AI-Powered Document Processing for a Legal Tech Firm
Client: Confidential (Legal Tech Industry)
Built an end-to-end ML pipeline for automated legal document analysis, achieving 95% accuracy and 10x faster processing compared to manual review.
95%
Model Accuracy
10x
Processing Speed
80%
Cost Reduction
The Challenge
The client's legal operations team was spending hundreds of hours manually reviewing contracts and regulatory documents, leading to slow turnaround times, inconsistent quality, and rising operational costs as caseloads grew.
Our Solution
We designed a custom NLP pipeline using transformer-based models for document classification, entity extraction, and clause analysis. The system was deployed with a robust MLOps pipeline on AWS SageMaker with automated retraining, model versioning, and real-time monitoring dashboards.