OpenText Magellan Text Mining Engine - Glean Integration and Automation

Common Integration Use Cases Between OpenText Magellan Text Mining Engine and Glean

OpenText Magellan Text Mining Engine is strong at extracting entities, topics, sentiment, and relationships from large volumes of unstructured content for compliance, legal, risk, and investigation workflows. Glean is designed to help employees find and act on enterprise knowledge across connected systems using AI-powered search and answers. Together, they can turn raw document intelligence into searchable, reusable business knowledge and route relevant insights to the right teams faster.

1. Enrich enterprise search with extracted entities and topics

Data flow: OpenText Magellan Text Mining Engine to Glean

Magellan processes contracts, case files, emails, reports, and investigation documents to extract people, organizations, locations, topics, and relationships. Those extracted metadata fields are then indexed in Glean so users can search by business concepts instead of only file names or full text.

• Improves discovery of relevant documents across legal, compliance, and risk repositories
• Reduces time spent manually reading large document sets
• Helps teams find all content tied to a specific entity, matter, or issue

2. Surface compliance and investigation signals in employee search results

Data flow: OpenText Magellan Text Mining Engine to Glean

Magellan can identify suspicious patterns, regulatory terms, policy violations, or recurring risk themes in internal documents. Glean can then present these insights to compliance analysts, auditors, or investigators as searchable summaries and related source documents.

• Speeds up triage of potential compliance issues
• Helps investigators quickly locate supporting evidence
• Creates a single search experience across policies, case notes, and source records

3. Create AI-ready knowledge cards from unstructured document collections

Data flow: OpenText Magellan Text Mining Engine to Glean

Magellan can convert large document collections into structured knowledge objects such as topic summaries, entity profiles, and relationship maps. Glean can ingest these outputs as knowledge cards or indexed summaries that employees can search and reuse.

• Turns document-heavy research into reusable business knowledge
• Supports faster onboarding for analysts and investigators
• Reduces duplicate analysis across teams

4. Enable case teams to find related work across departments

Data flow: Bi-directional

Magellan extracts key entities and themes from case files, while Glean indexes those outputs alongside related documents from collaboration tools, ticketing systems, and knowledge bases. Users can search a case in Glean and discover both the original files and the Magellan-derived insights, then feed newly relevant documents back into Magellan for deeper analysis.

• Connects legal, compliance, HR, and security teams around shared cases
• Improves continuity when multiple teams work on the same matter
• Supports iterative investigation and review workflows

5. Accelerate policy and regulatory research

Data flow: OpenText Magellan Text Mining Engine to Glean

Magellan can analyze regulatory updates, policy documents, and external intelligence to identify obligations, themes, and changes over time. Glean can make those findings searchable for legal, compliance, and operations teams so they can quickly locate the latest guidance and supporting references.

• Reduces manual review of long regulatory documents
• Helps teams compare obligations across jurisdictions or business units
• Improves consistency in policy interpretation

6. Improve due diligence and third-party risk review

Data flow: OpenText Magellan Text Mining Engine to Glean

Magellan can analyze vendor contracts, questionnaires, adverse media, and internal assessments to extract risk indicators and recurring issues. Glean can then provide procurement, legal, and risk teams with a searchable view of third-party profiles, risk themes, and source evidence.

• Speeds up vendor screening and due diligence
• Helps teams compare third parties using consistent risk signals
• Supports faster escalation of high-risk findings

7. Support knowledge reuse for legal and investigative teams

Data flow: OpenText Magellan Text Mining Engine to Glean

Magellan can identify precedent cases, recurring allegations, named parties, and issue patterns from prior matters. Glean can expose those insights to attorneys, paralegals, and investigators so they can quickly find similar cases, prior findings, and relevant internal expertise.

• Reduces repeated manual research
• Improves consistency in case handling
• Helps teams leverage prior work product more effectively

8. Feed user search behavior back into text mining priorities

Data flow: Glean to OpenText Magellan Text Mining Engine

Search trends in Glean can reveal which topics, entities, and document sets employees are actively looking for. That usage data can be sent back to Magellan to prioritize new text mining models, refine extraction rules, or focus analysis on emerging risk areas.

• Aligns text mining efforts with real business demand
• Helps identify emerging issues earlier
• Improves the relevance of extracted insights over time