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LexAI

Project Team

The following students are participating in this group project:

• Hassan Alkhafaji
• Ayaan Amir
• Mirshod Sobirov
• Sara Al-Hachami
• Leah Hashwi

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Project Description

Overview

LexAI is an AI-powered legal assistant chatbot designed to help users quickly access and understand up-to-date legislative information. The system integrates real-time public policy data (such as state bills) with modern natural language processing to deliver relevant, context-aware responses.

At its core, LexAI retrieves legislative data from external APIs, processes and structures it, and stores it as vector embeddings for efficient semantic search. When a user asks a question, the chatbot leverages these embeddings to retrieve the most relevant legal information and uses a large language model to generate clear, conversational answers.

The platform is built with a scalable backend pipeline for data ingestion and embedding, combined with an AI model hosted in the cloud and a user-friendly mobile interface. LexAI aims to simplify legal research, making complex legislative information more accessible to everyday users.

Technical Architecture

• SwiftUI
• Firebase, Python, Swift Combine
• Runpods, Pinecone

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