XiaoBaoGongFaLüShiZhengFenXiPingTai

Overview

The Xiaobaogong Legal Empirical Analysis Platform is China's leading legal big data intelligent analysis tool. It deeply integrates judicial big data, legal knowledge graphs, and natural language processing technology to provide legal researchers and judicial practitioners with a one-stop empirical research environment covering data collection, cleaning, statistics, and visualization. The platform accesses tens of millions of judgment documents, laws and regulations, and case data, supporting multi-dimensional cross-analysis and custom variable modeling, significantly lowering the technical barrier to legal empirical research.

The platform features built-in analytical models such as regression analysis, cluster analysis, and frequency statistics, enabling one-click generation of charts and reports. It also offers auxiliary functions like intelligent similar-case retrieval and sentencing prediction, helping users quickly uncover judicial patterns and trends. In addition, the platform supports team collaboration and data export, catering to a wide range of needs from individual academic research to institutional project management.

Whether law schools are conducting topic research, courts and procuratorates are investigating judicial reform, or law firms are analyzing litigation strategies, the Xiaobaogong Legal Empirical Analysis Platform delivers precise, efficient data support, bringing legal empirical research from theory to practice.

Core capabilities

Smart Search

Quickly search massive judicial cases and legal regulations with fuzzy matching and advanced filters

Data Cleaning

Automatically identify and clean outliers and missing values to ensure data quality for analysis

Statistical Analysis

Built-in common statistical models including descriptive statistics, regression analysis, and cluster analysis

Visualization Charts

One-click generation of intuitive charts like bar charts, line charts, and heatmaps

Custom Variables

Support user-defined analysis variables and cross-analysis dimensions

Team Collaboration

Multi-user sharing of project data and analysis results with permission management

Report Export

Export analysis results to multiple formats including Excel, PDF, and images

Sentencing Prediction

Provide sentencing recommendations and reference ranges based on historical data

Use cases

Analyze sentencing trends and regional differences for theft crimes over the past five years

Study adjudication patterns of property division in marriage and family cases

Compare the consistency of judgments across different courts for contract disputes

Explore factors influencing compensation amounts in intellectual property infringement cases

Evaluate the application rate of the leniency system for guilty pleas after judicial reform

Predict sentencing ranges for certain types of emerging cybercrimes

Provide empirical data support and statistical analysis for legal academic papers

Help law firms formulate litigation strategies and select courts based on historical win rates