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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

Issue per Year : 12

Volume Published : 10

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Paper Title: AI-Powered Legal Document Summarizer with Real-Time Jurisdictional News Integration
Authors Name: Mohan Rajadurai N , Kishore Kumaran P S , Loganathan M , Jithendra Kumar S , Jegatheesh G
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IJRTI_202555
Published Paper Id: IJRTI2504211
Published In: Volume 10 Issue 4, April-2025
DOI:
Abstract: This paper presents an innovative legal document analysis system leveraging Google’s Gemini 1.5, a large language model trained on over 100 trillion parameters and fine-tuned with extensive legal corpora. The system is designed to optimize legal document processing by delivering real-time comprehension and jurisdiction-aware legal news aggregation. The dual-modal architecture comprises a primary document analysis module for summarization and question-answering, and a secondary module for integrating dynamically classified legal news. Experimental validation across a dataset of 10,000 diverse legal documents shows a summarization accuracy of 94.3% and legal question-answering accuracy of 91.7%. These results underline the model’s strength in contextual understanding and semantic parsing of legal language. The platform not only enhances productivity for legal professionals and compliance teams but also democratizes access to legal content for non-specialists. The system significantly reduces manual effort, enhances accuracy in comprehension, and contextualizes legal interpretation with up-to-date information. This research positions the system as a cornerstone in the evolution of legal technology (LegalTech), opening new frontiers for AI in jurisprudence, regulatory analysis, and policy research.
Keywords: Legal Document Analysis, Gemini 1.5, Natural Language Processing, LegalTech, AI in Law
Cite Article: "AI-Powered Legal Document Summarizer with Real-Time Jurisdictional News Integration ", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.b894-b901, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504211.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2504211
Registration ID:202555
Published In: Volume 10 Issue 4, April-2025
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Page No: b894-b901
Country: Coimbatore, Tamil Nadu, India
Research Area: Science & Technology
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2504211
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2504211
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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