| Title | Legal Artificial Assistance Agent to Assist Refugees |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Rebolledo-Mendez, Jovan D, Tonatiuh Gomez Briones, Felix A., Gonzalez Cardona, Leslie G |
| Conference Name | 2022 IEEE International Conference on Big Data (Big Data) |
| Date Published | dec |
| Keywords | AI for Legal, Big Data, chatbots, conversational agents, Human Behavior, intelligent conversational agents, Law, Legal Assistance, Legal Document Review, Metrics, pubcrawl, Refugees, Scalability, search problems, Sociology, Statistics, usability |
| Abstract | Populations move across regions in search of better living possibilities, better life outcomes or going away from problems that affected their lives in the previous region they lived in. In the United States of America, this problem has been happening over decades. Intelligent Conversational Text-based Agents, also called Chatbots, and Artificial Intelligence are increasingly present in our lives and over recent years, their presence has increased considerably, due to the usability cases and the familiarity they are wining constantly. Using NLP algorithms for law in accessible platforms allows scaling of users to access a certain level of law expert who could assist users in need. This paper describes the motivation and circumstances of this problem as well as the description of the development of an Intelligent Conversational Agent system that was used by immigrants in the USA so they could get answers to questions and get suggestions about better legal options they could have access to. This system has helped thousands of people, especially in California |
| DOI | 10.1109/BigData55660.2022.10020976 |
| Citation Key | rebolledo-mendez_legal_2022 |
Legal Artificial Assistance Agent to Assist Refugees