Data Quadrant Awards 2020

eDiscovery


SoftwareReviews names DISCO Review, Epiq, GoldFynch, Nuix Discover, D4 eDiscovery, OpenText eDiscovery Suite, and Sherpa eDiscovery as eDiscovery Data Quadrant Award Winners.

eDiscovery

Data Quadrant

Data Quadrants are proudly founded in 100% user review data and are free of traditional “magical” components such as market presence and analyst opinion, which are opaque in nature and may be influenced by vendor pressure, financial or otherwise.

The SoftwareReviews Data Quadrant evaluates and ranks products based on feedback from IT and business professionals. The placement of a software in the Data Quadrant indicates its relative ranking as well as its categorization.

Read The In-Depth Report

A thorough evaluation and ranking of all software in an individual category to compare software across every dimension.

  • user satisfaction rankings
  • |
  • vendor capability comparisons
  • |
  • business value scores
  • |
  • individual feature evaluations
  • |
  • emotional connection to products
Download Report View Preview
eDiscovery Data Quadrant

Note The axes ranges are dynamically adjusted based on minimum and maximum values in the dataset

Evaluate the Complete

Software Experience

When distilled down, the software experience is shaped by both the experience with the software and the relationship with the vendor. Evaluating enterprise software along these two dimensions provides a comprehensive understanding of the product and helps identify vendors that can deliver on both.

Product Features and Satisfaction

The satisfaction is captured in the overall satisfaction score, which is driven by the likelihood of users to recommend the software, combined with user satisfaction across top product features.

Vendor Experience and Capabilities

The vendor relationship is calculated in a weighted average of the satisfaction scores tied to vendor capabilities (e.g. software implementation, training, customer support, product roadmap) as well as emotional response ratings toward the vendor (e.g. trustworthy, respectful, fair).

Gold Medalists


Disco

DISCO Review

DISCO is an end-to-end ediscovery solution that provides next-generation SaaS review technology to give law firms, corporations, and government agencies total control over their data, workflows, and costs. DISCO’s clean, seamless, and intuitive user interface with customizable workflows, views, and security gives you control over your data.

8.6

Composite
Score

Composite
Score

+90

Emotional
Footprint

Emotional
Footprint

87%

Likeliness to
Recommend

Likeliness
to Recommend

data-quadrant-awards-badge 2020
15Reviews

Epiq

Epiq

Epiq helps you rise to every eDiscovery challenge—from the simplest data collection to the most complex document reviews. Each eDiscovery solution is customized to fit your needs, whether it’s project-based eDiscovery, a managed services partnership or document review services.

8.4

Composite
Score

Composite
Score

+95

Emotional
Footprint

Emotional
Footprint

83%

Likeliness to
Recommend

Likeliness
to Recommend

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11Reviews

GoldFynch

GoldFynch

GoldFynch is a feature-rich ediscovery with transparent and affordable pricing. Simple in-browser drag and drop uploads, all inclusive OCR, designed from group up and effortless workflows with predictable per case pricing which is affordable and offers no suprises.

8.2

Composite
Score

Composite
Score

+82

Emotional
Footprint

Emotional
Footprint

86%

Likeliness to
Recommend

Likeliness
to Recommend

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21Reviews

Nuix Pty Ltd

Nuix Discover

Nuix Discover gives you end-to-end eDiscovery firepower from collections to the courtroom so you can get to the truth faster. You get all the benefits of the world’s best processing, everyday analytics, and smart review in a single platform. Backed by innovative, integrated customer success programs, Nuix Discover is the trusted choice for organizations worldwide. Deploy it on-premise, in the cloud, or anything in between.

8.2

Composite
Score

Composite
Score

+87

Emotional
Footprint

Emotional
Footprint

82%

Likeliness to
Recommend

Likeliness
to Recommend

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