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User experience (UX) and user interface (UI) design for complex legal search engine

User experience (UX) and user interface (UI) design for complex legal search engine
复杂法律搜索引擎的用户体验(UX)和用户界面(UI)设计
批准号:
516157-2017
负责人:
Williamson, Vanessa
金额:
$1.81万
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
项目状态:
已结题
起止时间:
2017-01-01 至 2018-12-31

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中文摘要
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英文摘要
Loom Analytics is a Toronto based legal-tech company. Loom has built a SaaS legal analytics system that provides a graphical and tabular representation of data embedded in court decisions. Loom's system is a data-driven legal research assistant that finds, classifies, and sorts case law for you, making the process of case law research smarter, faster, and more robust. Using a combination of legal analysis and machine learning, Loom provides hard numbers on case law: win/loss rates, judge ruling histories, litigation trends over time. Loom is collaborating with faculty and students in Seneca's School of Creative Arts and Animation, within the Faculty of Creative Arts and Design (FCAD), to simplify Loom's complex legal search engine, while improving and maintaining its advanced features. Implementation of a new user experience (UX) and user interface (UI) design, based on client/user feedback, will make it more intuitive and user friendly, something demanded by its current and potential customers.
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