The Challenge

Spellbook wanted to build an AI assistant that could analyze legal contracts, suggest clause modifications, and generate compliant documents — all in real-time within a lawyer's existing workflow.

They needed a team fluent in LLM integration, document processing, and enterprise-grade security.

What We Built

AI Document Engine

We built a multi-model AI pipeline:

• Contract Analysis — GPT-4 + custom fine-tuned models for clause extraction and risk scoring
• Smart Suggestions — context-aware clause recommendations based on jurisdiction and contract type
• Document Generation — template-based generation with AI-powered customization
• RAG Pipeline — retrieval-augmented generation using a vector database of 100K+ legal precedents

Chrome Extension + Web App

• Google Docs integration — inline suggestions while drafting contracts
• Risk dashboard — visual risk scoring across all active contracts
• Clause library — searchable, AI-tagged repository of approved clauses
• Collaboration — real-time multi-user editing with change tracking

Security & Compliance

• SOC 2 Type II compliant architecture
• End-to-end encryption for all document data
• Role-based access control with audit logging
• Data residency controls for multi-jurisdiction compliance

Tech Stack

• Frontend: React, TypeScript, Chrome Extension APIs
• Backend: Python (FastAPI), Node.js
• AI/ML: OpenAI GPT-4, LangChain, Pinecone (vector DB), custom fine-tuned models
• Database: PostgreSQL, Pinecone, Redis
• Infrastructure: GCP, Cloud Run, Vertex AI

Results

Spellbook's AI assistant is now used by 200+ law firms and was featured in TechCrunch as a breakout legal-tech product.