AI-Powered Document Processing for a Legal Tech Firm

Built an end-to-end ML pipeline for automated legal document analysis, achieving 95% accuracy and 10x faster processing compared to manual review.

Client: Confidential (Legal Tech Industry)
Discipline: AI & Machine Learning

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.

Model Accuracy: 95%
Processing Speed: 10x
Cost Reduction: 80%