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Large Scale Legal Document Classification
Significant automation of the company's most labour intensive activity.
Goal
Introduction: Discover how AI-driven solutions are streamlining the legal document classification process for SMEs in Belgium, automating labor-intensive tasks, and enhancing accuracy and efficiency.
Objective: The goal was to develop a machine learning engine capable of automatically classifying legal documents across various dimensions, extracting relevant information from the documents, and ultimately streamlining the company's operations.
Impact: The implementation of this AI-driven solution has led to significant automation of the company's most labor-intensive activity. The model outperforms the human benchmark in classification metrics while reducing the time required to classify documents by orders of magnitude. By leveraging this advanced technology, the model frees up the equivalent of one full-time employee (FTE) each month.
Every month the model would free up: 1 additional FTE
Challenges: The primary challenge was to accurately classify documents on four dimensions, including case type and winner. The legal documents, originating from various courts and legal systems worldwide, were machine-readable after undergoing OCR processing but were written in multiple languages, adding complexity to the classification process.
Solution: A tailored model factory was developed, training a unique model for each language, court, and class dimension. This approach fine-tuned the system to accommodate specific legal systems, languages, and other variables, enhancing overall performance.
Technical Highlights: The model factory automatically optimizes the hyperparameters of the entire machine learning pipeline. It estimates performance and performance stability, adjusts manual review flag thresholds to ensure minimal performance is achieved, trains the model, and prepares it for deployment, streamlining the legal document classification process for SMEs in Belgium and beyond.
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Large Scale Legal Document Classification
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