Legal Robot

Legal Robot uses machine learning to understand contracts. Snap a picture for instant analysis and write better contracts using AI.

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. Natural Language Understanding Legal Robot transforms complex legal language into numeric expressions, where statistical and machine learning techniques can derive meaning. We combine each layer to form higher level concepts from words to sentences to themes. Legal Robot continuously compares thousands of documents to build a legal language model that we use to continuously expand our legal language analysis. Artificial Intelligence Legal Robot enhances or entirely replaces traditional legal processes like contract reviews with an automated intelligent assistant. Using the legal language model, the intelligent assistant flags issues and suggests improvements by considering best practices, risk factors, and jurisdictional differences.

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