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Query-based legal information retrieval system

Clausehound has developed a cloud-based, legal document-drafting product for small businesses, which provides them with a lower-cost alternative to traditional legal providers. They have engaged Dr. Elnaz Delpisheh from Seneca’s School of Information and Communication Technology to advance the company’s query extraction & retrieval technology. Utilizing natural language processing and machine learning techniques, Dr. Delpisheh and her team will develop a well-structured knowledge library of law documents from which the queries will be retrieved. The result will improve retrieval accuracy rates and document parsing times.

Click here to hear our Research Assistants talk about their experience on this project.

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Funder: Natural Sciences and Engineering Research Council of Canada (NSERC) and Ontario Centres of Excellence (OCE)