Is it possible that the computer (machine) thinks and makes decisions as human beings? This research collects 448 cases including 690 children in which parents are both Taiwanese and willing to acquire the custody but adjudicated as sole custody as a result by district courts in 2012 to 2014. First, we coded the factors that have been considered by the judge in each case. Second, the artificial neural networks (ANN) were developed using these coded cases and a rigorous training and testing protocol. The machine learned whether the father or the mother receives custody in 552 training cases. Based on the rule learned, the machine then predicted the results of the remaining 138 testing cases that the answers were “unknown” to it. The ANN correctly decided 98% of the cases (accuracy) and the F-1 score reached 0.99 averagely. This result indicates that ANN technology can be used as a beneficial reference for the family judges while deciding child custody. It may also help to raise the predictability of cases as a whole.