OpenText Magellan Text Mining Engine - OpenText eDOCS Integration and Automation

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

1. Automated matter document classification and filing

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

Documents stored in eDOCS, such as pleadings, contracts, correspondence, and discovery files, are sent to Magellan for text analysis. Magellan identifies document type, key entities, topics, and matter relevance, then returns classification tags and suggested filing metadata to eDOCS.

• Reduces manual indexing and folder assignment
• Improves consistency in matter-centric document organization
• Speeds up intake for legal teams handling high document volumes

2. Privilege and confidentiality risk detection

Data flow: OpenText eDOCS to OpenText Magellan Text Mining Engine

Documents in eDOCS are analyzed to detect sensitive language, privileged communications, personal data, or references to regulated topics. Magellan flags potentially risky content for review before external sharing, production, or retention actions.

• Supports legal review and compliance screening
• Helps reduce accidental disclosure of privileged or confidential information
• Improves defensibility in litigation and regulatory response workflows

3. Matter intelligence and relationship discovery

Data flow: OpenText eDOCS to OpenText Magellan Text Mining Engine, with results surfaced in OpenText eDOCS

Magellan analyzes collections of matter-related documents to identify people, organizations, locations, dates, and relationships across emails, memos, and attachments. The extracted intelligence is then linked back to the relevant matter in eDOCS for legal teams to review.

• Helps attorneys quickly understand document sets
• Surfaces hidden connections across large matter files
• Supports investigations, due diligence, and case strategy

4. Automated issue spotting for legal review

Data flow: OpenText eDOCS to OpenText Magellan Text Mining Engine

Legal teams can send contract sets, investigation files, or regulatory correspondence from eDOCS to Magellan to identify recurring issues, obligations, exceptions, and unusual language patterns. Results can be used to prioritize review queues and focus attorney attention on high-risk documents.

• Improves review efficiency for large-scale legal matters
• Helps standardize issue identification across teams
• Reduces time spent on low-value manual reading

5. Search enhancement with semantic insights

Data flow: Bi-directional, with OpenText Magellan Text Mining Engine enriching search in OpenText eDOCS

Magellan can enrich eDOCS search by adding extracted entities, topics, and relationships to document metadata. Users searching in eDOCS can find documents not only by filename or folder, but also by concept, subject matter, or named party.

• Improves discoverability of legacy content
• Helps users find relevant documents faster
• Supports legal teams working across large, complex repositories

6. Litigation and investigation triage

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

When a new litigation hold, internal investigation, or regulatory inquiry begins, relevant documents are pulled from eDOCS and analyzed in Magellan to identify likely responsive content, key custodians, and important themes. The findings are then stored in eDOCS as matter notes, tags, or review categories.

• Accelerates early case assessment
• Improves prioritization of review work
• Creates a repeatable process for legal and risk teams

7. Knowledge capture from closed matters

Data flow: OpenText eDOCS to OpenText Magellan Text Mining Engine, with summarized outputs stored in OpenText eDOCS

At matter close, historical documents in eDOCS are analyzed to extract recurring clauses, common dispute themes, key counterparties, and lessons learned. The results are stored back in eDOCS as structured knowledge assets for future reuse by legal teams.

• Turns closed matters into reusable institutional knowledge
• Improves consistency in future legal work
• Supports precedent research and matter planning

8. Compliance monitoring across legal document repositories

Data flow: OpenText eDOCS to OpenText Magellan Text Mining Engine, with alerts or tags returned to OpenText eDOCS

Organizations can periodically analyze eDOCS content to detect policy violations, retention issues, regulated terms, or references to restricted activities. Magellan flags documents for compliance review and updates eDOCS metadata so legal and compliance teams can act quickly.

• Strengthens ongoing compliance oversight
• Supports audit readiness and policy enforcement
• Reduces reliance on manual spot checks