This article presents a method to quantify short-range order (SRO) in medium- and high-entropy alloys (M/HEAs) using atom probe tomography (APT). SRO, a measure of the tendency for atoms in a material to deviate from a random distribution, is believed to influence the mechanical properties of these alloys. However, reliable quantification of SRO in multicomponent alloys has been challenging due to issues with detector efficiency and trajectory uncertainties. The authors develop a data-driven approach to address these challenges, demonstrating that APT can accurately measure SRO under certain conditions. They validate their method through simulations and experiments on a CoCrNi alloy, showing that SRO can be engineered through heat treatments. The results highlight the potential of APT as a tool for generating atomistic models that can inform computational simulations of M/HEAs, contributing to a better understanding of their microstructural evolution and material properties.This article presents a method to quantify short-range order (SRO) in medium- and high-entropy alloys (M/HEAs) using atom probe tomography (APT). SRO, a measure of the tendency for atoms in a material to deviate from a random distribution, is believed to influence the mechanical properties of these alloys. However, reliable quantification of SRO in multicomponent alloys has been challenging due to issues with detector efficiency and trajectory uncertainties. The authors develop a data-driven approach to address these challenges, demonstrating that APT can accurately measure SRO under certain conditions. They validate their method through simulations and experiments on a CoCrNi alloy, showing that SRO can be engineered through heat treatments. The results highlight the potential of APT as a tool for generating atomistic models that can inform computational simulations of M/HEAs, contributing to a better understanding of their microstructural evolution and material properties.