Legalicity is a legal technology startup based in Toronto.
We are lawyers, scientists, and engineers who have deep expertise in both Artificial Intelligence and law.
Our mission is to build great products that save you time and money and help you work smarter.
We are creating the next generation of patent tools.
NLPatent is a new online tool that uses Artificial Intelligence to reduce the uncertainty involved in applying for a patent.
Patents are valuable business assets. They can be a great way to protect what you've created. But getting a patent is very costly and time-consuming. We use state-of-the-art Machine Learning and Natural Language Processing (NLP) techniques to evaluate the patentability of new ideas. This helps companies and inventors decide whether an invention is worth pursuing.
We write about our startup journey.We've launched a new publication, Legalicity Buzz (lgc.buzz), where we highlight and comment on important developments in the world of legal technology, intellectual property, Artificial Intelligence, and entrepreneurship in general.
We share our insights and experiences as we continue to grow and innovate.
Yaroslav Riabinin is an intellectual property lawyer with a Master's degree in Computer Science from the University of Toronto. His research in Artificial Intelligence was the basis for several publications, including a chapter in a book. He has worked at two prominent Canadian IP firms, with a focus on drafting and prosecuting patent applications in the high-tech field, such as mobile devices and machine learning. Yaroslav has years of experience as a software developer and is passionate about technology both as a user and a creator.
Stephanie Curcio is an intellectual property lawyer with experience prosecuting and enforcing patents, particularly in the life sciences. She has a Bachelor's degree in Neuroscience from the University of Toronto. Before Legalicity, she was an IP associate at a leading Canadian law firm, advising clients on patentability, validity, infringement and freedom-to-operate issues. Stephanie has written a number of articles on developments in intellectual property law relating to emerging technologies, and is actively involved in Toronto’s technology community.
Professor Yang Xu is a scientific advisor to Legalicity and teaches at the University of Toronto in the Department of Computer Science. His research in Natural Language Processing and Machine Learning is directed towards understanding and constructing the human lexicon. In particular, Professor Xu is interested in how word meanings are structured and conceived over time. He provides guidance on Legalicity's ongoing R&D efforts and supervises research interns.
Chenfei Wang is a research intern at Legalicity with a Bachelor's degree in Electrical & Electronic Engineering from Nanyang Technological University in Singapore. He is currently pursuing a Master's degree in Applied Computing at the University of Toronto with a focus on Machine Learning and Natural Language Processing. Chenfei has experience in product engineering, software development, and applied research. At Legalicity he works on exploring cutting-edge methods of predicting the success of patent applications.