Our pre-screening technology works by first deploying a sophisticated language processing (NLP) engine developed in collaboration with Cambridge University. This allows us to understand the meaning of the words within an agreement. We can then ask and answer thousands of questions according to our Lexible framework to build a detailed picture of the obligations and rights within the agreement. All of this data is then summarized into clear, actionable advice.
Each property on Lexible is expressed as a question (e.g. Does the counterparty have a right to assign this contract to anyone?) ThoughtRiver’s pre-screening tool automatically determines which properties are relevant for your contract type and answers all associated questions for you. It then tells you how risky those positions are against your playbook.
Our Lawyers believe the best way to approach automated contract review is a combination of valuable legal intelligence coupled with advanced machine learning capabilities. By doing this we can accurately and consistently simulate the human contract review process. Aligning this with the universal Lexible framework allows our tool to access a larger amount of training data and make logical connections between clauses, increasing our accuracy while decreasing time to value for our users.
Pre-trained for core commercial agreements, straight out of the box
Infinitely extensible to cover any agreement type or point of meaning
Bespoke risk policies that are easily configurable to your needs
We support two core use cases. Pre-screening which is typically undertaken in the context of reviewing unsigned contracts, and exploration which is about extracting and analyzing data from a volume of signed contracts. Both use cases have many practical applications.
Learn how automated contract pre-screening technology can free up an in-house legal team to deliver strategic and commercial value to the wider business.