PORTFOLIO

Legal teams are more overloaded than ever. They suffer from slow processes and inefficiencies, largely due to the fact that their work requires them to read and process huge volumes of documents every day – a repetitive and error-prone task. Founded by four ETH Machine Learning PhDs, with over 20+ years of combined experience with Deep Learning and Natural Language Processing at scale, DeepJudge developed a legal document understanding platform that enables law firms and legal departments to search through millions of documents and easily accomplish some of the most tedious, yet mission-critical tasks in legal practice. Our search engine is context-aware – it understands the meaning of the search query, rather than simply parsing documents for keywords. This is the magic of our technology and what sets us apart from all existing search tools. We expect to dramatically improve the efficiency of legal research and knowledge retention in law firms and legal departments by integrating our revolutionary semantic search engine into their workflow and fine-tuning our AI to every customer’s needs.

DeepJudge is an ETH Spin-off supported by the ETH AI Center. We have developed a powerful and intuitive context-aware search engine which understands the semantics of legal documents and unstructured text. It can be used as an assistant to lawyers for various manual repetitive tasks in order to boost. We have deployed our search engine at several leading Swiss law firms and legal departments in the form of paid pilots and aim to use all insights gathered in the pilot projects to turn our search engine into a SaaS product ready to be rolled out at scale. The most notable milestones in this direction are integration with document management systems as well as fine-tuning our AI on customer data. We are currently establishing further high-impact partnerships in the industry and the public sector.