More Explanation of Predictive Coding
July 24, 2012
Predictive coding is the best thing to happen to eDiscovery since its conception, but it has been hard to find an article that goes into strict detail about how it works. Mondaq finally answered the call to explain how the litigation coding works in “Predicting the Future of Predictive Coding.” It first gives the prerequisite paragraph about what predictive coding is, uses an example of hand sifting through paper, and explains about cost savings.
Then it gets into the meat:
“A recent study by Rand Corp., which includes 57 case studies from eight large corporations, shows that the cost of e-discovery can be grouped into three main categories: collection, processing and review. Amazingly, the review phase accounted for 73 percent of the costs incurred during e-discovery. Predictive coding works to drastically reduce the number of documents that are manually reviewed by lawyers.”
The process typically works in this way. Lawyers review a small document sampling and code them according to subject matter or relevance. The litigation software then studies the sampling and applies it to a larger document set. Lawyers perform quality control checks to make sure the correct relevant documents are pulled up, drastically reducing manual searching and increasing accuracy. Predictive as an adjective is now doing more work than the previous favorite “big data.” My hyperbole radar is humming.
Stephen E Arnold, July 24
Sponsored by HighGainBlog
Comments
-
- Subscribe to Beyond Search
Feature archive
News archive
-
