Case Study: a U.S.-based online retailer reduces document review by 89% with Canopy Software

Canopy Reduces Review Population by 89%, Saving Response Team 2,000 Hours

A U.S.-based online retailer faced a significant challenge after a business email compromise exposed 186,479 documents. Their incident response team initially used traditional ediscovery methods, which inaccurately flagged nearly 90,000 documents for review, threatening to consume excessive time and budget. Seeking a better approach, the project lead enlisted Canopy's Data Breach Response software to address the problem.

Canopy's solution utilized advanced machine learning models to accurately detect and validate over 70 types of PII, dramatically improving accuracy by ignoring false positives like dummy social security numbers. This allowed Canopy to reduce the document review population by 89%, from 90,000 to just 10,106 documents. The result was a massive time savings for the retailer, as Canopy's precise targeting eliminated nearly 2,000 hours of unnecessary document review work.