Using our «Expert Systems» for automated issue coding (also
called predictive coding) makes a huge difference to plaintiffs» counsel in terms of cost, quality and time spent for high - volume document review projects.
This is
called predictive coding or technology aid review (TAR).
Others in the e-discovery industry
call it predictive coding or technology assisted review (TAR).
Not exact matches
The third, continuous active learning (CAL), is a central part of a newer approach to
predictive coding, which we
call TAR 2.0.
Predictive Analytics (also
called «
Predictive Coding» or «Technology Assisted Review») is a workflow that requires a subject matter expert to review a small subset of documents in order to train the system on what the human is looking for until the system can statistically «predict» how the human would
code the rest of the collection.
Whether we
call these software programs «
predictive coding,» «technology - assisted review» or something else entirely, how do you know that they are right for you as a cautious and risk - averse in - house lawyer?
And that among these large firms more than twice as many will charge their clients for photocopies and «long distance phone
calls» (really) than incorporate cost - saving strategies like
predictive coding for electronic discovery or document assembly software for contract drafting.
EDI was formed to determine if these so -
called state - of - the - art
predictive coding discovery platforms are all they're cracked up to be.
TAR, or
predictive coding as it's sometimes
called, is a technology and a process that involves a subject matter expert (a.k.a. human)
coding documents as responsive or non-responsive.
Using
predictive coding / technology assisted review / whatever it is
called, is faster, more accurate and a heck of a lot cheaper than human review.