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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CONTENT released online between 1 April 2010 and 24 August 2018 or content that has been selectively archived and is no longer active.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.Extract from article by Ralph Losey
One note of caution: most e-discovery vendors, including several prominent software makers, still do not follow the hybrid multimodalPredictive Coding 3.0 approach that we use to attain these results. They instead rely entirely on machine-selected documents for training, or even worse, rely entirely on random selected documents to train the software, or have elaborate unnecessary secret control sets. On the other end of the spectrum, some vendors use all search methods except for predictive coding, to keep it simple they say. It may be simple, but the power, speed, quality control and just plain fun given up for that simplicity are not worth it. The old ways are more costly because they take so much lawyer time to complete, they are less effective, and, they are boring. The use of AI data analytics is clearly the way of the future. It is what makes document review enjoyable and why I love to do big projects. It turns scary to fun.
Read the complete article at Why I Love Predictive Coding