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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM47899

E-Portal for Case Management using Artificial Intelligence

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM47899

Volume:

9 |

5 |

May 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM47899

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

pDG

prof Dr.Shanmugarathinam G

PM

Prof.Srinivas Mishra

NM

Nikhil M

HGb

Harish G bagasar

SRS

Siri R Shetty

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Abstract

the legal sector in India continues to grapple with extensive manual processing of complex and unstructured legal documents. The e-Portal for Case Management using Artificial Intelligence (AI) is a proposed system designed to automate legal document analysis, extraction of relevant events, and classification of case files. This paper presents the design, methodology, and implementation of a case management platform leveraging Natural Language Processing (NLP), Machine Learning (ML), and modern web technologies to streamline legal workflows. The system aims to assist lawyers, judges, and legal researchers in reviewing judgments, hearings, and petitions more efficiently. It supports event extraction, timeline creation, document summarization, and semantic search powered by vector embeddings. The solution enhances accessibility, accuracy, and decision-making in the Indian judiciary by providing a centralized, intelligent portal. Our findings show significant time savings, higher document interpretation accuracy, and better support for case tracking across jurisdictions.

KEYWORDS

Legal AI Case Management System NLP Document Summarization Indian Judiciary Semantic Search Automation.

Cite This Article

prof Dr.Shanmugarathinam G, Prof.Srinivas Mishra, Nikhil M, Harish G bagasar, Siri R Shetty, "E-Portal for Case Management using Artificial Intelligence," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 5, May 2025. https://doi.org/10.55041/IJSREM47899

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Publication Date

5/14/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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5

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The authors declare no conflict of interest related to this research work.

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