USCIS is the component within DHS that oversees lawful immigration to the United States. USCIS receives immigration requests from individuals seeking immigration and non-immigration benefits. Once a benefit request form is submitted to USCIS, a series of processing and adjudication actions occur. One of the case management systems used to track and adjudicate certain immigration request forms is the Electronic Information System (ELIS). USCIS ELIS is an internal case management system composed of microservices to assist with performing complex adjudicative and processing tasks; one of those microservices is the Evidence Classifier. Until the introduction of the Evidence Classifier machine learning (ML) solution, those who are working cases and who are responsible for reviewing evidence documents would often have to sift through dozens, if not hundreds, of unlabeled pages to find one specific artifact — be that a green card, a birth certificate, or so on. To reduce the amount of adjudicative time spent on these repetitive tasks, a ML solution was built to systematically tag individual pages with some of the highest-volume, highest-impact evidence types. Calculated from September 28, 2021 , to May 20, 2022, the ML enhancements have saved around 24 million page scrolls, which amounts to approximately 13,348 hours saved, assuming it takes 2 seconds to review 1 page of evidence. This has nearly doubled cases with a 30-day adjudication rate from about 30% to 58%. For more information, please visit: https://www.dhs.gov/publication/dhsuscispia-056-uscis-electronic-immigr…