OpenText eDOCS - Azure AI Document Intelligence Integration and Automation

Common Integration Use Cases Between OpenText eDOCS and Azure AI Document Intelligence

1. Matter Intake and Document Classification for Legal Files

Flow: Azure AI Document Intelligence ? OpenText eDOCS

Incoming client documents, pleadings, contracts, and correspondence are processed by Azure AI Document Intelligence to extract key metadata such as client name, matter number, document type, dates, and parties. The validated metadata is then used to automatically file the document into the correct matter workspace in OpenText eDOCS.

• Reduces manual filing and indexing effort for legal operations teams
• Improves consistency in matter-based document organization
• Speeds up document availability for attorneys and paralegals

2. Automated Invoice and Legal Expense Processing

Flow: Azure AI Document Intelligence ? OpenText eDOCS ? Finance or ERP system

Vendor invoices, expert witness bills, and litigation expense documents are captured and analyzed by Azure AI Document Intelligence to extract invoice number, amount, vendor, tax, and cost center details. The original document is stored in OpenText eDOCS, while extracted data is routed to finance workflows for approval and payment processing.

• Shortens invoice handling cycles
• Improves auditability by linking invoices to supporting documents
• Supports legal spend control and budget tracking

3. Contract Review and Clause Metadata Capture

Flow: OpenText eDOCS ? Azure AI Document Intelligence ? OpenText eDOCS

Executed contracts stored in OpenText eDOCS are sent to Azure AI Document Intelligence for extraction of clause-level information such as renewal dates, termination terms, governing law, indemnity language, and signature status. The enriched metadata is written back to OpenText eDOCS to improve search, reporting, and obligation tracking.

• Enables faster contract retrieval and review
• Supports renewal and obligation management
• Improves visibility into contract risk and compliance terms

4. Litigation Discovery Document Triage

Flow: OpenText eDOCS ? Azure AI Document Intelligence ? OpenText eDOCS

Large sets of discovery documents, including scanned correspondence, emails, and exhibits, are exported from OpenText eDOCS and processed by Azure AI Document Intelligence to identify document type, dates, sender, recipient, and other relevant fields. The extracted metadata is returned to eDOCS to support faster review, tagging, and privilege screening.

• Accelerates eDiscovery preparation
• Reduces manual review workload for legal teams
• Improves document sorting for case strategy and production

5. Client Onboarding and KYC Document Capture

Flow: Azure AI Document Intelligence ? OpenText eDOCS ? CRM or case management system

Client onboarding packets, identification documents, corporate registrations, and signed engagement letters are processed by Azure AI Document Intelligence to extract names, addresses, entity details, and document completeness indicators. The documents are stored in OpenText eDOCS under the relevant matter or client record, while extracted data is passed to downstream systems for onboarding validation.

• Speeds up client intake and matter opening
• Reduces errors in client master data
• Supports compliance checks and record completeness

6. Court Filing and Regulatory Submission Preparation

Flow: OpenText eDOCS ? Azure AI Document Intelligence ? OpenText eDOCS

Documents prepared for court filing or regulatory submission are analyzed by Azure AI Document Intelligence to verify required fields, signatures, dates, and form completeness. The results are used to flag missing information before final filing, while the approved version is retained in OpenText eDOCS as the controlled record.

• Reduces filing rejections and resubmissions
• Improves document quality control before submission
• Creates a reliable archive of final filed versions

7. Legal Records Enrichment and Search Optimization

Flow: OpenText eDOCS ? Azure AI Document Intelligence

Archived legal documents in OpenText eDOCS are periodically sent to Azure AI Document Intelligence to extract additional metadata from legacy or poorly indexed files. The enriched data is written back to eDOCS to improve search accuracy, matter reporting, and records retention classification.

• Unlocks value from legacy document repositories
• Improves search and retrieval across large legal archives
• Supports records governance and retention policy enforcement

8. Exception Handling for Unstructured Legal Correspondence

Flow: Azure AI Document Intelligence ? OpenText eDOCS ? Workflow or case management system

Unstructured correspondence such as scanned letters, notices, and third-party communications is processed by Azure AI Document Intelligence to identify sender, subject, dates, and key entities. Documents that meet defined rules are automatically filed in OpenText eDOCS, while exceptions are routed to legal support staff for manual review and assignment.

• Improves handling of high-volume incoming correspondence
• Ensures important notices are not missed
• Creates a controlled exception process for ambiguous documents