This study is aimed at reexamining the authorship attribution of “Chujianqin” and “Cunhan” in the Han Feizi. Drawing on recent discussions regarding distant reading on literary history, this study presents a case study example of distant reading to build and test a hypothesis on Chinese classics. In the present study, both an unsupervised clustering and a supervised classification algorithm are used to explore patterns among pre-Qin and Han texts and to verify a hypothesis on the authorship attribution of the Han Feizi. More specifically, this study first applies Principal Component Analysis and then applies a BERT-based classification model to pre-Qin and Han texts with much focus on the Han Feizi. Results from this study reveal the existence of a remarkable similarity between the first two chapters of the Han Feizi and the Zhan Guo Ce (Annals of the Warring States). It not only provides a supplement to existing doubts over the authenticity of these two chapters but further suggests strong evidence of their Zhan Guo Ce origins.