队之间的沟通和资讯共享，帮助他们跨国高效工作。

例如，2022 年 10 月 19 日，Siskind Susser, PC 与一家法律软体公司合作推出一种新的基于云端的人工智慧案件管理技术，旨在协助移民流程。 Visalaw.Ai 由移民律师事务所 Siskind Susser, PC 的律师和创新专业人士创立，已与法律技术和资料公司 Fastcase 签订合作协议，协助其 NextChapter 公司开发最先进的艺术移民案件管理和文件自动化系统。

机器学习和大数据分析的进步推动了市场的发展

法律领域的人工智慧软体受益于机器学习演算法的进步，这些演算法从大量法律案件、合约和其他文件的资料集中学习，以做出预测并协助律师工作。法律人工智慧软体可以利用大资料分析的力量来揭示法律文件和案例历史中的模式、趋势和见解，该技术可以帮助律师做出数据驱动的决策。

例如，2023 年8 月9 日，专注于技术客户的国际律师事务所Gunderson Dettmer 推出了其专有的内部生成式人工智慧聊天应用程式ChatGD，此举使Gunderson Dettmer 成为第一家使用生成式开发内部工具的美国公司人工智慧技术。 ChatGD 是一款 AI 应用程序，可让律师透过 Microsoft Azure 使用 OpenAI 模型安全地查询和操作文件。

结果不准确

法律人工智慧尚无法完全自动化复杂的法律任务。它可以协助文件审查、法律研究和合约分析，但人类监督和判断仍然至关重要，特别是在涉及新法律问题的案件中。用于训练合法人工智慧的资料的品质和数量极为重要。如果训练资料有偏差、缺乏或过时，结果可能不准确或有偏见。

法律人工智慧可能难以理解法律文件和案件的更广泛背景或细微差别，而这通常对法律决策至关重要。人工智慧缺乏人类律师所拥有的创造力和直觉，这使得它在需要创造性解决问题或策略性法律思维的任务中效率较低。人工智慧在法律领域的使用引起了道德问题，特别是在隐私、偏见和透明度方面。人工智慧演算法可能会无意中使历史法律资料中存在的偏见永久化。

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

14. Appendix

14.1. About Us and Services
14.2. Contact Us

02-2729-4219

+886-2-2729-4219

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