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市场调查报告书
商品编码
1370798
法律分析市场 - 2018-2028 年全球产业规模、份额、趋势、机会和预测,按分析、部署类型、案例类型、最终用户、地区和竞争细分Legal Analytics Market- Global Industry Size, Share, Trends, Opportunity, and Forecast, 2018-2028 Segmented By Analytics, By Deployment Type, By Case Type, By End User, By Region and Competition |
由于企业越来越多地采用基于云端的法律分析解决方案,特别是在发展中国家,预计全球法律分析市场将在预测期内激增,以简化协作、可扩展性、提高法律软体整合以及法律软体整合的发展。管理。法律分析可以帮助组织识别趋势和模式,从而确定业务成长的时间和地点。透过了解这些模式,组织可以就如何扩大财务潜力、降低成本和赢得更多客户做出更好的决策。它使企业有机会发现机会、增强成长潜力、提高效率、管理分布在多个站点的资料,同时提高效能、可靠性和可扩展性。此外,人工智慧(AI)和机器学习(ML)在法律分析中的日益采用正在增加全球法律分析市场的需求。为了弥补复杂系统的损失,企业越来越多地利用法律分析服务来提供更有效率的数据驱动决策,并提高法律专业人员的法律能力。分析领域进行的众多创新和产品发布预计将增强法律分析的功能。此外,组织对资料驱动决策(DDDM)方法的需求也推动了需求的成长。反过来,这预计将在预测期内推动市场成长。
市场概况 | |
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预测期 | 2024-2028 |
2022 年市场规模 | 19.2亿美元 |
2028 年市场规模 | 61.6亿美元 |
2023-2028 年复合年增长率 | 21.49% |
成长最快的细分市场 | 云 |
最大的市场 | 北美洲 |
大资料分析技术在许多行业中变得无所不在,法律行业也不例外。由于科技的快速发展和对发展数位技能的日益重视,面向未来的组织不断重新定义他们所寻求的法律程序。如今,律师事务所和企业法务部门拥有大量资料。这些资料包括帐单记录、案卷记录或诉讼结果以及与潜在客户相关的电子邮件通讯和资讯等所有内容。为了理解这些资料并找到重要的模式和链接,组织需要人工智慧 (AI) 和机器学习 (ML) 的帮助。人工智慧和机器学习的整合正在帮助企业自动化各种与法律分析相关的操作,并减少员工需要完成的手动任务的数量。可以使用支援人工智慧的系统收集有关员工绩效、敬业度、工作幸福感、职业目标、培训要求和其他主题的即时见解。此外,刑事案件还会有证人证词、多名证人以及其他资讯。确定这些刑事案件起诉成功的可能性。许多律师事务所已经实施了机器学习模型,利用历史法院判决来产生案件结果。人工智慧演算法甚至能够预测结果,以提高律师的工作效率、避免代价高昂的错误和诉讼结果。例如,世界经济论坛最近的一项研究预测,到 2025 年,全球 7,500 万个工作将由人工智慧自动化。此外,根据 2022 年 IBM 全球人工智慧采用指数,在 35% 的案例中,企业报告在其营运中使用了人工智慧,而 42% 的企业表示正在对其他案例进行调查。技术的进步有助于替换和升级法律分析,从而增强手动系统,不断平衡员工和雇主之间的整体管理以保持法律稳定性。因此,人工智慧和机器学习在法律分析中的日益采用可能会推动预测期内全球法律分析市场的成长。
对即时洞察和预测来优化效能的需求凸显了对资料驱动决策 (DDDM) 的需求。传统上,法律行业在做出决策时依赖直觉和经验,这导致了偏见和次优结果。为了克服偏见并做出与其策略相符的最佳管理决策,数据驱动的决策组织可以使用正确的 KPI 和工具,利用资料做出明智且经过验证的决策。然而,律师事务所正在实施资料驱动的决策演算法,优先衡量其绩效,加速公司的成长潜力,并透过利用资料解决任何问题,使他们能够更好地管理、发展人才并保持竞争力。由于大多数法律从业人员通常会同时处理不同的案件,因此需要一种有效的方法来在最短的时间内了解案件的模式和结果。此外,许多企业正在整合基于资料驱动的决策法律分析,以获得众多好处,例如尖端的决策方法、更好的诉讼策略、减少营业额、发现诈欺和提高员工敬业度。因此,组织对数据驱动决策(DDDM)的需求不断增长,正在推动预测期内全球法律分析市场的成长。
在物联网和先进技术的推动下,预测性维护的普及确保了法律产业的长久发展。预测性维护正在成为律师事务所最大限度提高生产力、效率和获利能力的越来越有价值的工具。透过利用最新的预测性维护工具和技术,律师事务所正在努力实现最佳结果。预测分析工具正在帮助法律专业人士预测法律案件的结果,识别潜在风险,预测客户和员工流失,并制定更有效的法律策略。放置在汽车不同部件中的感测器即时监控车辆的工作状态。根据收集的资料,在分析这些资料,就地系统会在需要任何特定服务时提供更新。例如,预测性维护可以帮助律师事务所识别潜在的成本节省领域,例如减少在某些任务上花费的时间或识别提高效率的机会。它还可以帮助律师事务所更好地管理其资源,例如人员和技术,以提高其利润。此外,物联网的整合正在利用预测性维护来增强传动功能、优化引擎性能并保持车辆的结构稳定性。
全球法律分析市场分为分析、部署类型、案例类型和最终用户。根据分析,市场分为预测性、规范性和描述性。根据部署类型,市场分为云端和本地。依案件类型,市场分为商业案件管理、反垄断管理、智慧财产权管理等。根据最终用户,市场分为律师事务所、企业、政府实体等。
Wolters Kluwer NV、微软公司、汤森路透公司、UnitedLex Corporation、Mindcrest Inc.、LexisNexis (RELX Plc)、Wipro Limited、Abacus Data Systems, Inc.、Clarivate Analytics Plc 和IBM Corporation 是推动这一趋势的主要参与者。全球法律分析市场的成长。
在本报告中,除了以下详细介绍的产业趋势外,全球法律分析市场也分为以下几类:
(註:公司名单可依客户要求客製化。)
Global legal analytics market is predicted to proliferate during the forecast period due to the increasing adoption of cloud-based legal analytics solutions, especially in developing countries by enterprises to streamline collaboration, scalability, improve legal software integration along with the development of more enhancement in legal management. Legal analytics can help organisations identify trends and patterns that pinpoint when and where business growth occurs. By understanding these patterns, organizations can make better decisions about how to scale the financial potential, reduce costs and gain more clients. It gives businesses the opportunity to undiscover opportunities and strengthen its growth potential, increase efficiency, manage data spread across several sites while enhancing performance, dependability, and scalability. Additionally, increasing adoption of artificial intelligence (AI) and machine learning (ML) in legal analytics are increasing the demand of global legal analytics market. To compensate for the losses in complexity systems, businesses are increasingly utilising legal analytics services to offer more productive and take data-driven decisions and increasing legal capability for the legal professionals. Numerous innovations and product launch carried out in analytics are expected to enhance the features of legal analytics. Furthermore, the need for organizations to make Data-driven Decision Making (DDDM) approach has aided in risen the demand. This, in turn, is expected to drive market growth during the forecast period.
Legal analytics is the practice of using data to inform decisions about issues that have an impact on law firms and attorneys, such as matter forecasting, legal strategy, and resource management. It is the science of gaining knowledge through analyzing vast amounts of data. In practice, legal analytics tools, provides a competitive advantage by offering unparalleled transparency and insight into in-house counsel members, departments, and decision-makers, enabling lawyers make data-driven decisions on which to build their legal strategies. The legal analytics market is becoming more widespread as more organizations recognize its value. In addition, the main purpose of legal analytics is to optimize and facilitate the hiring process and enable the law firms to gain transparency between the attorney and a potential client. The law firms are integrating technology and business insights in which legal analytics plays an essential component. Moreover, to achieve business goals, enterprises are increasing utilizing the legal analytics as a tool to streamlining eDiscovery, facilitating law firm marketing, and increasing client satisfaction, promoting lawyer productivity, improving legal research, and deciding legal actions with knowledge and risk in mind. These Legal analytics are generally used in enhancing legal reporting, evaluating KPIs, collecting data, and provide transparency to the legal authorities, among others.
Market Overview | |
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Forecast Period | 2024-2028 |
Market Size 2022 | USD 1.92 Billion |
Market Size 2028 | USD 6.16 Billion |
CAGR 2023-2028 | 21.49% |
Fastest Growing Segment | Cloud |
Largest Market | North America |
Big data analytics technologies are becoming omnipresent in many industries, and the legal sector is no exception. Future-ready organizations are continuously redefining the legal process they seek because of quickly evolving technology and an increased emphasis on developing digital skills. Nowadays, there are enormous amounts of data available in legal firms and corporate legal departments. This data includes everything from billing records, docket records, or litigation outcomes, and email communications and information related to potential clients. To understand this data and find significant patterns and links, organizations require the aid of artificial intelligence (AI) and machine learning (ML). The integration of AI and machine learning are aiding enterprises to automate a variety of legal analytics-related operations and reducing the number of manual tasks that employees need to complete. Real-time insights regarding employee performance, engagement levels, work happiness, career goals, training requirements, and other topics may be gathered using systems that are AI-enabled. Moreover, criminal cases come with witness statements, several witnesses, and other information. To identify these criminal cases with the likelihood of success in prosecution. Many law firms have implemented machine learning models to produce the outcome of cases using historical court judgments. AI algorithms are even capable of forecasting results for increasing attorney productivity, avoid costly mistakes, and litigation outcomes. For instance, a recent study by the World Economic Forum projects that by 2025, 75 million jobs worldwide will be automated by AI. Moreover, according to IBM Global AI Adoption Index 2022, in 35% of cases, enterprises reported employing AI in their operations, while 42% said they are investigating it in other cases. The advancement in technologies is aiding in replacing and upgrading the legal analytics enabling the enhancement of manual systems, constantly balancing the overall management between employee and employers to maintain legal stability. Therefore, the increasing adoption of artificial intelligence and machine learning in legal analytics might be propelling the growth of global legal analytics market in the forecast period.
The need for real-time insights and predictions to optimize the performance has highlighted the requirement for Data-driven Decision Making (DDDM). Traditionally the law industry has relied on intuition and experience while making decisions, which has led to biases and suboptimal outcomes. To overcome the biases and making the best managerial rulings that are aligned with their strategies, the data-driven decision-making organizations can use data to make informed and verified decisions by using the right KPI's and tools. However, law firms are implementing the data driven decision making algorithms to prioritizes measuring its performance, accelerating the firm's growth potential, and addressing any issues by making use of data, enabling them to manage better and develop their talent and stay competitive. As most of the legal practitioners generally handle different cases simultaneously, there is a need for an effective approach to understand the patterns and outcome of the cases within a minimal time. Moreover, many enterprises are integrating data driven based decision-making legal analytics for numerous benefits such as cutting-edge decision-making approach, better litigation strategy, reduced turnover, spotting fraud, and enhanced employee engagement. Thus, the growing need for organizations to make Data-Driven Decision Making (DDDM) are driving the growth of global legal analytics market in the forecast period.
The proliferation of predictive maintenance, powered by IoT and advanced technologies, ensures a long life for the legal industry. Predictive maintenance is becoming an increasingly valuable tool for law firms to maximize their productivity, efficiency, and profitability. By leveraging the latest predictive maintenance tools and technologies, law firms are trying to achieve optimal results. Predictive analytics tools are aiding legal professionals to forecast the outcomes of legal cases, identify potential risks, predict client & employee churn, and develop more effective legal strategies. Sensors placed in different car components monitor the vehicle's working status in real-time. Based on the collected data, on analyzing this data, the in-place system gives updates when any specific service is required. For instance, predictive maintenance can help law firms identify areas of potential cost savings, such as reducing the amount of time spent on certain tasks or identifying opportunities for improved efficiency. It can also help law firms better manage their resources, such as personnel and technology, to improve their bottom line. Moreover, the integration of IoT is leveraging predictive maintenance to enhance transmission function, optimize the engine performance, and maintain the structural stability of vehicles.
The global legal analytics market is segmented into analytics, deployment type, case type, and end user. Based on analytics, the market is segmented into predictive, prescriptive, and descriptive. Based on deployment type, the market is bifurcated into cloud and on-premises. Based on case type, the market is segmented into commercial case management, antitrust management, intellectual property management, and others. Based on end users, the market is segmented into legal firms, corporate, government entities, and others.
Wolters Kluwer NV, Microsoft Corporation, Thomson Reuters Corporation, UnitedLex Corporation, Mindcrest Inc., LexisNexis (RELX Plc), Wipro Limited, Abacus Data Systems, Inc., Clarivate Analytics Plc, and IBM Corporation are among the major players that are driving the growth of the global legal analytics market.
In this report, the global legal analytics market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
(Note: The companies list can be customized based on the client requirements.)