Legal Robot uses machine learning techniques like deep learning to understand legal language, then compare the language with other contracts to identify boilerplate vs. custom, measure the complexity and readability of the language, and identify the responsibilities, rights, and terms of an agreement. The information is presented in a way that encourages exploration of the contract in a way that is far more interesting and understandable than legal language. This allows people to quickly interpret the components of the contract, quantify specific risks, as well as identify and resolve defects so people can be more confident in what they sign. This will be added to Business Intelligence Resources Subject Tracer™. This will be added to Entrepreneurial Resources Subject Tracer™. This will be added to the tools section of Research Resources Subject Tracer™.
posted by Marcus Zillman |
1:39 AM
