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OpenText Axcelerate Investigation

Expedite early case assessment and investigations

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OpenText Axcelerate Investigation overview

Discover how an integrated early case assessment and investigation platform quickly surfaces critical facts

With an increase in regulation, electronically stored information types and data volumes, data privacy mandates and security threats, the magnitude and urgency of legal matters is rising. Efficiently assessing data and finding the information that will tell the story quickly yet comprehensively is critical. OpenText™ Axcelerate™ Investigation, a purpose-built data investigation platform, combines data collection and processing capabilities with full text indexing, stackable metadata filters and powerful investigation analytics to help teams find the facts for rapid insight and action.

Why use analytics for early insight into data?

Data analytics empower legal and investigations teams to quickly explore any size data sets to find facts, assess risks, weigh the strengths and weaknesses of a matter for early case assessments or eDiscovery investigations, make strategic case decisions, and take action.

The best early case assessment tools offer advanced data analytics to surface critical facts and underlying patterns with maximum efficiency and accuracy as well as facilitate the seamless transfer of data requiring full review and production to a unified platform.

Pull ahead with speedy ECA

Learn how next-gen technology accelerates early insight into data for rapid case decision-making.

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OpenText Axcelerate Investigation features

  • Predictive search

    Saves time by immediately finding similar documents across the entire data set with machine learning and predictive coding functionality on-the-fly and without the workflow.

  • Concept analysis

    Groups documents based on the contextual meaning of associated common phrases to get context beyond keywords and code names.

  • Phrase analysis

    Allows users to include or exclude two to four-word phrases across the dataset to search with precision and breadth and discover terms that may otherwise be missed.

  • Sentiment analysis

    Categorizes documents by positive, negative or neutral sentiments to offer a faster and deeper understanding of data.

  • Visualizer and hypergraph communications map

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

  • Entity identification

    Automatically surfaces the names of people, places and organizations with integrated detection tools to achieve additional layers of insight for communications analysis and investigations.

  • Efficient end-to-end workflow

    Offers integrated collection with extensive connectors, processing and analysis. When full review and production is needed, automatically uploads all data and work product to Axcelerate OnDemand.

Customer success stories

OpenText Axcelerate Investigation benefits

  • Dramatically improve efficiency

    Crawl and collect data wherever it resides, from ECM systems to email, cloud repositories and more. Speed access to the facts with advanced analytics and machine learning—without cumbersome data mapping and data exports between systems.

  • Gain early insight for strategic advantage

    Use advanced analytics and machine learning to identify key documents and fact patterns, assess risks and strengths and quickly make decisions with confidence.

  • Lower risk

    Reduce reliance on disparate point tools, vendors and data imports and exports with a single system that ensures tight control over data, from collection through investigation, on-premises, in the cloud or in a true hybrid environment.

  • Flexibly deploy based on the environment

    Use on-premises to keep sensitive data onsite or OnDemand in the cloud. Move data for cases that warrant full review and production seamlessly to the full Axcelerate platform in the cloud for parallel or subsequent review.

Contact us to speak with a member of the Legal Tech team