Qdrant
41 Case Studies
A Qdrant Case Study
Aracor, an AI platform focused on the M&A sector, faced the challenge of making the slow and error-prone legal due diligence process faster and more accurate. Their platform needed to precisely search through thousands of complex legal documents, a task where generic AI tools and traditional methods were failing. To solve this, they turned to the vendor Qdrant for its vector database technology.
By implementing Qdrant's vector search solution, Aracor gained the ability to perform hybrid and metadata-driven searches through massive document repositories. This integration resulted in a 90% acceleration of due diligence workflows and a 70% reduction in document turnaround time. The solution provided by Qdrant also delivered high accuracy with essential citations, which significantly increased user trust and reduced the legal hours required for each project by 40%.