Prof. Patricia Murrieta presents the approaches taken by the Digging into Early Colonial Mexico: A large scale analysis of 16th century historical documents project and the results produced. Tackling important historical and methodological questions, the interdisciplinary team has used techniques from Corpus Linguistics, Text Mining, Natural Language Processing, and Geographic Information Sciences to identify, extract, and analyse historical information from the source mentioned above. The design of computational methodologies for the identification of possible large-scale historical patterns and a series of essential data sets, including the first sixteenth-century digital gazetteer of Mexico and Guatemala. The results from this project are now enabling us to answer long-sought and fundamental questions regarding Mexican colonial history. She will also make a brief presentation of a new project called Unlocking the Colonial Archives: Harnessing AI for Indigenous and Spanish American Collections, using AI methods, aiming to tackle some of the most critical challenges in accessing colonial archival information.