Article Info

Published 03 May 2026

Volume / Issue 2 / Issue 4

Pages 216–226

DOI

10.64823/ijter.2604025

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Open Access Research Article

11 pages PDF

A Unified Privacy-Preserving AI Assistant Integrating Conversational AI, Legal Advisory, and Document Intelligence

by , , , , ,

International Journal of Technology and Emerging Research 2026 , 2 (4) , 216–226

10.64823/ijter.2604025

Received: 29 Apr 2026 Published: 03 May 2026

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Cite this article

APA

Bhagyashree Sanjay Deshmukhe, Manasi Mahavir Kurade, Arpita Dhanpal Devmore, Prasanna Sanjay Adake, Girish Rahul Bhosale, & Shrenik R. Patil (2026). A Unified Privacy-Preserving AI Assistant Integrating Conversational AI, Legal Advisory, and Document Intelligence. International Journal of Technology and Emerging Research, 2(4): 216–226. https://doi.org/10.64823/ijter.2604025

MLA

Bhagyashree Sanjay Deshmukhe, et al. "A Unified Privacy-Preserving AI Assistant Integrating Conversational AI, Legal Advisory, and Document Intelligence." International Journal of Technology and Emerging Research, vol. 2, no. 4, 2026, pp. 216–226. https://doi.org/10.64823/ijter.2604025

Chicago

Bhagyashree Sanjay Deshmukhe, Manasi Mahavir Kurade, Arpita Dhanpal Devmore, Prasanna Sanjay Adake, Girish Rahul Bhosale, Shrenik R. Patil. "A Unified Privacy-Preserving AI Assistant Integrating Conversational AI, Legal Advisory, and Document Intelligence." International Journal of Technology and Emerging Research 2, no. 4 (2026): 216–226. https://doi.org/10.64823/ijter.2604025

BibTeX

@article{Bhagyashree Sanjay Deshmukhe2026a, author = {Bhagyashree Sanjay Deshmukhe and Manasi Mahavir Kurade and Arpita Dhanpal Devmore and Prasanna Sanjay Adake and Girish Rahul Bhosale and Shrenik R. Patil}, title = {A Unified Privacy-Preserving AI Assistant Integrating Conversational AI, Legal Advisory, and Document Intelligence}, journal = {International Journal of Technology and Emerging Research}, year = {2026}, volume = {2}, number = {4}, pages = {216–226}, doi = {10.64823/ijter.2604025}, }

Abstract

This paper introduces a smart, privacy-focused AI assistant designed to simplify everyday digital tasks while keeping user data completely secure. Unlike traditional assistants that rely on cloud services, this system runs entirely on local infrastructure, ensuring sensitive information never leaves the user’s device. It combines three powerful capabilities into one unified platform: natural conversational interaction, legal guidance based on Indian laws, and intelligent document understanding for tasks like summarization and question answering. Built using locally hosted large language models, the assistant offers a seamless, all-in-one solution for both individuals and organizations. Experimental results show that the system performs efficiently with acceptable response times, making it a practical and secure alternative to existing AI assistants.

Keywords: artificial intelligence, natural language processing, Conversational AI, privacy-preserving AI, RAG, Local LLM, Legal Advisory System, Document Intelligence, Ollama, LLaMA, Flask API, On-Device AI

© 2026 The Author(s). Published by IORO Publications. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, distribution, and reproduction in any medium, provided the original author and source are credited, a link to the license is provided, and any changes are indicated.