Security-relevant information is often scattered across large collections of unstructured content, in multiple languages and formats.

Manual analysis is slow, difficult to scale and resource-intensive. LEGAT addresses this challenge by enabling faster, more consistent extraction of relevant information across datasets in Romanian, English, French, Russian and Hungarian.