Critical obligations are often buried in long documents and email attachments. AI can classify, extract and route documents while keeping reviewers in control.
Legal, Compliance & Document AI
Document intelligence for contracts, policies, regulatory records, approvals and audit evidence in Arabic and English.
Legal, Compliance & Document AI
Document intelligence for contracts, policies, regulatory records, approvals and audit evidence in Arabic and English.
Legal teams, compliance officers, procurement, government departments and regulated enterprises.
Module status is an initial portfolio planning label, not a promise of general availability.
Qanoun AI
DEMOAssistance for contract review, clause search and compliance workflows.
Open familyWathiq
PILOTDocument OCR, classification and routing for enterprise records.
Open familyMoqeem AI
IN DEVELOPMENTCompliance register, approval and evidence management.
Open familySahih AI
CONCEPTVerification and inconsistency detection for controlled data.
Open familyDocument / email → secure ingestion → OCR and classification → extraction / comparison → reviewer → archive and workflow.
Private or on-premises document processing is available for confidential legal and government records.
- Role-based access and audit trail
- Acceptance testing and human review
- On-premises or private-cloud option
- Government and regulators
- Banking and insurance
- Legal departments
- Healthcare records
- Construction and procurement
- Confirm the use case, data owners and acceptance criteria
- Design the integration, policy and operating model
- Run a measured pilot with UAT and SIT
- Train, hand over and support under the agreed SLA
Does this provide legal advice?
No. It supports document review and workflow. Legal interpretation and final decisions remain with qualified professionals.
Can Arabic documents be processed?
Yes, subject to document quality, script, layout and the validation set agreed for the use case.
Want to evaluate this product family?
Start with a defined scope, real data and measurable acceptance criteria.