This work focused on the intensification of extraction process of glycyrrhizic acid (GA) from Glycyrrhiza uralensis using ultrasound-assisted extraction (UAE) method. Various process parameters such as ultrasonic power, ultrasonic frequency, extraction temperature, and extraction time which affect the extraction yield were optimized. The results showed that all process parameters had exhibited significant influences on the GA extraction. The highest GA yield of 217.7 mg/g was obtained at optimized parameters of 125 W, 55 kHz, 25 • C, and 10 min. Furthermore, the extraction kinetics model of this process was also investigated based on Fick's first law available in the literature. Kinetic parameters such as equilibrium concentration (C e ) and integrated influence coefficient (λ) for different ultrasonic powers, ultrasonic frequencies, and extraction temperatures were predicted. Model validations were done successfully with the average of relative deviation between 0.96% and 4.36% by plotting experimental and predicted values of concentration of GA in extract. This indicated that the developed extraction model could reflect the effectiveness of the extraction of GA from Glycyrrhiza uralensis and therefore serve as the guide for comprehending other UAE process.