One of the most critical raw materials needed to facilitate the transition to more sustainable and carbon-free energy production is the element lithium (Li), used in Li-ion batteries. These batteries are currently the most effective way for storing electrical energy produced by renewable sources. Li however is a rare trace element and is not often found in high enough concentrations to be extracted in an economic and ecologic sustainable manner. Sourcing Li from concentrated salt brines has adverse effects of ground- and surface water tables. Very few Li-rich minerals exist, however they are the best alternative to brines. One of the only rocks in which Li-rich minerals are concentrated are pegmatites, but these occur as irregular and small lenses or veins in more common granitic rocks. Some pegmatite types however are concentrated in well-defined zones of granite bodies in the Earth’s crust. Predicting where this enriched zones are located within the granite would greatly enhance Li-prospection without the need for invasive exploration techniques. In this project we aim to use low-temperature thermochronology and thermal history modelling to visualize when, where and at what rates pegmatite bearing granites become exposed to extractable near-surface levels. Aforementioned techniques use time and temperature information that can be unlocked from the granites. To test and showcase the potential of this methodology we have selected a well-constrained granite-pegmatite region in the state of Rio de Janeiro (Brazil).