The purpose of this study is to analyze the extent to which the causes of the administrative cases related to the granting of the developmental act in real estate public law cases are significant by the computer. For this purpose, we have based on previous studies of foreign countries which analyze court precedent data through statistical and artificial intelligence methodology and predict court judgment. The method of analysis is the quantitative analysis of the variables that are significant in the outcome of the actual 319 judgments using decision tree analysis. As a result of the analysis, CHAID analysis showed that four variables such as civil complaint, landmark, appropriateness of environmental harmony, land use zoing or urban planning have meaning. In the CRT analysis, three variables such as area, civil complaints, precedent illegality were found to have meaning. Based on the results of this study, it is possible to refer to the results of research in the preparation of defense in the decision of whether or not to file a lawsuit related to grant of developmental act or the filed administrative litigation. Furthermore, it will increase understanding of the outcome of litigation.