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An Analysis of the Impact of Artificial Intelligence in the Legal Sector.

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Title: An Analysis of the Impact of Artificial Intelligence in the Legal Sector.
Authors: Madhav, Keshav1, Goyal, Vivek2, Kalwani, Mukesh3, Shukla, Ankita4, Chaturvedi, Shruti1, Kumar, Vanshika5
Source: Library of Progress-Library Science, Information Technology & Computer. Jul-Dec2024, Vol. 44 Issue 3, p10336-10348. 13p.
Subject Terms: *Artificial intelligence, *Machine learning, Data privacy, Legal professions, Human error
Abstract: Use of Artificial Intelligence in the legal field has made drastic changes to the traditional practices of legal profession by improving on the aspects of efficiency, accuracy and access. This paper looks at how innovations in AI like machine learning, natural language processing, and predictive analytics help or hinder the several processes of work in law including case studies, contracts, and legal decisions. The paper examines the efficiencies which include cutting down on costs and time, the reduction of human errors, and risk assessment of the legal operations through integration of AI technologies, the disadvantages of introducing the free use of AI, the ethical consideration, and issue that might be a hindrance in the integration process such as bias in the application of AI and the dilemma of data privacy. Therefore, while summarising the opportunities and challenges AI provides for the purpose of the legal work presented in this paper it is possible to conclude that this scholarship outlines how the AI is changing the nature of the legal services and the directions of such alterations in the future. [ABSTRACT FROM AUTHOR]
Copyright of Library of Progress-Library Science, Information Technology & Computer is the property of A.K. Sharma, Editor & Publisher and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: Use of Artificial Intelligence in the legal field has made drastic changes to the traditional practices of legal profession by improving on the aspects of efficiency, accuracy and access. This paper looks at how innovations in AI like machine learning, natural language processing, and predictive analytics help or hinder the several processes of work in law including case studies, contracts, and legal decisions. The paper examines the efficiencies which include cutting down on costs and time, the reduction of human errors, and risk assessment of the legal operations through integration of AI technologies, the disadvantages of introducing the free use of AI, the ethical consideration, and issue that might be a hindrance in the integration process such as bias in the application of AI and the dilemma of data privacy. Therefore, while summarising the opportunities and challenges AI provides for the purpose of the legal work presented in this paper it is possible to conclude that this scholarship outlines how the AI is changing the nature of the legal services and the directions of such alterations in the future. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Library of Progress-Library Science, Information Technology & Computer is the property of A.K. Sharma, Editor & Publisher and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Jul-Dec2024
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