In large civil litigation and regulatory cases, the discovery process is becoming increasingly automated, scientific, and objective. This is evident by the increasing use of “predictive coding.”
Predictive coding are the new e-discovery buzzwords. Articles about the benefits of predictive coding have appeared in Forbes magazine and The New York Times. In mid-2011, one company announced a patent for the technology, sparking a war of words in the e-discovery press.
Let’s start with what predictive coding is not. It is not the “eyes on every document” approach of traditional linear review, where a lawyer starts with the first document and looks at every collected document until every document is reviewed. That approach works well when there is a small amount of documents or in circumstances that require human eyes on every page. However, that approach becomes unwieldy and expensive when hundreds of thousands or millions of pages require review.
Predictive coding remains poorly understood because it is not just a technology but also a project management technique. Predictive coding is a series of computer search and sampling technologies, coupled with a new approach to searching for and reviewing potentially responsive documents. Properly combining all of these elements permits expedited, cost-effective, and highly accurate document review. Lawyers who use predictive coding need to understand how to combine these elements. It’s not necessarily the technologies that are indefensible — just certain uses of them. Judges need to learn to recognize when their use has been or will be ineffective.
Predictive coding has been described as lawyer-driven, computer-assisted document review. At its most basic, it is a form of automated document review; but strictly understanding it this way is to misapprehend the role predictive coding technology plays in searching for and retrieving potentially relevant documents. Predictive coding groups and organizes potentially relevant documents in a way that permits human reviewers to maximize their review time and look at potentially related matters together. I prefer to think of predictive coding not as review technologies, but as search retrieval and information organization technologies applied to the discovery review process.
To Continue Reading: Click Here
------------------------------------------------------
Source: canadianlawyermag.com
By: Dera J. Nevin
Predictive coding are the new e-discovery buzzwords. Articles about the benefits of predictive coding have appeared in Forbes magazine and The New York Times. In mid-2011, one company announced a patent for the technology, sparking a war of words in the e-discovery press.
Let’s start with what predictive coding is not. It is not the “eyes on every document” approach of traditional linear review, where a lawyer starts with the first document and looks at every collected document until every document is reviewed. That approach works well when there is a small amount of documents or in circumstances that require human eyes on every page. However, that approach becomes unwieldy and expensive when hundreds of thousands or millions of pages require review.
Predictive coding remains poorly understood because it is not just a technology but also a project management technique. Predictive coding is a series of computer search and sampling technologies, coupled with a new approach to searching for and reviewing potentially responsive documents. Properly combining all of these elements permits expedited, cost-effective, and highly accurate document review. Lawyers who use predictive coding need to understand how to combine these elements. It’s not necessarily the technologies that are indefensible — just certain uses of them. Judges need to learn to recognize when their use has been or will be ineffective.
Predictive coding has been described as lawyer-driven, computer-assisted document review. At its most basic, it is a form of automated document review; but strictly understanding it this way is to misapprehend the role predictive coding technology plays in searching for and retrieving potentially relevant documents. Predictive coding groups and organizes potentially relevant documents in a way that permits human reviewers to maximize their review time and look at potentially related matters together. I prefer to think of predictive coding not as review technologies, but as search retrieval and information organization technologies applied to the discovery review process.
To Continue Reading: Click Here
------------------------------------------------------
Source: canadianlawyermag.com
By: Dera J. Nevin
0 comments:
Post a Comment