The National Academies of Sciences, Engineering, and Medicine workshop, “Evidence Integration in Chemical Assessments: Challenges Faced in Developing and Communicating Human Health Effect Conclusions” was held June 3-4, 2019 in Washington, DC. The aim of the workshop was to explore strategies for addressing challenges that arise for US EPA during evidence integration in chemical assessments, with a primary focus on the use of mechanistic data. As part of this workshop, Dr. Ruchir Shah described text mining and artificial intelligence (AI) methods and tools being developed at Sciome to enhance literature-based research. Dr. Shah specifically detailed the use of Sciome’s SWIFT-Review, SWIFT-Active Screener and FIDDLE and Information Extraction Workbench tools, along with various natural language processing (NLP) methods being developed to support the development of rapid evidence maps on various environmental and health related topics.