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
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
中文摘要
Loom Analytics是一家总部位于多伦多的法律科技公司。Loom构建了一个SaaS法律分析系统,为法院判决中嵌入的数据提供图形和表格表示。Loom的系统是一个数据驱动的法律研究助手,为您查找、分类和排序判例法,使判例法研究过程更智能、更快、更稳健。利用法律分析和机器学习的组合,Loom提供了判例法的硬数字:胜败率、法官裁决历史、随着时间的推移的诉讼趋势。Loom正在与Seneca创意艺术与动画学院(FCAD)的教职员工和学生合作,简化Loom复杂的法律搜索引擎,同时改进和保持其高级功能。基于客户/用户反馈的新用户体验(UX)和用户界面(UI)设计的实施将使其更加直观和用户友好,这是其现有和潜在客户所要求的。
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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