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Overview
BestAgreement.ai is an advanced AI platform designed to detect hidden risks in agreements and various types of documents.
In this case study, we showcase how BestAgreement.ai was utilized to identify corruption risks in the draft law “On Veteran Entrepreneurship,” demonstrating its effectiveness and efficiency compared to traditional legal analysis.
Problem Statement
- Traditional analysis of laws for corruption risks, conducted by legal experts, is both time-consuming and prone to bias.
- Legal experts often face pressure to deliver specific conclusions and may lack comprehensive knowledge of all issues.
- This situation highlights the urgent need for innovative approaches to detect corruption risks more effectively.
Malikk Ganteng
Marketing Manager
“Having email marketing in one tool has made our sales
department more effective and efficient. We rely on
Sendlane a lot when we do marketing and that's where
we saw a really nice conversion.”
Results
- Traditional analysis of laws for corruption risks, conducted by legal experts, is both time-consuming and prone to bias.
- Legal experts often face pressure to deliver specific conclusions and may lack comprehensive knowledge of all issues.
- This situation highlights the urgent need for innovative approaches to detect corruption risks more effectively.
Solution: ZOPAAgent.ai
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BestAgreement.ai provides a robust solution to these challenges.
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The AI’s analysis is a powerful preventive tool, effectively identifying specific signs of corruption.
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The platform can detect key corruption indicators such as Improper Definition of Competence, Legal Collisions, Improper Definition of Rights and Obligations, Use of Evaluative Legal Constructs, Complication of Anti-Corruption Measures, and Mandatory Personal Contact.
Video
Additional attachments
The results of BestAgreement.ai’s analysis were compared with those from a traditional legal expert analysis. We decided to make this comparison based on a specific draft bill, namely the draft of “On Veteran Entrepreneurship.”
This comparison included the following documents:
Time Spent on Research
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Human Analysis: 5+ days per legal act.
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StrongSignal.ai: 30 seconds per legal act.
Conclusion
Both methods reached a high similarity in conclusions regarding the presence of corruption factors, proving the effectiveness of StrongSignal.ai.
StrongSignal.ai highlights potential corruption risks efficiently and matches the reliability of traditional analysis in detecting corruption-related language in legal documents.
Unlike human lawyers, StrongSignal.ai is immune to pressure or influence from interested third parties, ensuring unbiased and objective analysis.
This makes StrongSignal.ai an invaluable and efficient tool for anti-corruption analysis and legislative review.
Malikk Ganteng
Marketing Manager
“Having email marketing in one tool has made our sales
department more effective and efficient. We rely on
Sendlane a lot when we do marketing and that's where
we saw a really nice conversion.”
References:
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Americas Quarterly
https://americasquarterly.org/article/ -
SUPREME COURT HISTORICAL SOCIETY
https://supremecourthistory.org/
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