http://ow.ly/9tXgl
An article by Sekou Campbell, Esq. posted on the sportslaw.foxrothschild.com website.
This article discusses predictive coding technology, and looks at a similar algorithm based technology that is being used to rank sports teams.
The article states, "Southern District of New York magistrate judge Andrew Peck recently weighed in on the issue in his Opinion and Order, which cites heavily to his article, “Search, Forward: Will Manual Document Review and Keyword Searches be Replaced by Computer-Assisted Coding?” He lauds the process of computer-assisted coding as a way to find relevant documents more accurately and efficiently in high-volume discovery cases. Computer-assisted coding, is a search based on a human review of a “seed set” of documents (a small subset of representative documents). Based on that “seed set” review, computer software creates an algorithm that analyzes the contents of the documents selected for data and metadata like time of creation, author, and program type. Once the algorithm is created, the computer can code documents for relevance based on how the “seed set” was searched (the existence of certain data in the context of certain metadata). On the back end, a human can test the relevance of randomly selected sample sets to ensure the algorithm produced an accurate search." A link to the referenced article is provided by the author.
The article goes on to describe the new method that is being used to rank teams based on their performance, in ways that differ from just looking at the team's final scores.
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