What challenges did Kofile Technologies face before AI implementation?

County governments stored records across paper, microfilm, PDFs, and multiple systems, making search and retrieval slow and labor-intensive. Public records requests created bottlenecks for staff, citizens, title companies, and county administrators.

What was the impact of the AI solution?

Citizen search times dropped from hours to seconds. Automated classification and metadata extraction eliminated much manual data entry. Staff can handle higher request volumes without increasing headcount.

Rank#489of 3,107

Source

Kofile modernizes county records with AI on AWS (document intelligence with Amazon Bedrock)

Use case typeDocument processing automationUpdated May 5, 2026

Kofile Technologies modernized county records management for more than 3,000 county governments using AWS. The platform processes millions of historical public records with automated classification, semantic search, translation, analytics dashboards, and strict security controls.

Organization: Kofile Technologies
Industry: Public Sector
Location: United States
Published: May 2026

Reported outcomes

−99%

citizen record search timeTime & speed

Strategic outcomes

Cost efficiencyEliminated much manual indexing and data entryOther strategic outcomeMade public records accessible online in secondsScale & capacityEnabled higher request volumes without increasing headcountCustomer experience & trustImproved accessibility for citizens and title companiesRisk & complianceStrengthened government-grade security and auditability

Catalog median for time & speed deployments: −60% across 727 reported metrics. Compare benchmarks →

Primary read

Use case focus

Showing 3 of 4

1Document processing automation
2Semantic search
3Multilingual communication

County governments stored records across paper, microfilm, PDFs, and multiple systems, making search and retrieval slow and labor-intensive.
Public records requests created bottlenecks for staff, citizens, title companies, and county administrators.

Kofile built a multi-tenant SaaS platform on AWS using Amazon Bedrock for document intelligence.
The platform ingests multimodal documents at scale, extracts metadata and entities, classifies records, supports semantic and multilingual search, and provides analytics dashboards with government-grade security and compliance controls.

Technologies

Amazon Bedrock AWS identity services AWS KMS Amazon S3 Amazon OpenSearch Service

Citizen search times dropped from hours to seconds.
Automated classification and metadata extraction eliminated much manual data entry.
Staff can handle higher request volumes without increasing headcount.

Architecture

A cloud-centered multi-tenant SaaS architecture on AWS ingests documents from scanners, digital repositories, and bulk uploads into an automated AI processing pipeline. The system uses Amazon Bedrock for document intelligence, vectorizes and indexes records for semantic search, supports multilingual interaction and translation, and applies security controls including customer-managed keys, TLS, role-based access controls, federation, audit trails, multi-AZ deployment, backup, and cross-Region replication.

Sources & evidence1

Groundedness: 4/5Type: Blog PostPublished: May 5, 2026Publisher: AWSEvidence: VendorConfidence: Medium

Primary source

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