AI Lawyer is an intelligent reasoning legal assistant powered by DeepSeek , Ollama RAG and LangChain, designed to streamline legal research and document analysis. By leveraging retrieval-augmented generation (RAG), it provides precise legal insights, and contract summarization. With an intuitive Streamlit-based UI, analyze legal documents.

The 1st place Solution of Legal Document Summarization Competition

Dataset for cross-lingual legal text summarization from EUR-Lex document summaries

This project involves code for summarization of legal documents with a two step process. First we fine-tune the llm for legal documents using a big check and Indian cases and their summaries using LoRA and then we use RAG for better in context examples.

Longformer Encoder Decoder model for the legal domain, trained for long document abstractive summarization task.

Law Ecosystem is an AI-powered multilingual legal assistant designed to make legal aid accessible and understandable for everyone. It offers instant legal advice in various languages, analyzes and summarizes complex legal documents, helps build arguments with AI suggestions, and facilitates seamless tele-appointments with lawyers.

An AI-powered system for extracting and summarizing key legal information from complex legal documents using advanced Natural Language Processing (NLP) techniques. This project utilizes SpaCy for preprocessing and entity extraction, and Sumy for text summarization, to generate concise summaries of lengthy legal texts.

An AI-powered contract analysis tool that summarizes documents, highlights risky clauses with AI suggestions, and provides relevant legal case studies for faster, smarter reviews.

🏆 1st Place Winners At CalHacks 2019 - Cosine, a web app that helps summarize legal documents, determines where users spend the most time and which parts they skip by generating heat maps, and provide meaningful insights to the signer and the sender.

2021 AI Online Competition - Legal Document Summarization

Implementation of BART model pretraining and fine-tuning in the context of Dutch legal document summarization.

The Legal-Doc-Summarizer repository is a Streamlit-based application that leverages OpenAI's API to process legal documents and generate concise summaries..

Generative AI Apps Practices – A curated suite of hands-on generative AI projects showcasing best practices in prompt engineering, code repository interaction, legal document summarization, and financial statement analysis.

Legal Chatbot | AI-powered chatbot for retrieving and summarizing legal information from Indian litigation & corporate law documents. Built with LangChain, OpenAI, FAISS, and Streamlit.

Code for NLLP workshop paper: Computing and Exploiting Document Structure to Improve Unsupervised Extractive Summarization of Legal Case Decisions

Legal Document Summarizer and Clause Extractor

BERT-based extractive summarizer for long legal document using a divide-and-conquer approach

Lawgpt is an AI-powered legal document generator that helps users generate legal documents in multiple languages and summarize case judgements. With the power of OpenAI API key, Lawgpt explains legal laws and provides summarized responses .

AI Legal Documentation Assistant: An advanced web application for legal document analysis and query handling. Users can upload or scan documents to extract and summarize content using AI. Features interactive document drafting, analysis, and a user-friendly interface for legal research and query resolution.

A abstractive text summarizer designed in Pytorch to summarize complex Terms and Conditions articles. Leveraging the T5-Small language model, it accurately condenses legal documents into concise summaries. Deployed using Flask scaled using Docker

A multi-agent AI legal assistant for Malaysian Civil Cases, developed as a Final Year Project (FYP). Features intelligent document analysis, legal research, summarization, and prediction using advanced LLMs, vector search, and a Gradio web interface. Supports PDF/image uploads, semantic memory, and comprehensive evaluation with LLM-as-a-Judge.

Legal Documents Summarization

Legal Document Summarizer Project for QMIND

This NLP project focuses on summarizing a legal document using Transformers, by making sure to preserve the legal context and nuances in the document

Transformer-Based Framework for Multi-Document Summarization of Turkish Legal Texts with Ensemble Enhancements

This AI-powered system uses deep learning to analyze legal documents. It helps lawyers by automating tasks like information extraction, risk identification, and summarization, saving them time and improving accuracy.

Legal Query AI Assistant is a chatbot that leverages LLMs like OpenAI GPT and LLaMA, with RAG to retrieve and summarize legal documents efficiently.

AI-powered tool that automates legal document summarization and provides legal Q&A assistance using GPT-4o mini and Natural Language Processing (NLP). This project helps legal professionals save time by extracting key insights from contracts, case files, and other legal documents at a low cost.

Streamlit-based app that summarizes and answers questions about Arabic legal documents using LangChain, Gemini, and OCR for scanned PDFs.

Daksha is an AI-powered legal assistant designed to help users understand and analyze legal documents efficiently. Built using cutting-edge natural language processing (NLP) techniques, Daksha can extract key insights, summarize complex clauses, answer legal queries, and enable chat-with-document interactions for faster legal review and decision-ma