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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
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Issue: May 2026
Volume 11 | Issue 5
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 120
Article Submitted : 24204
Article Published : 9239
Total Authors : 24597
Total Reviewer : 847
Total Countries : 165
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| Paper Title: | AI-Based Legal Decision Support System using FAISS and Explainability |
| Authors Name: | Dr M.Padma Priya , Akil Pranav T , Akshaya V , Aslin R , Ayush Raj.S |
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IJRTI_211773
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| Published Paper Id: | IJRTI2604322 |
| Published In: | Volume 11 Issue 4, April-2026 |
| DOI: | |
| Abstract: | Abstract—Legal documents can be really tough to figure out. People usually do not know where to find explanations. This project is about creating a Personal Legal AI Assistant that gives people answers about the law in a way that is easy to understand. The system uses natural language processing and a special search tool called FAISS from Facebook to look for ideas in a collection of legal information. This helps the system find the parts of the law, examples from court cases and simple explanations that people can understand when they ask a question about the law. The interface is easy to use so people who are not lawyers can get answers to their questions about the law without needing a professional to interpret the law for them. The Personal Legal AI Assistant is what this project is about. This approach is a way to make legal information more accessible and help people understand their rights and obligations better. The Personal Legal AI Assistant is about making the law easier to understand for people. The Personal Legal AI Assistant can really make a difference in peoples lives by providing legal information, about the law. . |
| Keywords: | FAISS, Vectorized legal knowledge base,semantic-similarity searches,LLMs,Transformer- Based Embeddings |
| Cite Article: | "AI-Based Legal Decision Support System using FAISS and Explainability", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.c384-c388, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604322.pdf |
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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 |
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Published Paper ID: IJRTI2604322
Registration ID:211773
Published In: Volume 11 Issue 4, April-2026
DOI (Digital Object Identifier):
Page No: c384-c388 Country: chennai, tamilnadu, India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2604322 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2604322 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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