Our automated contract review helps you understand complex legal language and spot problems before you sign, without the time and cost of hiring an attorney.
Evaluate your contract against standards and across industries or jurisdictions, then collaborate with your team of legal professionals throughout negotiation.
Our algorithms assess fairness and risk so all parties can be clear on the terms and confident about what they are signing.
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 is used to benchmark and analyze any contract.
Legal Robot replaces traditional contract reviews and drafting 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.
Legal Robot gives you an instant error check for contracts and helps you write better legal documents. Our software breaks down legal language and explains it in a way we can all understand.
We start with advanced scoring on multiple scales including language complexity, legal phrasing, and enforceability. Based on these scores, our intelligent assistant suggests changes that improve readability, internal consistency, and compliance to standards and best practices.
Some situations require an attorney's specific knowledge and skill - in these cases, we help people collaborate with their legal team, or provide access to a network of legal professionals. Collaborative redlining tools and a clause & terms library expedite the negotiation and drafting processes - all along guided by Artificial Intelligence.
Legal Robot integrates with Enterprise Contract Management systems to help legal departments and auditors analyze an entire portfolio of agreements in minutes. Mitigate future legal expense by flagging agreements with risky language for renegotiation. Continuously monitor new agreements for unsafe language and non-standard terms.
We use statistical and 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 the contract.
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.
Legal Robot, Inc.