Utilizing Machine Learning in Legal Management to Enhance Supply Chain-Reference-Cited by-同舟云学术

Utilizing Machine Learning in Legal Management to Enhance Supply Chain

Published:2024-03-01 Issue: Volume: Page:240-254
ISSN:2327-350X
Container-title:Advances in Logistics, Operations, and Management Science
language:
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Author:

Pandey Binay Kumar¹^ORCID,Shah Asif Iqubal²,Chaudhuri Rajdip Bhadra³^ORCID,Dadheech Pankaj⁴^ORCID,Thankachan Blessy⁵,Dhabliya Dharmesh⁶^ORCID,George A. Shaji⁷^ORCID

Affiliation:

1. College of Technology, Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, India

2. St. Xavier's University, Kolkata, India

3. Xavier Law School, St. Xavier's University, Kolkata, India

4. Swami Keshvanand Institute of Technology, Management, and Gramothan, India

5. School of Computer Applications, JECRC University, Jaipur, India

6. Department of Information Technology, Vishwakarma Institute of Information Technology, India

7. Almarai Company, Saudi Arabia

Abstract

Innovative legal and supply chain complexity solutions include machine learning in legal management and intelligent supply chain governance. Complex laws and supply chains necessitate data-driven initiatives. Effective supply chain governance needs transparency, accountability, and risk management. Complex data-rich legal administration requires machine learning. Legal research, document analysis, and predictive analytics benefit from machine learning. Supply chain governance requires compliance and risk management. Machine learning principles demonstrate lawyers can switch careers. Innovation in legal tech comes from AI, blockchain, and cybersecurity. This novel machine learning strategy for legal and change and training management requires careful planning and implementation.

Publisher

IGI Global

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