 |
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
|
Issue: December 2025
Volume 10 | Issue 12
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19459
Article Published : 8041
Total Authors : 21252
Total Reviewer : 769
Total Countries : 145
Indexing Partner
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| 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 |
| Download E-Certificate: | Download |
| Author Reg. ID: |
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 |
| Downloads: | 000447 |
| 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
DOI (Digital Object Identifier):
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 |
| Share Article: | |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijrti.org
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | DOAJ : Directory of Open Access Journals |
| DRJI | Index Copernicus International | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
| Providing A digital object identifier by DOI.ONE How to Get DOI? |
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Join RMS/Earn 300
WhatsApp
Click Here
Click Here
Indexing Partner |
|||
| Copyright © 2025 - All Rights Reserved - IJRTI | |||