OpenText Lens - Data Visibility - Google Document AI Integration and Automation

Common Integration Use Cases Between OpenText Lens - Data Visibility and Google Document AI

1. Unstructured Content Discovery and Document Classification Pipeline

Data flow: Google Document AI ? OpenText Lens - Data Visibility

Use Google Document AI to extract text, metadata, and document structure from scanned contracts, invoices, forms, and correspondence. Feed the extracted content into OpenText Lens - Data Visibility to identify where sensitive, regulated, or business-critical information exists across repositories. This helps records, compliance, and data governance teams quickly classify large volumes of previously unsearchable content and prioritize remediation.

Business value: Faster content discovery, improved classification accuracy, and reduced manual review effort.

2. Sensitive Data Detection for Compliance and Risk Reduction

Data flow: Google Document AI ? OpenText Lens - Data Visibility

When Document AI processes incoming documents, extracted data can be analyzed by OpenText Lens to detect personally identifiable information, financial records, health information, or other regulated content stored across shared drives, ECM systems, and archives. Compliance teams can then identify exposure risks, apply retention rules, or trigger legal hold reviews based on the content profile.

Business value: Better compliance readiness, lower risk of data exposure, and more targeted governance actions.

3. Migration Readiness Assessment for Legacy Document Repositories

Data flow: OpenText Lens - Data Visibility ? Google Document AI

Before migrating legacy repositories to a new platform or content service, OpenText Lens can identify redundant, obsolete, or trivial documents and map high-risk content categories. The selected documents can then be routed to Google Document AI for extraction and structuring during migration, enabling downstream indexing, search, and workflow automation in the target environment.

Business value: Smaller migration scope, lower storage and migration costs, and cleaner target data.

4. Intelligent Invoice and Form Processing with Governance Oversight

Data flow: Google Document AI ? OpenText Lens - Data Visibility

Accounts payable, procurement, or operations teams can use Google Document AI to extract fields from invoices, purchase orders, claims, and application forms. OpenText Lens then scans the resulting document corpus to determine whether these files contain duplicate records, outdated versions, or sensitive attachments that should be retained, archived, or disposed of according to policy.

Business value: Faster document processing plus stronger control over retention and duplication.

5. Enterprise Records Management and Retention Enforcement

Data flow: Bi-directional

Google Document AI extracts document content and metadata from incoming records, while OpenText Lens continuously monitors repositories to identify content that matches retention, legal, or privacy rules. The integration can support automated routing of documents into records classes, flagging of noncompliant content, and periodic review of stored documents for disposition eligibility.

Business value: More consistent records management, reduced manual classification, and improved auditability.

6. Due Diligence and Contract Review Acceleration

Data flow: Google Document AI ? OpenText Lens - Data Visibility

Legal and corporate development teams can use Google Document AI to extract clauses, parties, dates, and obligations from large contract sets, then use OpenText Lens to locate related documents across repositories and identify sensitive or outdated versions. This is especially useful during mergers, acquisitions, vendor reviews, and litigation preparation.

Business value: Faster due diligence, better document completeness, and reduced risk of missing critical content.

7. Content Cleanup and Archive Rationalization Program

Data flow: OpenText Lens - Data Visibility ? Google Document AI

OpenText Lens can identify high-volume repositories containing scanned or image-based documents that are candidates for cleanup or archival rationalization. Selected documents can be sent to Google Document AI for extraction and indexing so that business users retain searchability even after older systems are decommissioned or content is moved to lower-cost storage.

Business value: Lower infrastructure costs, improved archive usability, and safer decommissioning of legacy systems.

8. Cross-Functional Exception Handling for High-Risk Documents

Data flow: Bi-directional

When Google Document AI detects document types such as tax forms, identity documents, or regulated submissions, OpenText Lens can assess where those files are stored and whether they violate policy by being duplicated in unauthorized locations. Exceptions can be routed to compliance, security, or business owners for review, while approved documents are retained in governed repositories.

Business value: Faster exception resolution, stronger policy enforcement, and better coordination between business and governance teams.