Guest Post: Predictive Coding, You’re Already Using It, Now Apply It To Your Cases…

Tech Law Crossroads
This post was originally published on this site

By Rich Smith

Technology assisted review (predictive coding) for ediscovery still strikes fear in the hearts of many lawyers. Indeed, in the last ABA Legal Technology Survey (2018) only 12% of the respondents reported using predictive coding to process or review e-discovery materials.  Many reported  significant concerns about cost and the validity of the process.

In the following Guest Post, Rich Smith discusses the use and advantages of technolgy assisted review and dispels many of  the concerns about use. 

Rich Smith is a Senior eDiscovery Consultant for Page One Legal. With 7 years of legal technology experience, Rich will be happy to discuss your current technology needs and help craft a vision to be more successful with your practice. He can be reached at: rsmith@pageonelegal.com or 502.376.5829. Page One Legal handles all aspects of eDiscovery and Digital Forensics. With 13 years experience, they provide eDiscovery platforms with both Relativity and Relativity One.”

I would like to thank Rich for his willingness to publish his article on this site. I welcome guest post submissions from responsible authors on topics of interest to this site’s readers. Please contact me directly if you would like to submit a guest post. Here is Rich’s guest post.

Lawyers fear technology.

However, SUCCESSFUL lawyers are EMBRACING technology.

THE MOST SUCCESSFUL lawyers are utilizing technology to assist them, especially during review of large amounts of documents.

Wait…technology…assisted…review? T.A.R.? Hmm, isn’t that sometimes called, “predictive coding”?

YES!

Predictive coding is the automation of document review. This typically works by taking information gained from manual coding and automating that logic to a larger group of documents. Reviewers use a set of documents to identify potentially responsive documents and then train the computer to identify similar ones.

Basically, the machine is learning and studying you during review so it