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Loading pageTurn dense document estates into governed knowledge workflows so teams extract facts, answer policy questions and prepare reviews with evidence links and human oversight.
Knowledge workers spend significant time locating clauses, extracting structured fields and reconciling answers across contracts, policies, clinical or academic documents. Generic chat tools lack grounding, access control and auditability for enterprise use.
Document Intelligence Copilot combines OCR and NLP extraction, retrieval-augmented generation and knowledge-graph context to support review, Q&A and structured capture. Every answer can be traced to source passages, and sensitive corpora remain under enterprise access and retention controls.
Secure corpus ingestion
Ingest and classify documents with access controls, retention rules and source provenance preserved.
Extraction and structuring
Pull key fields, clauses and entities into structured records ready for downstream workflows.
Grounded Q&A and review assist
Answer policy and document questions with cited passages reviewers can verify before acting.
Knowledge graph context
Relate documents, entities, policies and owners so retrieval reflects organisational structure, not isolated files.
Human review and export
Route AI-assisted outputs through reviewer confirmation before systems of record are updated.
Onboard the corpus
Documents are ingested, classified and permissioned according to enterprise access policies.
Index and relate content
NLP and knowledge-graph services create searchable representations linked to owners and document types.
Ask or extract
Users request answers, summaries or structured fields for a case, contract set or policy domain.
Verify against sources
Cited passages are reviewed so humans confirm accuracy before decisions or system updates.
Export and govern
Approved outputs feed workflows, repositories or reports with retention and audit logging intact.
Document workspace
PreviewDocs
86
Extracts
31
Citations
On