A leading legal firm faced significant challenges in effectively querying and identifying relevant transactions from vast subpoena results, which included millions of SWIFT transactions in multiple formats. Using nventr's AI-driven solution, the firm optimized asset recovery, reduced dependence on expensive third-party research, and opened up new avenues in settlements.
Key
Highlights:
- Seamless ingestion and normalization of financial transactions through automation
- Intelligent reporting based on learned relevancy methodology to enhance decision-making
- Deployment of the nventr Agent, enabling legal analysts to query the database using plain english commands.
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