Objective The purpose of this study was to explore the prognostic value of m7G methylation-related long non-coding RNAs (lncRNAs) in hepatocellular carcinoma and develop a dynamic nomogram based on the Cancer Genome Atlas (TCGA) database. Methods The Cancer Genome Atlas (TCGA) database was used to retrieve clinical and transcriptomic data. Univariate Cox regression analysis and multivariate Cox regression analysis were used to screen m7G methylation-related lncRNAs, and finally to construct predictive signature and dynamic nomogram. Results Four m7G methylation-related lncRNAs (AL031985.3, AL365203.2, AC009403.1 and AC015908.3) determined by univariate and multivariate COX regression analysis were used to establish the predictive signature and validated the validity of the model. After assessing level of immune cell infiltration, immune function, and immune checkpoints, significant differences were found between the high-risk and low-risk groups. Finally, a validated online version of the dynamic nomogram was developed. Conclusion The prognosis model and dynamic nomogram of liver cancer based on m7G methylation-related lncRNAs can more accurately predict the prognosis of liver cancer patients, and provide greater convenience for clinical diagnosis and treatment.