LSC's 2020 Innovations in Technology Conference

Legal services organizations provide advice and pro se assistance to large numbers of people, but often do not know what happens to these clients after the case is closed. Is there a way to efficiently measure brief service outcomes and provide follow-up support to clients who need it? This session showcases three programs that are doing just that. Rohan Pavuluri will explain how Upsolve is using docket monitoring software and machine learning to track clients who file for Chapter 7 bankruptcy after receiving pro se assistance, and help them overcome roadblocks in their case. Angela Tripp will describe how Michigan Legal Help sends text messages to clients who used the Guide to Legal Help (triage) in order to give them timely legal information, gather outcomes, answer questions, and evaluate whether the client needs more help. Anne Sweeney will discuss the work that the Legal Aid Society of Cleveland is doing to build upon their successful texting-for-outcomes project in order to gather more detailed outcome information.