Technology assisted review
The ayfie text analytics platform sits behind some of the most advanced Technology assisted review (TAR) platforms in today's eDiscovery marketplace. ayfie is not another "AI" tool; we go beyond artificial to extract meaning and context from electronically stored data (ESI), then present reviewers with highly actionable, organized information. No matter the size of the dataset, with ayfie, unstructured content has met its match.
Early case assessment
A thorough, defensible work product begins with an organized content corpus. ayfie's ability to extract and utilize both entities and terminology from documents makes it uniquely suited to cull massive datasets and allow reviewers to focus their efforts efficiently.
ayfie's text analytics engine can turn your platform into a must-have for organizations with massive amounts of contracts. Structure key information, identify potential problems, and even add pre-vetted clauses on the fly. We have the tools to help you expand beyond the eDiscovery "basics."
Continuous Active Learning
The Continuous Active Learning (CAL) method is similar to an online retail store making product recommendations based on a user’s previous product selections. Users review and tag a small portion of the data set in a Google-like search experience which is used to train the ayfie CAL module powered by Sentio. The prediction engine is a mathematical model and orders data from most-to-least relevant. With each new document tagged, the model becomes more accurate.