E-Portal for Case Management using Artificial Intelligence

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. Index Terms: Legal AI, Case Management System, NLP, Document Summarization, Indian Judiciary, Semantic Search, Automation.

Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-05-14
DOI
https://doi.org/10.55041/ijsrem47899
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
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article

E-Portal for Case Management using Artificial Intelligence

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Big Data and Business Intelligence
article

E-Portal for Case Management using Artificial Intelligence

article en

Abstract

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. Index Terms: Legal AI, Case Management System, NLP, Document Summarization, Indian Judiciary, Semantic Search, Automation.

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(05)
Openalex Percentile: Top 83%
Big Data and Business Intelligence
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