Insufficient management

✔️ Enterprise compliance analysis relies on manual judgment and lacks information technology, resulting in insufficient horizontal comparison of information and warning monitoring
✔️ The ability to identify risks for both the enterprise itself and its counterparties in transactions needs to be improved

Manage pain points

Information delay

✔️ The reporting of major cases is not timely, the statistical cycle for non major cases is long, and the work is inefficient
✔ When a company is sued, it takes about 15 days from filing to delivery, and there is also a lag in the company's understanding of its own involvement in the lawsuit

Regulatory risk

✔️ Manually filling in by subordinate enterprises is prone to errors, omissions, concealment, and incomplete information related to the case
✔️ The acquisition of litigation related information by higher-level units relies on reporting by lower levels, and is in a passive and post supervision situation

Contract risk

✔️ In procurement or other commercial activities, it is impossible to determine in real time whether suppliers or cooperative enterprises have judicial risk information related to ongoing cases or other bad reputations
✔️ In the process of contract performance, there is a lack of dynamic tracking of the signing parties' judicial risks

Solution

By aggregating data, building platforms, and providing unified services, with legal risk control as the core, using big data technology, real-time monitoring and analysis of enterprise litigation case information in courts across the country, and pushing relevant results, practical tools are provided for pre case prevention and in-process control of cases, forming a platform application effect of linkage and collaborative promotion of upper and lower level case management, and solving the demands of enterprise litigation case management& nbsp; Provide support for compliant business operations and major risk prevention for enterprises
Integrate national judicial case data, solve problems such as misreporting and omission of case information, and achieve comprehensive management

Strengthen the management of litigation related cases

1

Online acquisition and real-time updating of case data, improving the manual submission process

Reduce the workload of case reporting

2

Case automatic warning, multi-dimensional intelligent monitoring and analysis, quickly identify risks

Reduce the difficulty of legal risk control

3

Provide legal provisions and compliance knowledge base queries to assist enterprises in internal control and compliance

Enhance compliance management capabilities

4

Penetrating queries can be conducted on third-party enterprises' litigation risks, whether they are blacklisted, and other situations to avoid business risks

Risk identification of counterparties in transactions

5

The group and regulatory enterprises use a unified platform for data exchange and closed-loop management

Efficient communication through top-down linkage

6

1) Case supervision

The full number of court cases involving the group and its subordinate units will be automatically recorded in the system by T+2, allowing users to view case details, historical cases, court hearing information, and public document information

2) Case handling

After the litigation case is pushed or entered through big data assistance, a designated person can be assigned to handle and follow up

Case supervision

Related cases such as first instance, second instance, and execution cases have automatic association and collection relationships. The case details page supports jumping to different trial processes

Case handling

It can achieve closed-loop management of the entire process of filing, hearing, trial, and closing cases related to litigation, supporting related litigation cases and non litigation disputes

3) Intelligent assistance

✔️ Intelligent case push, based on multiple dimensions such as case claims, case characteristics, and evidence materials, intelligently and accurately pushes relevant cases
✔️ Based on the comprehensive data of judicial documents, machine learning and cognition of massive case documents are used to construct case portraits and judicial knowledge graphs, achieving prediction of judgment results

Intelligent assistance

Based on the specific needs of enterprises in the litigation process, achieve functions such as accurate lawyer query matching, lawyer holographic portrait analysis, and lawyer business perspective

System functions

5) Automated early warning

By combining data and modeling capabilities, risk identification and early warning can be carried out for dispute cases such as filing, closing, breach of trust, high limit, and major, in order to timely obtain information on major dispute risks such as large cases and breach of trust limits

6) Intelligent report

Macro analysis of debt and other risk trends and ranges to assist regulatory agencies in making scientific decisions. Cost saving and efficiency increasing, intelligent monthly and annual statistical analysis

4) Visual analysis

Statistics on overall cases, litigation status, enforcement cases, and major dispute cases
Support custom viewing of case data trends over different time periods
Support switching to view the top 10 involved amounts and quantities in subordinate units
Risk statistics for listed companies, newly registered cases, and key issues of concern

Usage value

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  • What can you do
  • How much does it cost
  • How long does it take
  • What do I need to do
  • What information is required
  • How is the after-sales service
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