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We are swimming in data.
According to IBM, we create 2.5 quintillion bytes of data every day. And it’s growing faster than ever. Ninety percent of the data in the world has been created in the past two years. And “The Internet of Things” will create even more without human intervention. All this data combined with the tight timelines required by litigation and regulatory investigations sometimes make document review projects impossible through traditional means; in some cases technological assistance is a must to hit the deadline. Add in the fact that predictive review has been proven to be more accurate, reduce cost and create balance between cost and benefit and it is difficult to justify a traditional human review process. But justify we do.
Automated processes and technology are commonplace around the world, but people are still reluctant to “let a decision be made by a robot.”
This bias is especially evident in lawyers, who have been trained to read, understand and analyze documents. However, this is not really what is required in a typical document review project. Document review, at least for responsiveness and privilege, is all about following rules.
So how do we get people to trust automation, when they refuse to do so in the face of overwhelming evidence?
The answer may be in by designing tools that not only make a call about each document, but also including a confidence level for each call that openly communicates when the system isn’t 100% sure how to apply the rules set by the user.
To learn more about how we can use confidence levels to gain trust in predictive review, please download the iCONECT White Paper, 4 Reasons Why They Say You Shouldn’t Use Predictive Review (Part 1).
Written by our 5i Solutions Inc. Partner, iCONECT
iCONECT Development, LLC is an industry leader in developing innovative legal review software and services that empower legal teams to complete complex review projects more cost effectively.
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