TheĀ Legal Tech Open Innovation Challenge saw legal professionals, technologists, data scientists and entrepreneurs from around the globe compete to create unique technology applications that provide high-value analytics to legal practitioners. Participants were given access to editorially-enhanced federal court dockets content, outside data, and the Thomson Reuters open-source company-identification system, PermID, to develop the new applications.

The winners were recently announced in a ceremony at Stanford Law School.

The winning entry was iHammurabi from Praescient Analytics of Alexandria, Virginia, won first place for their creation of iHammurabi. It leverages docket data to create a model predicting the likelihood for success of motions to dismiss before a specific judge in federal civil court based on key factors about the case.

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