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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM53774

Legal Consultation Bot

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM53774

Volume:

9 |

11 |

Nov 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

TK#

TAMILSELVI K #1

KJT#

KAVINILA J T #2

KK#

KEERTHANA K #3

PTC#

POORNI T C #4

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Abstract

Legal Consultation Bot is a web-based platform designed to make legal help more affordable and accessible for everyone. It combines artificial intelligence with an easy-to-use interface to help users understand legal concepts, create and analyze documents, and manage legal tasks efficiently. The platform offers five main features an AI-powered chat assistant for answering legal questions, a document generator for creating customized legal documents, a contract analyzer for reviewing uploaded agreements, a task manager for tracking important deadlines, and a resource library with essential legal information. Built using modern technologies like React, TypeScript, and Tailwind CSS, it ensures a responsive, secure, and reliable experience. With AI models from Hugging Face and data stored safely in the browser’s local storage, the platform prioritizes privacy and convenience. By providing instant, 24/7 access to legal support, Legal Consultation Bot makes it easier for anyone to handle legal matters confidently without the high costs or delays of traditional legal services.

KEYWORDS

AI Chatbot Legal Assistance Document Generator Document Analyzer Task Manager React TypeScript Tailwind CSS Hugging Face NLP Web Application

Cite This Article

TAMILSELVI K #1, KAVINILA J T #2, KEERTHANA K #3, POORNI T C #4, "Legal Consultation Bot," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 11, Nov 2025.

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Publication Date

12/10/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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0

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2

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5

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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