Document Intelligence
Case Studies
In an age where data drives decisions, how you manage, process, and
search your documents can make all the difference. However, Gartner
reports that 80-90% of enterprise data – from emails to PDFs – remains
unstructured. This overwhelming volume of unorganized data becomes a
barrier, making data access both costly and time-consuming.
Featured Case Studies
Metinvest Enhances Document Search on Microsoft SharePoint Using Machine Learning
Metinvest, an international steel and mining group, spent eternity managing and searching through terabytes of data on Microsoft SharePoint. In response, we integrated an advanced multilingual search system
enhanced with machine learning. This solution effectively identifies linked documents, detects duplicates, extracts key data insights, and automates document categorization.
Law Firm Enhances GDPR Compliance Validation for Data Processing Agreements Using Machine Learning
A Swedish law firm struggled with manually checking client Data Processing Agreements (DPAs) for GDPR compliance.
We developed an automated tool that assessed these documents against GDPR standards, summarizing which criteria were met. Users accessed this tool through a Microsoft Word plugin.