Box AI

Rather than requiring enterprises to extract documents from their secure environment for AI processing, Box AI brings the intelligence to the content where it already lives, maintaining compliance and access controls throughout every AI interaction.

The multi-document querying capability allows users to ask questions that draw on information from multiple files simultaneously particularly valuable for legal and financial analysis workflows involving large contract sets, due diligence document reviews, and regulatory compliance assessments where the relevant information is distributed across dozens or hundreds of related documents.

Box AI synthesizes findings across this content landscape and delivers coherent, citation-backed answers that would require hours of manual document review to produce by traditional methods.

Data extraction is one of Box AI's highest-value enterprise capabilities.

Structured extraction agents can surface specific key details from massive volumes of contracts, intake forms, insurance documents, and financial reports automatically populating metadata fields and structured databases from unstructured document content at scale.

This automation eliminates the manual data entry work that consumes significant administrative capacity in industries where large document volumes are processed regularly, including legal services, financial services, insurance, and healthcare.

Content generation within Box AI produces context-aware documents tailored to specific business purposes.