OpenText Magellan Text Mining Engine - Azure AI Document Intelligence Integration and Automation

Common Integration Use Cases Between OpenText Magellan Text Mining Engine and Azure AI Document Intelligence

1. Contract and legal document review workflow

Data flow: Azure AI Document Intelligence ? OpenText Magellan Text Mining Engine

Azure AI Document Intelligence extracts text, clauses, parties, dates, and key fields from contracts, amendments, and legal correspondence. OpenText Magellan Text Mining Engine then analyzes the extracted content to identify obligations, risk terms, unusual clauses, entity relationships, and recurring patterns across large contract sets.

• Speeds up legal review for procurement, sales, and compliance teams
• Helps identify non-standard terms and hidden risk across thousands of documents
• Supports contract analytics, clause comparison, and litigation preparation

2. Claims and case file triage for insurance or investigations

Data flow: Azure AI Document Intelligence ? OpenText Magellan Text Mining Engine

Azure AI Document Intelligence captures structured data from claim forms, incident reports, supporting documents, and scanned evidence. OpenText Magellan Text Mining Engine then mines the narrative text to detect entities, events, sentiment, and relationships that may indicate fraud, escalation, or case complexity.

• Improves first-pass triage and prioritization of high-risk cases
• Reduces manual review of large claim or investigation files
• Helps investigators connect people, places, events, and documents faster

3. Regulatory compliance monitoring from document repositories

Data flow: Azure AI Document Intelligence ? OpenText Magellan Text Mining Engine

Organizations can use Azure AI Document Intelligence to extract text from policies, filings, audit evidence, and regulatory submissions. OpenText Magellan Text Mining Engine then classifies topics, identifies compliance-relevant terms, and surfaces references to obligations, exceptions, and control gaps.

• Supports compliance teams in monitoring large volumes of regulatory content
• Improves audit readiness by finding missing or inconsistent information
• Enables faster review of policy updates, attestations, and evidence packs

4. Due diligence and M and A document analysis

Data flow: Azure AI Document Intelligence ? OpenText Magellan Text Mining Engine

During mergers, acquisitions, or vendor due diligence, Azure AI Document Intelligence extracts data from financial statements, board packs, leases, customer contracts, and supporting exhibits. OpenText Magellan Text Mining Engine then analyzes the content to uncover risks, dependencies, recurring obligations, and unusual language across the target document set.

• Accelerates review of large virtual data rooms
• Helps identify hidden liabilities and operational dependencies
• Provides analysts with searchable insights across unstructured deal documents

5. Customer correspondence and complaint intelligence

Data flow: Azure AI Document Intelligence ? OpenText Magellan Text Mining Engine

Azure AI Document Intelligence extracts text from letters, emails, scanned complaints, and supporting attachments. OpenText Magellan Text Mining Engine then analyzes themes, sentiment, recurring issues, and named entities to help customer service, quality, and product teams understand root causes.

• Improves complaint categorization and escalation handling
• Identifies recurring product or service issues across channels
• Supports faster feedback loops to operations and product management

6. Intelligence and case file enrichment for public sector or security teams

Data flow: Azure AI Document Intelligence ? OpenText Magellan Text Mining Engine

For intelligence, security, or public sector workflows, Azure AI Document Intelligence can extract text from reports, scanned forms, witness statements, and seized documents. OpenText Magellan Text Mining Engine then identifies entities, affiliations, topics, and relationships to support link analysis and case building.

• Helps analysts process large volumes of mixed-format evidence
• Improves entity resolution and relationship discovery
• Supports faster development of investigative leads and case summaries

7. Closed-loop document enrichment for enterprise search and analytics

Data flow: Bi-directional

Azure AI Document Intelligence extracts structured fields and text from incoming documents, while OpenText Magellan Text Mining Engine adds semantic tags, topics, and relationship metadata. The enriched output can be written back to ECM, DAM, or business systems for enterprise search, reporting, and downstream workflow automation.

• Creates a richer metadata layer for document repositories
• Improves search relevance and analytics across business content
• Enables automated routing based on document meaning, not just file type

8. Exception handling for high-volume document operations

Data flow: Azure AI Document Intelligence ? OpenText Magellan Text Mining Engine

In invoice, onboarding, or records processing, Azure AI Document Intelligence extracts core fields and identifies documents that do not fit standard templates. OpenText Magellan Text Mining Engine then analyzes exception notes, supporting correspondence, and free-text content to determine the reason for the exception and recommend the correct handling path.

• Reduces manual exception review in shared service centers
• Improves routing to finance, operations, or compliance teams
• Shortens cycle times for non-standard documents