The enterprise AI trust paradox
Every enterprise considering AI faces the same contradiction: the documents that need AI the most — contracts, letters of credit, financial instruments — are exactly the ones they dare not hand over. How long is data retained? Will it train someone's model? Could it leak in the next breach? If any of these questions lacks a definitive answer, adoption stalls on the compliance desk.
How privacy-first processing works
A privacy-first architecture gives a clear answer: sensitive documents travel through encrypted channels and are parsed in memory in real time. LC Shield: uploaded documents are not saved to our servers after analysis, nor used for model training. Vowpace stores redacted contract text for the life of your account. For enterprises, this is a privacy design that can be clearly explained and reviewed.
From philosophy to product default
At DZent, privacy-first is a design principle across our line: LC Shield does not retain uploaded documents after analysis; see the LC Shield Privacy Policy (getlcshield.com/privacy). Vowpace stores redacted contract text for the life of your account; see the Vowpace Privacy Policy (vowpace.com/privacy). We believe the endgame of enterprise AI is not just model capability, but architectural integrity worth trusting.