During the court’s case-trial-enforcement process, the parties involved in multiple cases or the facts of the case are sometimes the same, namely “one person with multiple cases”, resulting in the waste and unreasonable allocation of judicial resources. Then a risk pre-warning system of one person with multiple cases based on deep learning is designed and implemented. This system is based on deep learning technology and massive judgment documents. Case identification and similarity measure for legal documents are proposed by modeling the vector representation of the case text, and one person with multiple cases is associated with the legal business rules, providing the risk pre-warning report. This system can offer technical support for judicial resource coordination, supporting courts to try cases fairly and efficiently.