Abstract: Lawvia AI is an intelligent legal assistance and document analysis platform designed to improve legal awareness and accessibility. Users such as students, employees, and tenants often face legal issues including harassment, cybercrime, and rental disputes without adequate guidance. The system accepts text or voice input and applies Natural Language Processing (NLP) to identify the legal context. A BERT-based transformer model embedded in the chatbot performs legal intent and domain classification, enabling simplified explanations of relevant laws and recommended actions. Lawvia AI includes a Complaint Draft & Action (DocuAction) module for generating structured complaint letters with options to download or forward them to external authorities, and a Legal Support (LegalAid+) module that provides access to nearby legal aid resources. The platform also supports document risk analysis, where uploaded legal documents are processed using Optical Character Recognition (OCR) and NLP-based keyword mapping to detect risky clauses and generate simplified summaries. Additionally, the ESpace authority-routing module assigns complaints to appropriate internal authorities based on severity. The system is implemented using ASP.NET with C#, integrates Python-based NLP components, BERT models, LLM APIs, and SQL Server, offering a modular and socially impactful legal assistance solution.
Keywords: Legal Assistance, Document Risk Analysis, Natural Language Processing (NLP), Machine Learning (ML), Complaint Letter Generation, Authority Routing.
Downloads:
|
DOI:
10.17148/IJARCCE.2026.151146
[1] Jayakrishnan U V, Aparna Prakash, R Govinda Sivam, Anas N S, Alfie G Anil, Ancey Varghese, "Assistant Professor, Computer Science & Engineering Department, St. Thomas Institute for Science and Technology, Trivandrum, India," International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2026.151146