Digital twins are rapidly expanding in the market as an important foundation for industrial revitalization. Among these, building information modeling (BIM) plays a critical role in the digital twin field, and its integration with the Geographic Information System (GIS) enables applications in various areas, including urban planning and digital twin development. However, BIM and GIS were developed for different purposes, resulting in distinct data structures and characteristics, which makes integration challenging. In particular, the integration process requires positional correction owing to differences in coordinate systems, but in practice, location information is not prioritized during BIM model creation, making coordinate matching difficult. To address the discrepancies in location information between BIM and GIS, in this study, we propose an automatic algorithm for coordinate transformation to align Local Coordinate System (LCS)-based data with Reference Coordinate System (RCS)-based GIS digital maps. The algorithm goes through a five-step process: measuring location information levels, extracting outermost polygon vectors, polygon-based model matching, extracting coordinate transformation coefficients, and BIM model georeferencing. Owing to the limited availability of BIM data, the proposed method was only applied experimentally in this study. However, future research should involve extensive experiments and discussions using various BIM models.