AI Document Processing System
The Challenge
The firm's team spent 40+ hours per week manually reviewing, classifying, and extracting data from thousands of legal documents. The process was slow, error-prone, and couldn't scale with growing case volume.
Our Solution
Bella Tech built a custom AI platform using NLP and large language models to automatically classify documents, extract key entities (dates, parties, clauses), and generate case summaries. We implemented a RAG architecture with LangChain for context-aware extraction, a FastAPI backend for processing pipelines, and a React review interface for human-in-the-loop validation on edge cases.
The Results
Document processing time was reduced by 85%. The team reclaimed 30+ hours per week. Extraction accuracy reached 96%, and the firm was able to take on 40% more cases without adding headcount.