equivio - zoom in find out
equivio - zoom in find out
Zoom for E-Discovery
Only for cases you want to win

What is Zoom?

Zoom is a platform for analytics and predictive coding.  Zoom enables you to zoom in on the data that’s important to you.  In e-discovery, Zoom is used to make sense of the case, pinpoint key documents, cull the collection and organize the review.  Zoom is fully integrated with all major e-discovery platforms via a streamlined workflow:

  • Import. 
    Extracts text and metadata from either raw ingest data or hosting system (Relativity, Law, IPRO, iCONECT etc.). Creates search index. Generates data profiles for ECA.
  • Analyze.
    De-duping. Near-duping. Email threading. Themes (aka new generation clustering). Language detection. Search. Keyword analysis. Metadata faceting.
  • Relevance.
    Predictive coding. Train Relevance to find the relevant documents.
  • Export.
    Use Zoom’s decision support system to select relevant documents for export. Overlay metadata criteria. Export analytics results (in the form of Equivio-generated metadata) to the hosting system. 

Zoom ahead. Why Zoom is the choice of e-discovery leaders.

Zoom is the world’s #1 analytics and predictive coding application for e-discovery. Time and again, Zoom is selected in head-to-head evaluations by leading service providers, law firms and corporations. Why?  Because the differences between analytics technologies can be decisive in determining litigation outcomes. In shaping winners and losers. In governing levels of cost. This is how people explain their decision to choose Zoom:

  • Zoom finds more of the relevant documents
  • Zoom helps explore the data faster with meaningful clusters
  • Zoom minimizes review volume and maximizes review efficiency
  • Zoom interprets email conversations accurately. The thread is never distorted and there is never any data missing. Ever.
  • Zoom provides statistically defensible results
  • Zoom is proven. The core technologies have been proven in thousands of cases

This is how our customers think about things. They want to minimize review costs. They look to minimize risk. They prefer to win. So they choose Zoom.


Zoom in. Find out.

  • Find out.
    • Use Themes to browse the collection, find interesting topics, deep dive
    • Zoom in on key documents to estimate case risk and winnability
    • Prioritize review efforts by focusing on the key data
  • Lower risk.
    • Discharge discovery obligations by finding more of the relevant data
    • Reduce review inconsistencies by reviewing near-duplicate documents as a set, and emails as part of a thread
    • Enable systematic QA of review by cross-matching relevance scores against human review tags.
  • Lower costs.
    • Use Relevance to filter non-relevant documents:
      • The result is a significant reduction in review volumes and costs
      • Some firms have even eliminated the need for first-pass review
    • Address proportionality considerations. Use the decision-support environment to determine the size of the review set
    • Stratify review by assigning high-potential documents for high-grade review, and low-potential documents for low-cost review
    • Accelerate review speed via set-centric review:
      • Review groups of near-duplicates and email threads
      • Organize review by thematic clusters 

Close-up of Zoom

  • Import.
    • Text extract
    • Metadata extract
    • Data profiling for early case assessment
    • Import plug-ins
  • Analysis.
    • Near-dupes
    • Exact dupes
    • Email threads
    • Clustering (aka Themes)
    • Find similar
    • Pivot analysis
    • Complex search
    • Metadata faceting
    • Conceptual search
    • Keyword expansion
    • Regular expressions
    • Language detection
    • Keyword analysis
  • Relevance for predictive coding.
  • Export.
    • Export templates
    • Data selection using relevance scores, keywords and metadata facets
    • Review batching
    • Full text export
    • Export plug-ins