San Francisco-based software company Ravel hopes to simplify that most tedious aspect of law: legal research. The company, which began as a course project in Stanford’s Institute of Design, developed a versatile tool that lets users search a database of more than 5 million cases, visualize the citation relationships between cases identified as relevant to the query, and filter procedural language from cases’ text to simplify reading. The software integrates natural language processing, text analysis, and network analysis algorithms. Ravel’s creators note that their software was made possible by the recent push to make case law data freely available and machine readable online.
Visualization Tool Could Help Lighten Legal Researcher Workloads
Travis Korte is a research analyst at the Center for Data Innovation specializing in data science applications and open data. He has a background in journalism, computer science and statistics. Prior to joining the Center for Data Innovation, he launched the Science vertical of The Huffington Post and served as its Associate Editor, covering a wide range of science and technology topics. He has worked on data science projects with HuffPost and other organizations. Before this, he graduated with highest honors from the University of California, Berkeley, having studied critical theory and completed coursework in computer science and economics. His research interests are in computational social science and using data to engage with complex social systems. You can follow him on Twitter @traviskorte.
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