Query-based legal information retrieval system

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Clausehound has developed a cloud-based, legal document drafting product for small businesses which provides them with alower-cost alternative to traditional legal providers. While the Clausehound product is currently in the market and generatingrevenues, improving the accuracy at which information is retrieved from their internally developed legal knowledge repository, androuted to the user for review and drafting, is crucial for the growth of their user (customer) base. In order for Clausehound tobecome more competitive in the market, they will engage with Seneca College, and in particular, with Dr. Elnaz Delpisheh, to helpfurther advance the companys extraction & retrieval technology. The work proposed in this project will help Clausehound refineand optimize its existing, commercially-available technology by improving (1) the process by which legal text is extracted (e.g.legal clauses from word documents) from unstructured and semi-structured documents, and (2) the process by which informationis retrieved based on queries submitted by a user (e.g. search string "automatic renewal clause"). This will improve on the currentidentification accuracy rates and document parsing times, and thereby enhance the marketability of the Clausehound technologyplatform and support the growth of their business.