01Data residency & retention
Your documents and the reading of them (OCR) stay in Microsoft Azure UK South. Structure and layout analysis runs in the Azure OpenAI EU Data Zone within the EEA.
Each workspace chooses how long converted outputs are kept: seven days by default, up to 30 days. They are then deleted automatically.
02Wording and training
LexForge does not use customer documents to train any AI model.
Every finished document is checked against the words read from the source. Anything the check cannot confirm is flagged for a person to read.
03Automatic scan cleanup
Your source scan goes on the short-retention path the moment it arrives, then leaves active storage automatically.
Document text never reaches our logs.
04Retention your firm controls
Your workspace sets how long finished files stay available, from seven to 30 days. Source scans always follow the shorter path.
Billing, email and support details sit with the sub-processors listed below.
Technical detail: what runs where, and for how long
Azure OpenAI receives relevant full-page images and extracted text for structure and layout analysis in the EU Data Zone. Requests use storage disabled (store=false), so normal Responses API conversation state is not retained. Customer material is not used to train generative models. Microsoft performs automated abuse monitoring. Material flagged by the abuse-monitoring system, or identified as part of a potentially abusive pattern of use, may be stored in a Microsoft-controlled abuse-monitoring store and reviewed by authorised Microsoft staff. Documents and OCR remain in UK South.
Uploaded scans are scheduled for deletion from active storage two hours after upload. Azure Storage lifecycle rules make overdue source and standard extracted-text cache blobs eligible for deletion once they are more than one day old. Microsoft controls the exact lifecycle processing time. Deleted blobs may remain recoverable to authorised administrators for up to seven days under Azure soft delete.
Two conversion paths use AI differently. On Reconstruct, the standard path, Azure Document Intelligence OCR supplies every word and AI decides structure and layout only. On Restyle, an experimental path a workspace chooses deliberately, an AI model transcribes the words directly from full-page images, including handwriting, and a second focused AI call may propose a correction to an individual disputed span. A correction is kept only when it exactly matches the independent OCR reading. Every Restyle draft is held for human review rather than released as accepted.
During house-style setup, AI may suggest labels for a firm's own Word styles using style names and formatting only, never document content. A suggestion takes effect only after a person confirms it.
The full policy is in our privacy policy.