Document intelligence
AI evidence extraction from documents, with analyst review
NC Data turns documents into candidate facts, events, entities, relationships and risk indicators, then lets the analyst inspect the source passage before anything becomes a finding.
Why source-linked extraction matters
For due diligence, litigation support, fraud investigations and compliance reviews, an AI answer is not enough. The analyst needs to know exactly which document, page and passage supports the statement.
Candidate findings
The system proposes facts, events, entities and red flags that may be relevant to the case.
Source passages
Each candidate finding is connected back to the source material that produced it.
Human approval
The analyst validates, edits or rejects the finding before it is used in a report.
Report-ready output
Approved findings can flow into evidence packs, timelines, case notes and due diligence reports.
Supported material
- PDFs with page-level citation context.
- Word, Excel, CSV, Markdown and plain text files.
- Images with OCR where text extraction is required.
- Audio and video files with transcription for supported workflows.
- Web, registry and search results collected during an investigation.
Built for controlled AI use
The workspace is local-first. Your core case material stays in the browser by default, and connected AI services receive only the specific context needed for the feature you choose to use.