Query-based legal information retrieval system

基于查询的法律信息检索系统

• 批准号: 507218-2016
• 负责人: Williamson, Vanessa
• 金额: $ 1.82万
• 依托单位: Seneca College of Applied Arts and Technology
• 依托单位国家: 加拿大
• 项目类别: Applied Research and Development Grants - Level 1
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=641721
• 关键词: Query; based; legal; information; retrieval

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.

Clausehound为小企业开发了一款基于云的法律文件起草产品，为他们提供了传统法律提供商以外的低成本替代方案。虽然Clausehound的产品目前已投放市场并产生收入，但提高从其内部开发的法律知识库中检索信息并将其发送给用户进行审查和起草的准确性，对其用户(客户)基础的增长至关重要。为了让Clausehound在市场上更具竞争力，他们将与Seneca College合作，特别是与Elnaz Delpisheh博士合作，帮助进一步提升公司的提取和检索技术。该项目中提议的工作将通过改进(1)从非结构化和半结构化文档中提取法律文本(例如，Word文档中的法律条款)的过程，以及(2)根据用户提交的查询检索信息的过程(例如，搜索字符串“自动续订条款”)，来帮助Clausehound改进和优化其现有的商业可用技术。这将提高当前识别准确率和文档解析时间，从而增强Clausehound技术平台的适销性，支持其业务增长。