How It Works
From document to searchable record
Inside Lincoln AI DMS, documents move through a structured pipeline — ingestion, extraction, validation, and retrieval — so your records are organized, searchable, and accessible in one repository.
What Lincoln AI changes in a records workflow
In most records offices, OCR and metadata capture is a manual process. Staff read each document, identify key fields, type them into a system, and move on to the next page. It works — but it's slow, error-prone at volume, and hard to scale when backlogs grow or staffing shifts.
Lincoln AI handles the repetitive, high-volume part of that work. Documents are read by Lincoln AI DMS, which extracts and structures metadata automatically. Low-confidence results are flagged for human review. High-confidence fields pass through. The result is the same structured data your systems need — produced faster, with fewer manual touches, and with a clear record of what was reviewed and what wasn't.
Ingest Documents
Documents enter Lincoln AI through one of three paths, depending on your workflow. The platform normalizes incoming records regardless of source, so the rest of the pipeline operates consistently.
Backfile batches
Bulk imports of historical records — scanned images, microfilm conversions, or legacy digital files processed in large volumes.
Day-forward workflows
New recordings and filings received as part of daily operations, processed on intake as they arrive.
Imported digital files
Electronic documents transferred from other systems, vendors, or digitization partners in standard formats.
Extract & Structure Data
Lincoln AI DMS reads each document and converts unstructured content into organized, field-level data. This is the core of what Lincoln AI does — turning pages into structured records.
OCR processing
Optical character recognition converts scanned images and handwritten entries into machine-readable text.
Field extraction
Key fields — party names, document types, recording dates, instrument numbers — are identified and pulled from document content.
Metadata capture
Extracted fields are structured, normalized, and mapped to your records schema so they're consistent and usable downstream.
Metadata expansion & auto-tagging
Lincoln AI cross-references document types, identifies related fields, and applies consistent tagging to improve discoverability and reduce manual categorization.
Validate & Review
Not every extraction is high-confidence. Lincoln AI surfaces uncertain results rather than hiding them, using exception-based workflows that let your team focus on what actually needs attention.
Low-confidence flags
Fields that fall below configurable confidence thresholds are flagged automatically — not silently accepted.
Exception handling
Flagged records are routed to structured review queues organized by document type, field, or priority.
Human verification
Your team confirms, corrects, or supplements extracted data where needed. High-confidence fields pass through without manual review.
Search, Access & Export
Once OCR-processed and validated, records are immediately available for retrieval, structured search, and integration with downstream systems.
Keyword retrieval
Full-text search across document content — find records by any term, not just indexed fields.
Record lookup
Search by party name, instrument number, legal description, date range, or document type with structured, filterable results.
Export & integration
Validated records and metadata can be exported or handed off to recording systems, public-access portals, title plants, or vendor platforms.
Rollout Planning
Before full deployment, Lincoln AI works with your team to confirm fit and identify configuration needs — often starting from what you saw in the initial demo.
Field coverage scoping
Which fields does Lincoln AI extract reliably from your document types? Where are gaps, and what configuration would close them?
Workflow fit
How does Lincoln AI's pipeline align with your current intake, review, and recording workflows? What changes — and what stays the same?
Rollout considerations
Volume estimates, integration points, review staffing, and phasing — practical planning for how Lincoln AI enters your environment.
What Lincoln AI does not require
Lincoln AI is designed to fit into existing environments — not to replace them wholesale. Here's what you don't need to do to get started.
Not a full rip-and-replace
Lincoln AI works alongside your existing recording system, public-access portal, or vendor platform. You don't need to decommission what you have to start using it.
Not manual review of every page
Lincoln AI uses exception-based review. Your team reviews flagged fields — not every document. High-confidence extractions pass through without manual intervention.
Where Lincoln AI fits
County offices
Recorders, clerks, and records-management teams processing daily recordings and managing historical backlogs. Lincoln AI handles the OCR/ICR and metadata work that currently requires manual keying.
Title operations
Title companies and search teams that need structured metadata from recorded documents. Lincoln AI provides the extraction layer that feeds title-plant databases and search workflows.
Government records teams
Federal and state agencies managing large document repositories. Lincoln AI supports structured intake, metadata standardization, and retrieval across document types and retention schedules.
See Lincoln AI DMS in action
Book a live demo tailored to your county's document types, workflows, and existing systems.
A live 30–45 minute walkthrough with a Lincoln AI team member — shaped around your office's document types and workflows.