Posts Tagged: "predictive analytics"

Artificial intelligence (AI) is no longer a plot point in futuristic sci-fi novels and films. In many aspects of our lives, machines are increasingly performing tasks previously handled by human intelligence. The current and potential applications of AI span a breadth of industries… Whether it’s patent search, online advertising or aviation, AI helps by acting as a multiplier for human function and creativity. As humans continue to innovate, producing an overwhelming amount of work which translates into an incredible amount of data, AI will be the key to decoding and uncovering necessary information.

As anyone who’s worked at a law firm can attest, lawyers at a firm use each others’ experience to inform their strategy in a given case. Firm-wide emails asking if anyone has appeared in front of a particular judge or tribunal are routine and allow lawyers to benefit from the insights their colleagues provide. Big data analytics allow lawyers to gather this same information, but on a much larger scale. For instance, analytics platforms allow attorneys to view their judge’s complete history, including every decision issued and every case cited, to identify the legal precedent the judge finds most persuasive.

The disparity between the art units is confused even more so when we consider the total number of Alice rejections in each art unit, rather than just counting the total number of applications receiving an Alice rejection. Doing that, we can see that, while 3622 and 3623 have almost equal numbers of applications with Alice rejections, 3623 actually has more in total. This means that applications in that art unit are more likely to receive multiple Alice rejections and take longer to prosecute.

Data mining and predictive analytics designed to enhance the decision making process for law enforcement officials have been utilized in Richmond, VA, for more than a decade now. These techniques can provide police officers with predictions of high crime areas that can be reviewed prior to starting a shift when used in conjunction with a geographic information system (GIS). Using this digital platform for predictive crime analytics, Richmond saw a greater than 20 percent reduction in major crimes between 2005 and 2006 while reducing its standing among the most dangerous cities in America. Similar data mining and analytics systems put in place by police in the city of Memphis, TN, have had a similar payoff, helping to reduce serious crime in that city by 31 percent in the four years between 2006 and 2010. That city’s Blue CRUSH predictive analytics system was developed in partnership with the University of Memphis’ criminal justice department using software developed by American tech giant IBM (NYSE:IBM).