Predictive Coding’s Ripple Effect
There’s always a new video going viral. The best ones are often talked about over the office water-cooler, making the participants overnight sensations. Consider 5-year-old Noah Ritter of Pennsylvania. He was merely interested in the super slide at his county fair, but when a local news crew asked him how the ride was, his adorable interview immediately went viral, garnering more than 3 million views on YouTube. That single video sent a ripple effect through the internet (and likely his personal life), and his interview was featured in articles and news outlets as far away as India and earned him a spot on Good Morning America. And now, for the crème de la crème, his name even graces this fine blog.
This ripple effect of popularity got me thinking about predictive coding (no surprise there). Predictive coding certainly made a splash when the first Federal court approved its use in litigation in Da Silva Moore v. Publicis Groupe. But since then, savvy practitioners have seen predictive coding as more than a discovery tool and have devised new uses for this powerful technology. The idea of incorporating machine learning and predictive coding into everyday business tasks is not far-fetched. This ripple effect of predictive coding can be seen in many areas, but there are three specific areas where the ripple effect will likely soon be a wave.
First, early use of predictive coding can be used to narrow the scope of discovery and refine the precision of collection. In addition, using predictive coding in this way can effect settlement. Incorporating predictive coding into EDA creates value that at least one court has already recognized.
Second, predictive coding can be used as a compliance tool. Predictive coding is a natural way to assess and detect risk patterns, and stop them from developing further. Therefore, predictive coding software could be trained to comb through all of an organization’s information to detect potential risks and enable counsel to take immediate corrective action.
Finally, predictive coding can be used to combat the trials of information governance. Predictive coding can be and should be implemented in record retention policies. Predictive coding can identify which documents should be kept – and those that can be defensibly deleted. As more and more businesses become bogged down by big data, a smarter, more automated approach to record retention will be the future of information governance.