Document intelligence

DocAI

Classify documents and validate extracted data

Document intelligence that classifies official records, extracts index data, validates results, and routes uncertain fields for human review.

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From document to decision

Document volume becomes structured work

Land-record operations still begin with documents: scanned pages, electronic filings, historical images, and PDF packages created by countless sources. The office needs something more useful than a folder of files. It needs dependable document types, parties, dates, addresses, legal references, relationships, and other index data that staff can review and use.

DocAI transforms those documents into organized, review-ready work. It prepares pages, extracts text, classifies each instrument, and proposes the structured information the office needs.

Repetitive data entry becomes focused validation, giving records teams more capacity without disconnecting the data from its source.

Land-record intelligence

Intelligence built for the language of land records

A deed, mortgage, release, affidavit, court filing, and supporting attachment do not carry the same information or follow the same rules.

DocAI recognizes those differences. Classification selects the right data structure and puts the relevant names, roles, dates, addresses, recording references, financial values, and jurisdiction-specific fields in front of the reviewer.

The processing layer also supports searchable text, document-quality checks, accessible output, and the identification of content that requires redaction review. Instead of applying generic OCR and leaving staff to interpret a block of text, DocAI turns document content into the specific units of work used by a recording or indexing operation.

Evidence-led review

Useful automation must show its work.

Every suggestion stays easy to verify

DocAI keeps the source document beside the proposed data so a reviewer can confirm a field, correct it, or investigate an uncertain result without switching systems. Confidence signals distinguish clear extractions from values that need attention. Source highlighting points back to the supporting language on the page when that evidence is available.

This evidence-led design is especially valuable for names, dates, legal descriptions, cross-references, and faint historical images.

Clear fields move quickly; ambiguous ones remain visible rather than being silently treated as fact.

Exceptions at the center of review

DocAI combines document understanding with configured recording requirements and deterministic validation. Checks can identify missing information, inconsistent values, image problems, possible redaction content, or a condition that requires staff judgment. Each result carries a meaningful state and an explanation, so the queue reflects the work that actually deserves attention.

Teams can filter by document status, confidence, assignee, document type, or redaction review and move directly to the records that need intervention. Corrections and review actions stay connected to the document and packet. Supervisors gain a clearer view of throughput and failure patterns, while reviewers avoid spending equal time on every page regardless of complexity.

Connected records

Better data across the records lifecycle

DocAI brings the same disciplined processing to counter and mail intake, electronic submissions, active recording operations, and historical digitization programmes. Newly filed instruments move through review with less manual entry, while hard-to-search archives become structured information that people can actually discover and use.

Once staff approve the result, the data strengthens the System of Record and every public service that depends on it.

  • Smart SearchSmart Search gains richer fields and more consistent connections.
  • Recording teamsRecording teams work from better-prepared documents.
  • Public accessThe public finds information more easily.

DocAI turns document intelligence into a shared operational advantage while keeping the source, the reviewer, and the public authority connected.

Product experience

Desktop review screen
Illustrative layout

Source document and extracted fields

The source stays beside the structured data so a reviewer can see confidence signals, check uncertain values, and correct the result.

Capabilities

What the product does

ClassifyDocument classification
DocAI identifies the document category so the appropriate fields and validation rules can be applied.
ExtractStructured field extraction
Names, dates, addresses, legal references, and other index data can be converted from the source document into structured fields.
ValidateValidation rules
Extracted values are checked for completeness, format, and consistency before they move into the recording workflow.
PrioritizeConfidence routing
Low-confidence or conflicting values are surfaced for review instead of being silently treated as final.
ReviewHuman correction
Reviewers can compare the source with the extracted result and correct fields that require judgment.
ConnectStructured outputs
Validated data can move into the System of Record and support more consistent downstream public access.

See it in your workflow

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Bring the process and questions your team is working through.

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