Overview

OpenText™ Investigation is a comprehensive ECA and investigation solution with front-loaded analytics. With OpenText Investigation, users can quickly find the key evidence to evaluate cases faster, make strategic decisions and speed through early case assessment (ECA) and investigations.

How OpenText Investigation can benefit business

Save on downstream review with efficient collection

Crawl and collect data from wherever it resides, from ECM systems to email, cloud repositories and more, to efficiently capture but limit data collected to avoid unnecessary downstream review costs.

Quickly identify additional witnesses and custodians

Gain rapid insight into the connections between individuals—key witnesses and involved parties—and their conversation chains, ensuring that all key evidence is identified.

Make fast case strategy decisions

Use front-end analytics to quickly and easily uncover the information that puts all the pieces of the story together for accurate evaluation of the strengths and weaknesses of the case and well-founded strategic case decisions.

Reduce review and production costs

Send data to OpenText™ Investigation OnDemand when full production and review is needed for a matter, leveraging powerful technology-assisted review, automated identification and bulk redaction of sensitive data and automation to save on time and costs.

Flexible deployment options

Choose to deploy on-premises or in the cloud, ensuring the confidentiality of sensitive data while allowing collaborative review and production.

Why OpenText Investigation?

Find facts fast with front-loaded analytics

Go beyond traditional ECA tools with addition of front-loaded analytics and machine learning to identify key documents, assess risks and strengths and quickly make case decisions.

Eliminate inefficiency and costs of eDiscovery point solutions

Use one platform, rather than many disparate products, for data identification, collection, processing and analysis for more efficient workflow.

Key features

Identification, collection and culling

Offers more than 45 connectors to data sources for efficient identification and collection of potentially relevant data, along with automated de-NISTing, deduplication and email threading to avoid needless review downstream.

Automated concept groups and phrase analytics

Automatically identifies concepts and phrases to search with precision and breadth, ensuring a comprehensive review.

Predictive search

Uses known examples of key evidence to uncover data with similar concepts, phrases and context and quickly find relevant data.

Visualizer and hypergraph communications map

Uncovers hidden data and communication patterns, quickly surfacing key evidence and additional custodians and witnesses, while seeing associations between data, to ensure nothing is overlooked.

Advanced text analytics for additional insights

Offers automated entity identification to show people, places and organizations; document summaries to quickly show context; sentiment analysis to see attitude and emotion, and fact vs. opinion analysis to see if assertions are substantiated.

Seamless upload for full review and production

Uploads data and work product seamlessly to the full OpenText™ eDiscovery solution for review, including technology-assisted review, and production.