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OpenText Magellan Text Mining Engine - OpenText Legal Hold Integration and Automation

Integrate OpenText Magellan Text Mining Engine Artificial intelligence (AI) and OpenText Legal Hold Document Management apps with any of the apps from the library with just a few clicks. Create automated workflows by integrating your apps.

Common Integration Use Cases Between OpenText Magellan Text Mining Engine and OpenText Legal Hold

1. Automated legal hold trigger from text analytics findings

OpenText Magellan Text Mining Engine can analyze emails, chat transcripts, case notes, and shared documents to detect litigation-related terms, investigation indicators, or references to named matters. When it identifies a likely legal event, it can send a structured alert to OpenText Legal Hold to initiate a hold workflow for the relevant matter. This reduces the time between issue detection and preservation action, helping legal teams prevent accidental deletion of potentially relevant content.

Data flow: OpenText Magellan Text Mining Engine to OpenText Legal Hold

2. Prioritization of custodians and content for hold review

Magellan can extract entities such as employee names, project codes, client names, and case references from large document sets and rank documents by relevance to a matter. OpenText Legal Hold can use these insights to help legal teams identify which custodians and repositories should be placed on hold first. This improves hold scoping accuracy and reduces over-preservation, lowering downstream eDiscovery costs.

Data flow: OpenText Magellan Text Mining Engine to OpenText Legal Hold

3. Matter-based content classification to support hold scope definition

Legal teams often need to define the scope of a hold quickly using incomplete information. Magellan can classify documents by topic, issue, and relationship patterns, then provide a summary of likely relevant content by matter. OpenText Legal Hold can consume this classification to help administrators define hold notices, custodian groups, and content categories more precisely. This creates a more defensible and consistent preservation process.

Data flow: OpenText Magellan Text Mining Engine to OpenText Legal Hold

4. Continuous monitoring for new relevant content during an active hold

While a legal hold is active, Magellan can continuously scan newly ingested content for references to the matter, key people, or related events. If new relevant documents are found, it can notify OpenText Legal Hold so the legal team can update custodian lists or expand the hold to additional repositories. This helps organizations avoid gaps in preservation when matters evolve over time.

Data flow: Bi-directional, with OpenText Legal Hold providing active matter context and OpenText Magellan Text Mining Engine returning new relevance signals

5. Exception detection for potential hold violations

Magellan can analyze text in deletion requests, retention exception tickets, or user communications to detect references to held matters, custodians, or restricted content. If a possible violation is identified, OpenText Legal Hold can be notified to block the action or escalate it for legal review. This supports stronger compliance controls and reduces the risk of spoliation.

Data flow: OpenText Magellan Text Mining Engine to OpenText Legal Hold

6. Investigation support for hold expansion decisions

During internal investigations, legal and compliance teams may need to determine whether a hold should be expanded beyond the original custodian set. Magellan can analyze related documents to uncover hidden connections, recurring entities, and emerging topics that indicate additional relevant custodians or data sources. OpenText Legal Hold can then use these findings to update the hold scope and document the rationale for the change. This improves defensibility and speeds investigation response.

Data flow: OpenText Magellan Text Mining Engine to OpenText Legal Hold

7. Hold effectiveness reporting and matter analytics

OpenText Legal Hold can provide matter and custodian status information, while Magellan can analyze associated communications and documents to identify trends such as repeated references to the matter, high-risk topics, or concentration of relevant content in specific departments. Together, the platforms can generate operational reports that show whether the hold is capturing the right information and where additional action may be needed. This gives legal and compliance leaders better visibility into preservation effectiveness.

Data flow: Bi-directional, with OpenText Legal Hold supplying hold metadata and OpenText Magellan Text Mining Engine supplying analytical insights

8. Legal hold knowledge enrichment for downstream review teams

Magellan can enrich held content with extracted entities, topics, and relationship maps before it is handed off to review or eDiscovery teams. OpenText Legal Hold can pass matter identifiers and custodian context to Magellan so the text mining results are aligned to the correct legal matter. This reduces manual review effort, improves search precision, and helps reviewers focus on the most relevant documents first.

Data flow: Bi-directional, with OpenText Legal Hold providing matter context and OpenText Magellan Text Mining Engine returning enriched content metadata

How to integrate and automate OpenText Magellan Text Mining Engine with OpenText Legal Hold using OneTeg?