Smart-Aleck
GROWTH
Lancer:
<= 2 resources OR <=3 weeks effort OR <=$3000 USD
Growth:2 - 4 resources AND upto 4 months OR
upto $30000 USD
Enterprise:Everything else
(Development)
Project Description
Smart-Aleck is an AI-based legal assistant designed to help users navigate Georgia law. The application leverages a combination of retrieval and generation techniques to provide accurate, context-aware responses to natural language queries. By drawing on a comprehensive knowledge base built from official legal resources, Smart-Aleck delivers reliable legal insights tailored to user needs.
Scope Of Work
The client approached Oodles to develop a Retrieval-Augmented Generation (RAG) bot capable of interacting with users in natural language. The goal was to scrape legal data from Georgia law sources, structure it into an efficient vector database, and enable the bot to retrieve and augment this information using a generative model. The system needed to deliver precise and user-friendly responses rooted in real legal references.
Our Solution
To fulfill the client's requirements, Oodles delivered a fully functional RAG-based legal assistant with the following features:
- Web Scraping Setup: Extracted and parsed legal texts from verified Georgia law sources.
- Vector Database Integration: Created an organized knowledge base using Pinecone vector DB to store legal document embeddings.
- Query Processing Pipeline: Built a pipeline that processes user queries, converts them into embeddings, and retrieves relevant documents from the vector database.
- AI-Generated Responses: Developed a natural language generation system that combines retrieved legal content with GPT-powered insights to produce accurate, contextual responses.