I-Corps: Using Artificial Social Intelligence for Legal Team Assistants

I-Corps：使用人工智能作为法律团队助理

• 批准号: 1933260
• 负责人: Ivan Garibay
• 金额: $ 5万
• 依托单位: The University of Central Florida Board of Trustees
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-06-15 至 2019-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1933260&HistoricalAwards=false
• 关键词: Corps; Using; Artificial; Social; Intelligence

The broader impact/commercial potential of this I-Corps project is to substantially transform the legal system and processes by incorporating Artificial Intelligence (AI) into the legal process of discovering and analyzing information. This project provides the legal community with AI tools that will enable them to adapt to a fast-changing information landscape (i.e., by procuring, organizing and extracting actionable knowledge from large amounts of documents and data during the pre-trial procedure of discovery), and to leverage the most recent advances on human-machine teaming for an effective delivery of AI-assisted discovery to legal teams. The target customers are practitioners at law firms, corporations, government agencies, and academic researchers and who perform qualitative data analysis on large volumes of unstructured data. This technology potentially aids the case discovery process in the legal field that often involves large amounts of electronically stored information in preparation for litigation.This I-Corps project is based on advance machine learning based algorithms and social teaming algorithms used to improve the efficiency of qualitative data analysis and the effectiveness of data result delivery to legal teams. The project explores the use of artificial social intelligence-based algorithms that automate the analysis of large volumes of unstructured text data to gain insights to the patterns within the data more efficiently, with better individual and inter-coder reliability, and within significantly shorter processing time. The results of this analysis will be delivered to legal teams using computer-based agents that observe their surroundings, infer their teammates goals and assist the legal team by providing information at the appropriate level and time.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这个I-Corps项目的更广泛的影响/商业潜力是通过将人工智能（AI）纳入发现和分析信息的法律的过程来实质性地改变法律的系统和过程。该项目为法律的社区提供人工智能工具，使他们能够适应快速变化的信息环境（即，通过在预审发现程序期间从大量文件和数据中获取，组织和提取可操作的知识），并利用人机合作的最新进展，为法律的团队提供人工智能辅助发现。目标客户是律师事务所、企业、政府机构和学术研究人员的从业人员，他们对大量非结构化数据进行定性数据分析。该技术可能有助于法律的领域的案件发现过程，该领域通常涉及大量电子存储的信息以准备诉讼。该I-Corps项目基于先进的机器学习算法和社交团队算法，用于提高定性数据分析的效率和向法律的团队交付数据结果的有效性。该项目探索使用基于人工社会智能的算法，自动分析大量非结构化文本数据，以更有效地洞察数据中的模式，具有更好的个体和编码器间的可靠性，并在显着更短的处理时间内。该分析的结果将通过基于计算机的代理人提供给法律的团队，这些代理人观察他们的周围环境，推断他们的队友的目标，并通过在适当的级别和时间提供信息来协助法律的团队。该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估而被认为值得支持。