False Litigation Intelligent Prevention System

Field of Application

Courts

Solution Overview

In judicial practice, challenges like delayed detection of false litigation crimes, inadequate communication mechanisms among judicial bodies for investigating such cases, and the lack of connection between civil and criminal proceedings can hinder the severity of penalties for false litigation. To combat malicious litigation and unveil hidden false claims, an intelligent prevention system for false litigation is proposed. The system harnesses big data analysis and intelligent algorithm models to scrutinize scattered data with investigative insight. By examining behavioral patterns, factual connections, and evidence verification, the system aims to pinpoint and address abnormal scenarios, aiding in the prevention and prosecution of false litigation.

Solution Highlights

1. Providing Big Data Analysis Capabilities with an Investigative Mindset
The system employs big data analysis infused with investigative reasoning to center around individuals, expanding from person-centric analysis to case-wide scrutiny. By thoroughly assessing all case-related information, the system evaluates risk levels and probabilities associated with both individuals and cases.
2. Integration of External Data Resources for Enhanced Accuracy
To bolster the precision of false litigation detection and early warnings, the system integrates external data sources such as public security, market supervision, and judicial administration data. Extracting key monitoring indicators from these sources, the system incorporates them into its intelligent algorithm model to holistically identify risk scenarios and enhance accuracy.
3. Development of Early Warning Models for High-Incidence Cases
Focusing on prevalent false litigation scenarios like labor and personnel disputes, the system will establish early warning capabilities for disputes like labor remuneration issues, employee bankruptcy claims, and labor contract disputes. By crafting intelligent algorithm models tailored to each case type and leveraging risk label information, the system will construct an identification and early warning model to proactively address high-risk situations.

Solution Architecture

Business Value

The False Litigation Intelligent Prevention System aims to dismantle information silos and connect individuals and cases, empowering data to drive decisions. By revolutionizing the traditional case handling model, it addresses inconsistencies in judging false litigation due to varying levels of case handling experience among judges, fostering a more objective and comprehensive approach to adjudicating false litigation cases.

Application Scenarios

Scenario 1: Combating Wage Arrears
A risk warning model for false litigation in labor and personnel dispute cases is added to the system. By issuing risk warnings for issues like labor remuneration disputes, employee bankruptcy claims, and labor contract disputes, the system enhances its ability to provide intelligent warnings concerning false litigation risks in labor and personnel disputes and concerning risky parties. Leveraging the information system, it analyzes false litigation risks in these disputes, scrutinizes involved parties, litigation representatives, and risky groups, thereby facilitating targeted initiatives to eliminate wage arrears.
Scenario 2: Risk Analysis
The system conducts precise risk analysis by dissecting the risk profiles of involved parties. Through a detailed examination of key information from numerous cases involving risk parties, it consolidates and delineates specific risk profiles comprising risk labels, probabilities, and corresponding descriptions. Utilizing early warning algorithms based on these risk labels, the system derives risk level insights for risk parties, visually presenting this information through fan charts and bar graphs for enhanced clarity and decision-making.

Success Stories

Jiangsu Provincial Court Case Big Data Smart Profile System and False Litigation Intelligent Prevention System Project
Jiangsu Provincial Court Big Data Smart Profile System and False Litigation Intelligent Prevention System (Phase II) Project
Zhejiang Court False Litigation Collaborative Governance Project