Based on the bidirectional encoder representation from transformers(BERT) pre-training model and knowledge distillation, a multi-task and multi-label text classification model is proposed for two sub-tasks of the legal judgment prediction, namely, charge prediction and law article recommendation. To find the correlation between two sub-tasks and improve the performance of prediction, a text classification model named $\rm{BERT_{12