Today, 2.5 exabytes of data are being produced daily. That number is expected to grow to 44 zettabytes a day by 2020 (Source: GigaOm). This data, along with interconnectivity, correlation, predictive analytics and machine learning, provides the foundation for our AI-powered future.
We are entering the second wave of the jobs automation process, Automation 2.0. We’ve seen predictable, repeatable, physical tasks (think forklifts on the factory floor or assembly-line work) be automated. But now, just as the recruiters predicted, automating the next wave of cognitive work (think diagnosing diseases or reviewing legal documents) will prove much more difficult, slowing the process until we figure out how to do it.
The biggest takeaway of the joint research project by nonprofit Electronic Discovery Institute and tech giant Oracle Corp. is that TAR is often faster and cheaper when identifying relevant documents. But when it comes to isolating privileged or sensitive information, human reviewers outperformed machines.
Watching AI with higher intelligence than your own, intelligence which you created by your training, is exciting. More than that, the AI you created empowers you to do things that would have been impossible before, absurd even.
“It’s really the first complete offering of what we call data discovery from the point of creation.”
It remains uncertain how American jurists will weave proportionality analyses into their decision making. It may depend upon how the allegedly “more proportionate” approach is presented.
Although presented as sequential steps for pedantic purposes, Predictive Coding 4.0 is highly adaptive to circumstances and does not necessarily follow a rigid linear order.
Provided for your review and use is the complete presentation slide deck from the recent Masters Conference keynote panel on automation in eDiscovery.
There are currently three technological enablers of work automation: robotic process automation, cognitive automation, and social robotics.
The predictive coding method can fail spectacularly with a poor expert, but so can keyword search.