IJNRD Research Journal

WhatsApp
Click Here

WhatsApp editor@ijnrd.org
IJNRD
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (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)

Call For Paper

For Authors

Forms / Download

Published Issue Details

Editorial Board

Other IMP Links

Facts & Figure

Impact Factor : 8.76

Issue per Year : 12

Volume Published : 9

Issue Published : 96

Article Submitted :

Article Published :

Total Authors :

Total Reviewer :

Total Countries :

Indexing Partner

Join RMS/Earn 300

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: Legal Bot - AI Law Advisor Chatbot
Authors Name: Bhavika Pardhi , Shrutika Koli , Vivek Khanzode , Prof. Akshata Raut
Download E-Certificate: Download
Author Reg. ID:
IJNRD_217560
Published Paper Id: IJNRD2404730
Published In: Volume 9 Issue 4, April-2024
DOI:
Abstract: LEGALBOT" represents a groundbreaking development in the field of legal technology, aiming to democratize access to legal expertise and guidance. This innovative chatbot leverages advanced natural language processing (NLP) algorithms and a vast knowledge base to provide users with accurate legal information, advice and support. By enabling individuals to seek legal counsel and answers to their legal queries conveniently and affordably. This chatbot addresses the longstanding issues of legal accessibility and affordability. This chatbot provides an overview of the key features, benefits and potential impact of the Law Advisor Chatbot emphasizing its role in empowering individuals to make informed legal decisions and navigate the complexities of the legal system. Moreover, it highlights the chatbot's potential to serve as a valuable tool for legal professionals, improving efficiency in legal research and consultation processes. Overall, the Law Advisor Chatbot presents a significant step towards a more inclusive and equitable legal landscape.
Keywords: Advisor, Legal bot, Longitude, Question Answer System, Technology
Cite Article: "Legal Bot - AI Law Advisor Chatbot", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.h247-h256, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404730.pdf
Downloads: 00030
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 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:IJNRD2404730
Registration ID: 217560
Published In: Volume 9 Issue 4, April-2024
DOI (Digital Object Identifier):
Page No: h247-h256
Country: Virar, Maharashtra, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2404730
Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2404730
Share Article:
Share

Click Here to Download This Article

Article Preview
Click Here to Download This Article

Major Indexing from www.ijnrd.org
Semantic Scholar Microsaoft Academic ORCID Zenodo
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX PUBLON
DRJI SSRN Scribd DocStoc

ISSN Details

ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

DOI (A digital object identifier)


Providing A digital object identifier by DOI
How to Get DOI? DOI

Conference

Open Access License Policy

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Creative Commons License This material is Open Knowledge This material is Open Data This material is Open Content

Important Details

Social Media

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Join RMS/Earn 300

IJNRD