Predictive Legal Document Classification System

Build an advanced Python-based machine learning system for automatically classifying and categorizing real estate legal documents with high precision. Develop a multi-stage classification framework using deep learning models that can automatically identify document types, extract key legal metadata, and generate structured, machine-readable representations of complex legal texts. Include advanced feature extraction and probabilistic classification techniques.