Upload the text of a nondisclosure agreement to NDA Lynn, and it will warn you if it spots common traps used to harm signatories.
How can a robot review an NDA?
As it turns out, NDAs are in essence very limited in their scope: certain information is to be exchanged for a given business purpose, and this information is to be kept confidential for a certain period. This limited scope makes them well-suited to automated analysis. There are after all only so many ways to say that information must be kept confidential and that leaks shall be judged by a court in California. Hence: NDA Lynn, an automated legal analysis employing support vector networks and other machine learning technology to answer that simple business question: “Can I sign that NDA?”
It’s fascinating leverage of contracts’ general dependence on rigid, courts-tested language, and a tool for spotting bad ones out of the gate. But I wouldn’t use it to validate NDAs as good. Always get competent advice when money and consequences are on the line. (NDA Lynn is, of course, a lead generator for a human lawyer who specializes in the IT field.)