ARCHIVED CONTENT
You are viewing ARCHIVED CONTENT released online between 1 April 2010 and 24 August 2018 or content that has been selectively archived and is no longer active. Content in this archive is NOT UPDATED, and links may not function.By Benjamin Kennedy
eDiscovery Tiramisu, a delicious metaphor describing the layers of search applied throughout the eDiscovery process. If you’ve been involved in discovery in matters with electronic documents, you’ll have tasted the usual flavours: requesting documents directly from key people, running Boolean searches and undertaking subjective review to separate the yolk from the white. My recipe adds an additional layer (perhaps the tastiest) to the eDiscovery treat, Technology Assisted Review (TAR) and its evolution to Continuous Active Learning (CAL). A mouth-watering moreish mouthful!
What is TAR and why is it in my dessert? TAR is the process of training a computer algorithm to classify documents by learning from samples of documents reviewed by an expert. The premise being relevant documents have similar characteristics and irrelevant documents have different characteristics. Once the characteristics are understood the algorithm can assess other documents and can measure how close (or far away) they are from documents in the sample.
Read the complete article at My Favourite eDiscovery Tiramisu Recipe