Legal documents are often too complicated for the average person to easily comprehend. Some hire a lawyer. Others may skim the documents, or even ignore a document’s content, hoping that somehow everything will work out. Some are overconfident about their ability to understand the documents. Deep learning can help.
“We built a legal language model that allows us to translate legal language into a big string of numbers. We’re using deep learning and topological data analysis, which is sort of a dark corner of geometry,” said Dan Rubins, founder and CEO of Legal Robot, in an interview. “A lot of techniques have been developed for natural language processing on normal language, but there’s nothing natural about legal language.”
In addition to translating legal language into plain language, Legal Robot can determine what’s missing from a contract and whether there are elements in a contract that shouldn’t be there, such as a royalty fee section in a non-disclosure agreement. When it comes to contracts, there is often a disparity of bargaining power between the parties, such as between a payday lender and lendee, or between a corporation and an individual. Because contracts usually contain a lot of complicated language, people often agree to terms and conditions that favor the other party.