Monday, June 26, 2017
Ravel is analytical research, a new category of intelligent tool that combines legal research and analytics. Powered by expert legal knowledge, machine learning, and comprehensive caselaw from the Harvard Law Library, Ravel is built by digital natives for 21st Century practice.
Ravel enables lawyers to find what's important, understand why it's important, and put that information to use in the most persuasive way possible. In short, we turn legal information into legal insights.
Ravel's intuitive array of data-driven tools are built from the ground up for the hardest questions, transforming how lawyers understand the law and prepare for litigation.
I first heard of Ravel a year or so ago. I was particularly impressed by their Judge Analytics. They market the product as helping you "[u]nderstand how judges think, write, and rule." I think that description is spot-on. Judge Analytics allows you to find "cases, circuits, and judges your judge finds most persuasive" and "rules and specific language your judge favors and commonly cites." For appellate advocates appearing before an unfamiliar court, this is an incredibly important research tool. It is also useful for students applying for clerk-ships. It collects all of your judge research in one place.
I don't have a lot to say about Ravel's other features. I, personally, did not find Ravel's case research to be as useful, but that might be because I did not spend enough time reviewing it. The connections and graphs were a little too much for me. I suspect, however, that millennials might really like that feature.
Unfortunately, integrating Ravel into Lexis is going to take some time. When I called Lexis Advance to ask about the time frame, I was told that the integration would be complete in the first quarter of 2018. Congratulations to Lexis and Ravel--I suspect that this will be a great deal for both organizations.