CASE STUDY Payment Technology Company | Global
Payment Technology Company Leverages Custom AI and Machine Learning to Enhance CLM
Client Need
- Review and assess the existing CLM repository.
- Validate key contracts provisions.
- Improve spending adherence to contractual agreements.
- Increase accurate user adoption.
- Strengthen analytic insights from the current CLM platform.
- Change management support.
Client Solutions
Significantly increase CLM repository utilization by:
- Using Optical Character Recognition (OCR) powered by Machine Learning (ML) to extract contracts provisions from existing templates.
- Manually verifying and correcting extractions as necessary.
- Enhancing organization by adding metadata and reassessing contracts relationships.
- Reintegrating the verified data into the CLM system.
- Repeating the process using the saved models as needed.
Why Epiq
- Expertise in contracts analysis, AI, and ML.
- Access to proprietary AI and ML for contracts data migration, cleansing, and analysis.
- ~100 million extracted data points.
Results and Benefits
Trained 6 custom ML models for contracts integration.
Reviewed over 90K contracts.
Verified data is 95% accurate.
Used AI and ML to improve contracts metadata.