AI tool to detect corruption in legal acts: Ukraine

Summary:

In this case study, we see how the AI tool BestAgreement.ai, developed to detect hidden risks in agreements, is used to identify corruption risks in the draft of bills.

The platform quickly and reliably identifies potential corruption, offering results comparable to traditional expert analysis in a fraction of the time.

BestAgreement.ai analyzed the draft law “On Veteran Entrepreneurship”(Ukraine) in just 30 seconds, while traditional legal experts took over 5 days, with both methods reaching 99% similarity in their conclusions.

This demonstrates the effectiveness and efficiency of AI in legislative analysis, highlighting BestAgreement.ai as a valuable tool for detecting corruption risks

Problem Statement:

Traditional analysis of laws for corruption risks conducted by legal experts is time-consuming and susceptible to bias.

Experts may face pressure to deliver specific conclusions and might lack comprehensive knowledge of all aspects of the issues at hand.

This underscores the need for innovative approaches to detect corruption risks.

Therefore, developing and applying new technological solutions, incorporating AI, to analyze legislation for the presence of corruption risks is essential.

BestAgreement.ai as a solution:

Using BestAgreement.ai, Stopcorruption.AI analyzed the draft law “On Veteran Entrepreneurship” (see Document List) to identify potential corruption risks.

The AI analysis of this draft law demonstrates AI’s role as an effective preventive tool for identifying potential signs of corruption.

VIDEO: 

Comparison with Traditional Analysis:

The AI analysis was compared with a traditional legal expert analysis by the Institute of Legislative Ideas, Ukraine.

The list of Documents: 

1. The draft of  “On Veteran Entrepreneurship”(translated, English)  – download;
2. The “traditional” legal expert analysis,  prepared  by the Institute of Legislative Ideas, Ukraine – download;
3. The AI analysis,  prepared by BestAgreement.ai –  download;
4. The analysis of differences between “The AI analysis”  and “The “traditional” legal expert analysis” – download;

Summary of the findings:

1. Identification of corruption factors:

The AI analysis by BestAgreement.ai:  successfully identified potential corruption risks.

The “traditional” legal expert analysis:  similar identification of unclear definitions and subjects within the bill that could lead to corruption.

While the Institute of Legislative Ideas resorts to descriptions without specifying corruption factors.

2. Identification of Gaps and Legal Conflicts in the draft law “On Veteran Entrepreneurship“

Conclusions are the same in 99% of cases for both Bestagreement.ai and the Institute of Legislative Ideas.

3. Time spent on research: 

• BestAgreement.ai: 30 seconds per legal act.
• Human Analysis: 5+ days per legal act.

4. Conclusion:

• Both methods reached 99% similarity in conclusions regarding the presence of corruption factors, proving the effectiveness of BestAgreement.ai.
• BestAgreement.ai highlights potential corruption risks efficiently and matches the reliability of traditional analysis in detecting corruption-related language in legal documents.
• BestAgreement.ai is immune to pressure or influence from interested third parties, unlike human lawyers, ensuring unbiased and objective analysis.