Baldintza: Contract Clauses

Android app by SAIFULLAH. Tools · SAIFULLAH

Store rating
Unknown
Store rating count
Unknown
Download price
Free to download
In-app purchases
Not listed in captured metadata
Version
1.0.0
Listing last refreshed
2026-09-18

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Store description excerpt

When you are given an employment contract, it can be difficult to know which clauses are common for people travelling to the same destination to do similar work. Baldintza turns each photographed page into a clear clause-by-clause margin. Photograph every page, review the capture, and let the on-device reader separate numbered and bounded clauses. Each recognized clause is matched to a neutral family such as working hours, annual leave, passport custody, housing, transport, salary, or notice period. Where enough independent evidence exists, the margin shows how frequently that family appears for the selected destination and broad trade. For bilingual English and Arabic documents, Baldintza aligns matching clause numbers and highlights where the obligation or numeric value differs between the two versions. You can open the two passages side by side and decide what you want to ask about. Your contract remains useful without contributing. Optional contributions contain only verified clause-family patterns and normalized numeric slots. Page images and source clause text are not accepted by the shared corpus. A family stays hidden until at least seven independent devices have supported it, and repeated contributions from one device count as one. Privacy and control features include: - App-private photographed pages and local analysis - A second redaction verification gate before contribution - Queued contribution retry when a connection returns - Pause controls for queued contributions - Reporting on every visible aggregate - Deletion of local and contributed device data - Optional biometric unlock and a separate Baldintza App PIN Baldintza reports observed frequency. It does not provide legal advice, decide whether wording is legal or valid, or tell you to sign or not sign. When evidence is limited, it says “Not enough yet” without revealing a count or percentage.

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