Since 2017, Taylor Wessing develops its own "Legal Tech Framework" with the support of Empolis and is based on available AI technologies. This framework is designed to create training data and model information for Taylor Wessing's various legal areas and processes. Classifiers and extractors for the recognition of document types, topics, legal clauses and specific content are created iteratively to form the foundation on which solutions for specific use cases are then implemented: From the recognition and highlighting of clauses up to automated contract evaluation.
In contrast to common market solutions, the data – which is the real value – remains completely in the hands of the company, which can also decide freely on the integration of desired functionalities.
In the lecture, the speakers will give an insight into the possible applications of the framework and explain in particular, why they have decided to develop their own product despite a growing range of legal tech solutions on the market.