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Legal Document Analyzer

The AI-powered Legal Document Analyzer stands out as a beacon of simplicity when legal papers are growing increasingly complex. With the help of Natural Language Processing (NLP), especially Large Language Models and State-of-the-art methodologies such as Parameter Efficient Fine-Tuning Techniques (PEFT) like Quantized Low-Rank Adaptation( QLoRA) and Retrieval Augmented Generation (RAG), we intend to help people classify legal documents, identify important entities and clauses, and generate easily understandable summaries in plain English. The main idea is to bridge the gap between complex legal papers and layman's comprehension by giving the most important information in an easy-to-understand way.

Keywords: NLP, Machine Learning,Natural Language Processing
Tools: Python, Langchain,LLMs,Streamlit,Huggingface
Department: Department of Computer Science

Project Team Members

Name Email
Muhammad Hammad Sani hammadsani2019@namal.edu.pk
Muhammad Farhan Khan farhan2020@namal.edu.pk

Project Poster

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