Law Law: Legal Question Answering Bot

Project Overview

The Law Law project aimed at developing an intelligent question and answer bot capable of handling legal-like queries. The project utilized a Seq2Seq model in PyTorch, where the encoder was constructed with a two-layer bidirectional Gated Recurrent Unit (GRU) and the decoder with a two-layer unidirectional GRU.

Key Features

• Seq2Seq Model: Adopted a Sequence to Sequence model architecture to generate accurate and contextually relevant answers to legal-like questions.
• Advanced RNN Architecture: Employed GRUs in both the encoder and decoder to efficiently capture the temporal dependencies in the question-answer pairs.

Repository

For further insights into the project’s design, implementation details, and outcomes, refer to the GitHub repository: Law Law Project Repository.