Due to the influence of different sources and types of multimodal teaching data in the economic law course, the data fusion effect is not good. Therefore, a multimodal teaching data fusion method is designed for “economic law” course of finance and commerce majors. The structural characteristics of multimodal teaching data of “economic law” course are extracted, and the teaching data is thoroughly analyzed through various modalities, encompassing text, image, audio, and video, to extract its intricate inner structure and vital information. The multimodal teaching data fusion model integrates various forms of information such as text, images, audio, and video to provide students with a richer and more three-dimensional learning environment. This diversified way of presenting information can stimulate students’ interest in learning, improve their participation and learning effectiveness. The construction of a multimodal teaching data fusion model for the “economic law” course, specifically tailored for finance and commerce majors, has been successfully accomplished, and the teaching data structure and information are effectively integrated and transformed into the information that meets the multimodal teaching mode of “economic law” course and meets the teaching needs. The multimodal teaching data fusion function is optimized to enhance the complementarity and synergy between the data, reduce the information redundancy and conflict between different modal data, so as to adapt to different teaching scenarios. The experimental results show that the multimodal teaching data fusion of this method is effective and can be applied in real life.