OpenText Magellan Text Mining Engine - Preservica Integration and Automation

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

OpenText Magellan Text Mining Engine and Preservica complement each other well in environments where organizations must analyze large volumes of unstructured content and preserve records with long-term integrity. Magellan extracts meaning from documents, emails, reports, and case files, while Preservica provides secure, compliant digital preservation, retention, and access management. Together, they support better discovery, governance, and lifecycle control across legal, compliance, archives, and intelligence workflows.

1. Automated classification of archived content for retention and discovery

Data flow: Preservica to OpenText Magellan Text Mining Engine, then back to Preservica

Preservica can pass newly ingested records, scanned documents, and legacy files to Magellan for entity extraction, topic detection, and document classification. The extracted metadata is then written back into Preservica to improve indexing, retention tagging, and searchability. This helps records teams reduce manual cataloging effort and ensures archived content is easier to locate during audits, legal review, or public records requests.

2. Legal hold and eDiscovery support for preserved records

Data flow: Preservica to OpenText Magellan Text Mining Engine

When a legal hold is triggered, Preservica can provide the relevant preserved records to Magellan for rapid text analysis across large collections. Magellan identifies names, organizations, dates, case references, and key topics, helping legal teams narrow the review set and prioritize responsive documents. This reduces time spent on manual review and improves defensibility in litigation and investigations.

3. Compliance monitoring of historical correspondence and policy records

Data flow: Preservica to OpenText Magellan Text Mining Engine, with alerts or findings returned to compliance teams

Organizations often preserve emails, memos, and policy documents for regulatory reasons but struggle to analyze them at scale. Preservica stores the records in a compliant archive, while Magellan scans the content to detect risky language, recurring compliance themes, or references to regulated activities. Compliance teams can use the findings to identify patterns across historical records and support internal audits or regulatory inquiries.

4. Enrichment of archival metadata for improved access and research

Data flow: Preservica to OpenText Magellan Text Mining Engine to Preservica

For archives, museums, libraries, and corporate heritage programs, Magellan can extract subjects, people, places, and relationships from preserved documents and correspondence. That enriched metadata can be stored in Preservica to improve collection discovery and support researchers, historians, and internal users. This is especially valuable when legacy records were ingested with minimal metadata and need better contextual description.

5. Investigation support for risk, fraud, and intelligence teams

Data flow: Preservica to OpenText Magellan Text Mining Engine

Preservica can retain case files, reports, and evidence packages over long periods, while Magellan analyzes those records to uncover connections between entities, events, and communications. Risk and investigation teams can use the extracted relationships to identify patterns across archived cases, detect repeat subjects, and accelerate background analysis. This creates a stronger evidence base for internal investigations and threat assessments.

6. Long-term preservation of analytical outputs and audit trails

Data flow: OpenText Magellan Text Mining Engine to Preservica

Outputs from Magellan, such as extracted entities, classification results, topic models, and review summaries, can be preserved in Preservica as part of the official record. This is useful when organizations need to demonstrate how a decision was made, retain analytical evidence, or preserve investigation artifacts for future reference. It supports auditability and ensures analytical work products remain accessible even after source systems change.

7. Records triage and disposition support for large content backlogs

Data flow: Preservica to OpenText Magellan Text Mining Engine, then back to Preservica

During records cleanup or migration programs, Preservica can supply large batches of legacy content to Magellan for content-based analysis. Magellan identifies document type, sensitivity indicators, and business relevance, allowing records managers to apply more accurate retention decisions in Preservica. This reduces the risk of over-retaining low-value content and helps organizations focus preservation resources on records with legal, operational, or historical value.

8. Cross-functional search across preserved collections and analytical insights

Data flow: Bi-directional

Preservica can serve as the trusted repository for preserved content, while Magellan provides semantic enrichment and advanced text analytics. By synchronizing metadata, extracted entities, and topic tags between the two platforms, business users can search preserved records using richer context and analysts can work from a more complete content set. This improves collaboration between records management, legal, compliance, and investigative teams and shortens the time needed to find relevant information.