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

Paper Details
Manuscript ID: 2126-0429-0772
Vol.: 2 Issue: 4 Pages: 216-226 Apr - 2026 Subject: Artificial Intelligence And Machine Learning Language: English
ISSN: 3068-1995 Online ISSN: 3068-109X DOI: https://doi.org/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 Privacy-Preserving AI Local LLM Conversational AI Legal Advisory System Document Intelligence Ollama LLaMA Natural Language Processing RAG Flask API On-Device AI
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Cite this Article

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 & Emerging Research (IJTER), 2(4), 216-226. https://doi.org/10.64823/ijter.2604025

BibTeX
@article{ijter2026212604290772,
  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 &  Emerging Research },
  year = {2026},
  volume = {2},
  number = {4},
  pages = {216-226},
  doi =  {10.64823/ijter.2604025},
  issn = {3068-109X},
  url = {https://www.ijter.org/article/212604290772/a-unified-privacy-preserving-ai-assistant-integrating-conversational-ai-legal-advisory-and-document-intelligence},
  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, Privacy-Preserving AI, Local LLM, Conversational AI, Legal Advisory System, Document Intelligence, Ollama, LLaMA, Natural Language Processing, RAG, Flask API, On-Device AI},
  month = {May},
}
Copyright & License

Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.