Enriched Active Learning is a data processing service featuring an iterative review methodology developed by ProSearch’s team of linguists and data scientists. By leveraging the power of statistical analysis and machine learning, we are able to greatly decrease your team’s workload while simultaneously increasing the accuracy of search terms.
The Power of Statistics
REDUCTION IN REVIEW POPULATION
How it works.
We start with the acknowledgment that every data set and therefore every search problem is unique. Our flexible process incorporates rigorous measurement of search terms, predictive scoring, and random sampling to understand the problem space and craft a solution that will effectively model responsiveness even in very low richness environments. And with our unique document enrichment techniques, your experts gain a deep understanding of responsiveness for review team training and disposition of your matter.