SlideShare a Scribd company logo
1 of 5
Download to read offline
Nuix has participated in the Gartner Magic Quadrant for eDiscovery Software for the past four years.
Over that time, the eDiscovery market has changed considerably. Unfortunately, Nuix does not believe
Gartner’s analysis of software providers has kept pace.
Gartner says its Magic Quadrant evaluations are based on rigorous criteria, deep industry knowledge
and thorough research. The famous two-axis diagram is designed to give the appearance of
mathematical precision. But from our experience in the eDiscovery Magic Quadrant process, it is much
more pseudo than science. Specifically, Gartner analysts:
•	 Undervalue the impact that exploding data volumes have had on the cost and burden
of eDiscovery projects
•	 Fail to appreciate that rapidly processing data at scale is the crucial difference between
successful and unsuccessful eDiscovery
•	 Refuse to acknowledge that vendors they classify as Leaders have underperformed in
the competitive marketplace.
We think these oversights have caused the Gartner Magic Quadrant for eDiscovery Software to break
down. Compounding the error is lack of transparency in Gartner’s research methodology—for example,
how do they evaluate vendors’ technical abilities and who are the eDiscovery practitioners that
contribute to Gartner’s findings?
As a result of Gartner’s distorted market appraisal, enterprise customers have spent millions of dollars
on software and services that didn’t serve their needs. This has given the entire industry a bad name.
All we ask for is a proper evaluation of eDiscovery software with rigorous methodology and a realistic
approach. But Gartner thinks it’s good enough to throw some secret eDiscovery ingredients into a
cauldron, say “hocus pocus” and kaboom! … a Magic Quadrant appears.
An ongoing dialogue
Nuix maintains ongoing dialogue with Gartner’s eDiscovery analysts. Earlier this year we spoke to
Gartner’s analysts about our concerns with their research methodology, stemming from the results of
previous years’ reports.
When Gartner showed us draft sections of this year’s report, which were almost identical to the
previous year’s, we escalated our concerns through Gartner’s Ombudsman. After numerous exchanges
and discussions, the Ombudsman concluded that Gartner and Nuix had different views of the market.
Specifically, the Ombudsman said:
“The Ombudsman maintains the basis of Nuix’s escalation has been a fundamental difference
of opinion with Gartner analysts and the way that they have chosen to evaluate vendors in the
eDiscovery Software market. While we can understand Nuix’s position and its passion for its view, our
investigation shows that the analysts followed proper methodologies and processes in this instance.
The analysts’ approach to this market was vetted and supported by an extended Research team.”
We have created this document and distributed it to our employees and customers to give our side
of the story. We believe it doesn’t matter how accurately Gartner’s analysts follow their methodology
because the process itself is broken.
We shared a draft of this document with Gartner and offered to include or link to their response.
They declined a right of reply.
Why Nuix doesn’t believe in Magic
WHY NUIX DOESN’T BELIEVE IN MAGIC page 2
Gartner told us ... We say ...
“eDiscovery in corporations doesn’t
involve large volumes of data.”
Our customers tell us that cases involving more than a handful of
custodians can swell to 100 gigabytes or larger.
“Many vendors offer end-to-end
eDiscovery.”
Most vendors’ products can’t process large volumes of data. Without
robust and scalable processing, timely and effective eDiscovery isn’t
possible, no matter what other functionality the software offers.
“We have strict criteria and scoring
methodologies to decide which vendors
make it into the Magic Quadrant and
are classified as Leaders.”
This year Gartner has listed as Leaders vendors that have:
• Left the market entirely
• Shifted the majority of their effort from software development
to services
• Laid off or lost almost all their staff and customers
• Stated publicly the reason for their substantial financial losses
was the success of service providers
• Infuriated customers—some to the point of litigation—by claiming
to provide functionality they simply couldn’t deliver.
“We evaluate vendors’ technical
capabilities.”
To our knowledge, Gartner’s analysts have no practical experience as
eDiscovery practitioners and do not perform any technical evaluation of
the products. They tell us they assess technical abilities by interviewing
eDiscovery practitioners. However, they refuse to provide any details
about who they speak to or what questions they ask.
“We won’t provide details of our
research methodology or demographic
information about the people we
interview.”
Without those details, it’s impossible to know how accurate or realistic
Gartner’s research is. Why does Gartner keep this information secret?
“We evaluate the eDiscovery market
using the EDRM model.”
Gartner has invented its own framework that splits early data assessment,
the “left-hand side” of the EDRM, from analysis, review and production,
the “right-hand side.” This model doesn’t reflect the EDRM or the way
most organizations conduct eDiscovery today.
“Nuix is a ‘left-hand side’ technology
because its key strength is processing.”
This doesn’t even make sense given Gartner says processing is primarily a
“right-hand side” activity. We don’t understand why Gartner ignores Nuix’s
abilities across the EDRM while giving other vendors credit for capabilities
that don’t work or that customers only use in very limited ways.
“We don’t pay attention to the litigation
service provider market, which is
shrinking as corporations bring their
eDiscovery functions in-house.”
Where is the evidence? Our insights into the market come from working
with almost all the major service providers and advisory firms worldwide.
They tell us business is booming. They are buying more software from
Nuix and many have grown their volume of business five or six times over
the past few years.
Gartner’s magical thinking
WHY NUIX DOESN’T BELIEVE IN MAGIC page 3
Our argument in detail
Gartner thinks eDiscovery involves small volumes of data
Gartner analysts believe that day-to-day eDiscovery does not involve large volumes of data. Our
experience with corporate and service provider customers shows that in the age of big data, there is
no longer such a thing as a “small case.”
The average enterprise email mailbox is multiple gigabytes for each custodian. eDiscovery typically
also involves data in file shares, SharePoint, archives, laptops, cloud email, cloud storage,
smartphones and “bring your own” devices. As a result, any case that involves more than five or ten
people can quickly swell to hundreds of gigabytes.
Nuix technology is proven to work against very large volumes of data faster than any other technology.
Gartner says corporate customers want an end-to-end eDiscovery solution from a single vendor. It
claims some vendors in the Leaders quadrant provide this end-to-end capability. But we know that in
many cases, these vendors fail at the critical point: Processing more than 100 or 200 or 500 gigabytes
at a time.
Gartner can only claim these vendors provide end-to-end functionality if it ignores whether or not their
technology works at scale.
Gartner doesn’t know its left hand from its right
Gartner analysts claim their market evaluation is based on industry-standard EDRM model. In reality,
they have invented their own model which splits the “left-hand side” of the EDRM from the “right-
hand side.”
They say the left-hand side is about early case assessment, or what EDRM co-founder George Socha
says should be more accurately called “early data assessment.” This typically comprises identification,
collection and preservation, and sometimes processing. They believe these tasks are performed either
internally or by litigation service providers. The right-hand side, Gartner analysts believe, is processing,
analyzing, reviewing and producing documents. This is a function primarily performed by in-house
lawyers or law firms, they say.
The analysts say a vendor provides “end-to-end” eDiscovery capability if it offers some functionality
from the left-hand and right-hand sides.
This division may have made sense four years ago when Gartner created the first Magic Quadrant but
it is meaningless today.
Many corporate and government customers seek to collect, process and analyze data internally
to evaluate their risk exposure and whether or not they have a chance of winning. Some aim to
conduct the entire discovery process in-house. Others engage service providers to do the heavy
lifting—collection and processing in some specialized circumstances, but more often analysis, review
(human and technology-assisted) and production.
Nuix has dozens of corporate customers who use our software internally and dozens of service
provider customers who use it on behalf of clients. Some use Nuix on its own, some combine our
software with other applications such as review platforms.
Gartner analysts maintain that Nuix is a “left-hand side” technology because its key strength is
processing, even though they also say processing is usually conducted on the “right-hand side.”
This doesn’t make sense to us and we can’t convince the analysts to change their opinion.
They really don’t know their left hand from their right.
WHY NUIX DOESN’T BELIEVE IN MAGIC page 4
What does being a “leader” mean?
Gartner’s eDiscovery Magic Quadrant reports include long blocks of text to explain how it decides which
vendors to include and which vendors are Leaders. Gartner has very strict rules about who is allowed to
quote from these explanations, so we can’t include them here. But anyone who takes the time to read
them will see they’re a jumble of laundry lists, contradictions and opinions dressed up as facts.
For example, Gartner analysts say Leader vendors must offer functionality from the “left-hand” and
“right-hand” sides of the EDRM. This is one of the main reasons they give for excluding Nuix from
the Leaders Quadrant. However, in their description of Nuix, they include a list of capabilities that go
from the left-hand side to the right-hand side. By contrast, some of the vendors listed do not offer a
credible functionality on both sides of the line, according to the Gartner analysts themselves, but still
qualify as Leaders.
Gartner analysts also say vendors in the Magic Quadrant should be focused on developing and selling
software rather than services. Yet it prominently includes vendors that earn much more revenue
from services than software. Some of them started out as software developers but are now almost
entirely service providers. The Magic Quadrant even includes some service providers that use Nuix as
their primary eDiscovery engine. On the other hand, it leaves out some of the world’s largest service
providers because they don’t make software. We don’t mind if Gartner includes or excludes service
providers, but it would be nice if they were consistent!
Gartner’s evaluation criteria also require that vendors continue to develop their eDiscovery software
and remain financially viable. What must be most embarrassing for Gartner is many of the vendors
in the Leaders Quadrant have gone significantly and publicly backwards. They have dropped market
share, laid off large numbers of staff and suffered plummeting revenues and significant financial
losses. Some have abandoned eDiscovery almost entirely.
Gartner doesn’t allow us to quote the Magic Quadrant report directly, but its descriptions for “Leaders”
in this year’s report say things like:
•	 Customers say this product is hard to install and upgrade
•	 Customers must be careful not to spend a lot on services with this product
•	 Customers are not satisfied with this vendor’s ECA, visualization and processing capabilities
•	 Customers say this vendors’ products are expensive, complex and hard to use
•	 Customers identify problems with this product’s performance, scalability and
production functionality
•	 The departure of the company’s CEO may cause disruption.
We’re not saying this to rejoice in our competitors’ misfortunes. But we wonder how bad things have
to get before Gartner stops listing vendors as “Leaders.”
Gartner can’t (or won’t) evaluate technical capabilities
A fundamental question to ask when evaluating technology products is “Do they work?” Specifically,
do they deliver the functionality that most customers need today?
Gartner’s Magic Quadrant includes many eDiscovery software companies whose software cannot
process the volumes or types of data that are now routinely involved in litigation. Without this
capability, timely and effective eDiscovery is not possible.
The Magic Quadrant report never says explicitly that Gartner evaluates vendors’ capabilities. To our
knowledge, Gartner analysts do not install, run through, benchmark or otherwise technically evaluate
any software packages. The analysts have told us verbally that they ask the interviewees about
technical performance during their research process. We’ve asked them directly who they speak to,
what questions they ask and what answers they receive. They won’t tell us.
WHY NUIX DOESN’T BELIEVE IN MAGIC page 5
With Gartner, everything’s a secret
Any credible research report provides a thorough explanation of its methodology and demographic
information about the people interviewed. What weighting does it give to different capabilities?
What are its evaluation criteria and where does it draw the line? How does it validate vendors’
claims? What size organizations are the interviewees from? What roles do they perform? What is their
involvement in day-to-day operations? Which countries are they from? Do they change from year to year?
Gartner doesn’t share this information with its customers or the industry. Without this information,
it is impossible for customers to evaluate if the research was sound and applicable to their situation.
For instance, if the interviewees were mainly lawyers from top law firms, the results would have little
bearing on corporate IT departments.
Gartner ignores litigation service providers and believes they are doomed
Gartner analysts claim the service provider market is becoming commoditized and will shrink as more
corporations bring their eDiscovery functions in-house. They have maintained this position since the
Magic Quadrant began but there is little evidence to support it.
At Nuix, we deal with enterprises that insource their eDiscovery work, some that outsource everything
to service providers and many that insource and outsource depending on the circumstances.
As far as we can tell, Gartner does not analyze the volume of data or the number of eDiscovery cases
undertaken by service providers. They tell us “We don’t cover that market.” But service providers and
advisory firms conduct the majority of corporate and government eDiscovery work in the world today
We concede there has been some consolidation of service providers, such as DTI’s acquisition of
Applied Discovery in January, but the rate of market consolidation is not extraordinary. We also
agree that some enterprise customers are bringing their eDiscovery functions in-house—indeed we
have helped some very large organizations do this. But there is also still movement in the opposite
direction: Organizations abandoning in-house eDiscovery and giving their business to service
providers. For example, in its most recent 10-K filing, Guidance Software disclosed that the shift
toward service providers had limited its success in the eDiscovery market.
The feedback we have from our many top- and mid-tier service provider customers is that business is
booming. Their purchases of software from Nuix reflects this.
For example, one mid-western US firm has grown into a leading international provider of eDiscovery
services since starting out in 2007. It has been included in the Inc. 500 list of the fastest growing
private companies in the United States thanks to three-year revenue growth of 139%. This provider
uses Nuix extensively for eDiscovery processing, search, analysis and production. In the past three
years, this company has increased its Nuix licensing capacity more than five-fold, reflecting the
massive growth in its business and the volume of data it handles.
Our advisory firm clients tell us they are taking on more staff and growing revenue in eDiscovery and
related fields such as digital forensics and information governance. We are selling them more software,
not less. One firm has increased its eDiscovery staffing around the world five-fold in just three years
and we believe this is representative of all the Big Four.
We invite our eDiscovery service provider customers to share their growth stories with Gartner
analysts. We also encourage the Gartner analysts to explain what evidence they have to support their
conclusion that the litigation support industry is shrinking.
	
Apac 	 North America	 EMEA
Australia: +61 2 9280 0699 	 USA: +1 877 470 6849 	 UK: +44 207 877 0300
» Email: sales@nuix.com 	 » Web: nuix.com	 » Twitter: @nuix
Copyright © 2014 Nuix. All rights reserved.

More Related Content

What's hot

Keyrus US Information
Keyrus US InformationKeyrus US Information
Keyrus US InformationJulian Tong
 
Candor - Solution for Big Data
Candor - Solution for Big DataCandor - Solution for Big Data
Candor - Solution for Big DataAveshka
 
Bardess Moderated - Analytics and Business Intelligence - Society of Informat...
Bardess Moderated - Analytics and Business Intelligence - Society of Informat...Bardess Moderated - Analytics and Business Intelligence - Society of Informat...
Bardess Moderated - Analytics and Business Intelligence - Society of Informat...bardessweb
 
Top 20 artificial intelligence companies to watch out in 2022
Top 20 artificial intelligence companies to watch out in 2022Top 20 artificial intelligence companies to watch out in 2022
Top 20 artificial intelligence companies to watch out in 2022Kavika Roy
 
Gartner Unique Advantage Overview
Gartner Unique Advantage OverviewGartner Unique Advantage Overview
Gartner Unique Advantage OverviewJordyn McGrory
 
Monetize Data with Embedded Analytics
Monetize Data with Embedded AnalyticsMonetize Data with Embedded Analytics
Monetize Data with Embedded AnalyticsGoodData
 
RPM2 Selected to the CIO Review "Top 100" Most Promising Big Data Companies
RPM2 Selected to the CIO Review "Top 100" Most Promising Big Data CompaniesRPM2 Selected to the CIO Review "Top 100" Most Promising Big Data Companies
RPM2 Selected to the CIO Review "Top 100" Most Promising Big Data CompaniesScott Terry
 
Getting down to business on Big Data analytics
Getting down to business on Big Data analyticsGetting down to business on Big Data analytics
Getting down to business on Big Data analyticsThe Marketing Distillery
 
Big agendas for big data analytics projects
Big agendas for big data analytics projectsBig agendas for big data analytics projects
Big agendas for big data analytics projectsThe Marketing Distillery
 
Extending Enterprise Search To Catalyse Innovation In A Global Organisation
Extending Enterprise Search To Catalyse Innovation In A Global OrganisationExtending Enterprise Search To Catalyse Innovation In A Global Organisation
Extending Enterprise Search To Catalyse Innovation In A Global OrganisationNick Brown
 
MedTech Quality in the Age of Big Data - Are you ready?
MedTech Quality in the Age of Big Data - Are you ready?MedTech Quality in the Age of Big Data - Are you ready?
MedTech Quality in the Age of Big Data - Are you ready?Naveen Agarwal
 
How to Use Strategic Mapping to Interpret and Optimize Market Intelligence
How to Use Strategic Mapping to Interpret and Optimize Market IntelligenceHow to Use Strategic Mapping to Interpret and Optimize Market Intelligence
How to Use Strategic Mapping to Interpret and Optimize Market IntelligenceArik Johnson
 
Connected Experiences Are Personalized Experiences
Connected Experiences Are Personalized ExperiencesConnected Experiences Are Personalized Experiences
Connected Experiences Are Personalized ExperiencesLucidworks
 
Forrester big data_predictive_analytics
Forrester big data_predictive_analyticsForrester big data_predictive_analytics
Forrester big data_predictive_analyticsShyam Sarkar
 
Whitepaper - Simplifying Analytics Adoption in Enterprise
Whitepaper - Simplifying Analytics Adoption in EnterpriseWhitepaper - Simplifying Analytics Adoption in Enterprise
Whitepaper - Simplifying Analytics Adoption in EnterpriseBRIDGEi2i Analytics Solutions
 
Understanding the Data & Analytics Specific Purchase Process
Understanding the Data & Analytics Specific Purchase ProcessUnderstanding the Data & Analytics Specific Purchase Process
Understanding the Data & Analytics Specific Purchase ProcessIDG
 
Fractal analytics measuring, evaluating and predicting the social consumer
Fractal analytics  measuring, evaluating and predicting the social consumerFractal analytics  measuring, evaluating and predicting the social consumer
Fractal analytics measuring, evaluating and predicting the social consumerFractal Analytics
 
Gartner at a glance 2015
Gartner at a glance 2015Gartner at a glance 2015
Gartner at a glance 2015Glen Johnstone
 
Making Predictive Analytics Practical: How Marketing Can Drive Engagement
Making Predictive Analytics Practical: How Marketing Can Drive EngagementMaking Predictive Analytics Practical: How Marketing Can Drive Engagement
Making Predictive Analytics Practical: How Marketing Can Drive EngagementProgress® Sitefinity™
 
The Analytics Continuum
The Analytics ContinuumThe Analytics Continuum
The Analytics ContinuumRob Marano
 

What's hot (20)

Keyrus US Information
Keyrus US InformationKeyrus US Information
Keyrus US Information
 
Candor - Solution for Big Data
Candor - Solution for Big DataCandor - Solution for Big Data
Candor - Solution for Big Data
 
Bardess Moderated - Analytics and Business Intelligence - Society of Informat...
Bardess Moderated - Analytics and Business Intelligence - Society of Informat...Bardess Moderated - Analytics and Business Intelligence - Society of Informat...
Bardess Moderated - Analytics and Business Intelligence - Society of Informat...
 
Top 20 artificial intelligence companies to watch out in 2022
Top 20 artificial intelligence companies to watch out in 2022Top 20 artificial intelligence companies to watch out in 2022
Top 20 artificial intelligence companies to watch out in 2022
 
Gartner Unique Advantage Overview
Gartner Unique Advantage OverviewGartner Unique Advantage Overview
Gartner Unique Advantage Overview
 
Monetize Data with Embedded Analytics
Monetize Data with Embedded AnalyticsMonetize Data with Embedded Analytics
Monetize Data with Embedded Analytics
 
RPM2 Selected to the CIO Review "Top 100" Most Promising Big Data Companies
RPM2 Selected to the CIO Review "Top 100" Most Promising Big Data CompaniesRPM2 Selected to the CIO Review "Top 100" Most Promising Big Data Companies
RPM2 Selected to the CIO Review "Top 100" Most Promising Big Data Companies
 
Getting down to business on Big Data analytics
Getting down to business on Big Data analyticsGetting down to business on Big Data analytics
Getting down to business on Big Data analytics
 
Big agendas for big data analytics projects
Big agendas for big data analytics projectsBig agendas for big data analytics projects
Big agendas for big data analytics projects
 
Extending Enterprise Search To Catalyse Innovation In A Global Organisation
Extending Enterprise Search To Catalyse Innovation In A Global OrganisationExtending Enterprise Search To Catalyse Innovation In A Global Organisation
Extending Enterprise Search To Catalyse Innovation In A Global Organisation
 
MedTech Quality in the Age of Big Data - Are you ready?
MedTech Quality in the Age of Big Data - Are you ready?MedTech Quality in the Age of Big Data - Are you ready?
MedTech Quality in the Age of Big Data - Are you ready?
 
How to Use Strategic Mapping to Interpret and Optimize Market Intelligence
How to Use Strategic Mapping to Interpret and Optimize Market IntelligenceHow to Use Strategic Mapping to Interpret and Optimize Market Intelligence
How to Use Strategic Mapping to Interpret and Optimize Market Intelligence
 
Connected Experiences Are Personalized Experiences
Connected Experiences Are Personalized ExperiencesConnected Experiences Are Personalized Experiences
Connected Experiences Are Personalized Experiences
 
Forrester big data_predictive_analytics
Forrester big data_predictive_analyticsForrester big data_predictive_analytics
Forrester big data_predictive_analytics
 
Whitepaper - Simplifying Analytics Adoption in Enterprise
Whitepaper - Simplifying Analytics Adoption in EnterpriseWhitepaper - Simplifying Analytics Adoption in Enterprise
Whitepaper - Simplifying Analytics Adoption in Enterprise
 
Understanding the Data & Analytics Specific Purchase Process
Understanding the Data & Analytics Specific Purchase ProcessUnderstanding the Data & Analytics Specific Purchase Process
Understanding the Data & Analytics Specific Purchase Process
 
Fractal analytics measuring, evaluating and predicting the social consumer
Fractal analytics  measuring, evaluating and predicting the social consumerFractal analytics  measuring, evaluating and predicting the social consumer
Fractal analytics measuring, evaluating and predicting the social consumer
 
Gartner at a glance 2015
Gartner at a glance 2015Gartner at a glance 2015
Gartner at a glance 2015
 
Making Predictive Analytics Practical: How Marketing Can Drive Engagement
Making Predictive Analytics Practical: How Marketing Can Drive EngagementMaking Predictive Analytics Practical: How Marketing Can Drive Engagement
Making Predictive Analytics Practical: How Marketing Can Drive Engagement
 
The Analytics Continuum
The Analytics ContinuumThe Analytics Continuum
The Analytics Continuum
 

Similar to Nuix doesn't believe in magic

259881368-Gartner-Research-ERP
259881368-Gartner-Research-ERP259881368-Gartner-Research-ERP
259881368-Gartner-Research-ERPGaurav Ahluwalia
 
Real Estate Big Data- Benefits & Challenges
Real Estate Big Data- Benefits & ChallengesReal Estate Big Data- Benefits & Challenges
Real Estate Big Data- Benefits & ChallengesManish Parsuramka
 
Leaders of Gartner Magic Quadrant 2014 for Secure Web Gateways
Leaders of Gartner Magic Quadrant 2014 for Secure Web GatewaysLeaders of Gartner Magic Quadrant 2014 for Secure Web Gateways
Leaders of Gartner Magic Quadrant 2014 for Secure Web GatewaysTarek Nader
 
Oea big-data-guide-1522052
Oea big-data-guide-1522052Oea big-data-guide-1522052
Oea big-data-guide-1522052kavi172
 
Oea big-data-guide-1522052
Oea big-data-guide-1522052Oea big-data-guide-1522052
Oea big-data-guide-1522052Gilbert Rozario
 
After Cutting its Big Data Teeth on Wall Street, Vichara Technologies Grows t...
After Cutting its Big Data Teeth on Wall Street, Vichara Technologies Grows t...After Cutting its Big Data Teeth on Wall Street, Vichara Technologies Grows t...
After Cutting its Big Data Teeth on Wall Street, Vichara Technologies Grows t...Dana Gardner
 
Webinar: Guest Forrester Analyst Reveals Why Cognitive Search Matters for Eco...
Webinar: Guest Forrester Analyst Reveals Why Cognitive Search Matters for Eco...Webinar: Guest Forrester Analyst Reveals Why Cognitive Search Matters for Eco...
Webinar: Guest Forrester Analyst Reveals Why Cognitive Search Matters for Eco...Lucidworks
 
Closing the Digital Transformation Gap
Closing the Digital Transformation GapClosing the Digital Transformation Gap
Closing the Digital Transformation GapDana Gardner
 
HP Vertica Provides adMarketplace with Big Data Warehousing Solution
HP Vertica Provides adMarketplace with Big Data Warehousing SolutionHP Vertica Provides adMarketplace with Big Data Warehousing Solution
HP Vertica Provides adMarketplace with Big Data Warehousing SolutionDana Gardner
 
ChainLink Analyst on How Cloud-Enabled Supply Chain Networks Drive Companies ...
ChainLink Analyst on How Cloud-Enabled Supply Chain Networks Drive Companies ...ChainLink Analyst on How Cloud-Enabled Supply Chain Networks Drive Companies ...
ChainLink Analyst on How Cloud-Enabled Supply Chain Networks Drive Companies ...Dana Gardner
 
Data mining and their applications
Data mining and their applicationsData mining and their applications
Data mining and their applicationsShashwat Shankar
 
How to use Gartner Database
How to use Gartner DatabaseHow to use Gartner Database
How to use Gartner Databaseweixiasmu
 
Forrester e procurement 2017 wave
Forrester e procurement 2017 waveForrester e procurement 2017 wave
Forrester e procurement 2017 waveAmy Patton
 
Spirent Leverages Big Data to Keep User Experience Quality a Winning Factor f...
Spirent Leverages Big Data to Keep User Experience Quality a Winning Factor f...Spirent Leverages Big Data to Keep User Experience Quality a Winning Factor f...
Spirent Leverages Big Data to Keep User Experience Quality a Winning Factor f...Dana Gardner
 
ISM Magazine - Making Technology Work for You
ISM Magazine - Making Technology Work for YouISM Magazine - Making Technology Work for You
ISM Magazine - Making Technology Work for YouMichelle Lax, CPA
 
Loyalty Management Innovator AIMIA's Transformation Journey to Modernized and...
Loyalty Management Innovator AIMIA's Transformation Journey to Modernized and...Loyalty Management Innovator AIMIA's Transformation Journey to Modernized and...
Loyalty Management Innovator AIMIA's Transformation Journey to Modernized and...Dana Gardner
 
Gartner Magic Quadrant for Operational Database Management Systems
Gartner Magic Quadrant for Operational Database Management SystemsGartner Magic Quadrant for Operational Database Management Systems
Gartner Magic Quadrant for Operational Database Management SystemsRobert Bira
 

Similar to Nuix doesn't believe in magic (20)

259881368-Gartner-Research-ERP
259881368-Gartner-Research-ERP259881368-Gartner-Research-ERP
259881368-Gartner-Research-ERP
 
Real Estate Big Data- Benefits & Challenges
Real Estate Big Data- Benefits & ChallengesReal Estate Big Data- Benefits & Challenges
Real Estate Big Data- Benefits & Challenges
 
Leaders of Gartner Magic Quadrant 2014 for Secure Web Gateways
Leaders of Gartner Magic Quadrant 2014 for Secure Web GatewaysLeaders of Gartner Magic Quadrant 2014 for Secure Web Gateways
Leaders of Gartner Magic Quadrant 2014 for Secure Web Gateways
 
Oea big-data-guide-1522052
Oea big-data-guide-1522052Oea big-data-guide-1522052
Oea big-data-guide-1522052
 
Oea big-data-guide-1522052
Oea big-data-guide-1522052Oea big-data-guide-1522052
Oea big-data-guide-1522052
 
After Cutting its Big Data Teeth on Wall Street, Vichara Technologies Grows t...
After Cutting its Big Data Teeth on Wall Street, Vichara Technologies Grows t...After Cutting its Big Data Teeth on Wall Street, Vichara Technologies Grows t...
After Cutting its Big Data Teeth on Wall Street, Vichara Technologies Grows t...
 
1415 gold sanford
1415 gold sanford1415 gold sanford
1415 gold sanford
 
Webinar: Guest Forrester Analyst Reveals Why Cognitive Search Matters for Eco...
Webinar: Guest Forrester Analyst Reveals Why Cognitive Search Matters for Eco...Webinar: Guest Forrester Analyst Reveals Why Cognitive Search Matters for Eco...
Webinar: Guest Forrester Analyst Reveals Why Cognitive Search Matters for Eco...
 
Closing the Digital Transformation Gap
Closing the Digital Transformation GapClosing the Digital Transformation Gap
Closing the Digital Transformation Gap
 
HP Vertica Provides adMarketplace with Big Data Warehousing Solution
HP Vertica Provides adMarketplace with Big Data Warehousing SolutionHP Vertica Provides adMarketplace with Big Data Warehousing Solution
HP Vertica Provides adMarketplace with Big Data Warehousing Solution
 
ChainLink Analyst on How Cloud-Enabled Supply Chain Networks Drive Companies ...
ChainLink Analyst on How Cloud-Enabled Supply Chain Networks Drive Companies ...ChainLink Analyst on How Cloud-Enabled Supply Chain Networks Drive Companies ...
ChainLink Analyst on How Cloud-Enabled Supply Chain Networks Drive Companies ...
 
Data mining and their applications
Data mining and their applicationsData mining and their applications
Data mining and their applications
 
How to use Gartner Database
How to use Gartner DatabaseHow to use Gartner Database
How to use Gartner Database
 
Forrester e procurement 2017 wave
Forrester e procurement 2017 waveForrester e procurement 2017 wave
Forrester e procurement 2017 wave
 
Spirent Leverages Big Data to Keep User Experience Quality a Winning Factor f...
Spirent Leverages Big Data to Keep User Experience Quality a Winning Factor f...Spirent Leverages Big Data to Keep User Experience Quality a Winning Factor f...
Spirent Leverages Big Data to Keep User Experience Quality a Winning Factor f...
 
ISM Magazine - Making Technology Work for You
ISM Magazine - Making Technology Work for YouISM Magazine - Making Technology Work for You
ISM Magazine - Making Technology Work for You
 
Loyalty Management Innovator AIMIA's Transformation Journey to Modernized and...
Loyalty Management Innovator AIMIA's Transformation Journey to Modernized and...Loyalty Management Innovator AIMIA's Transformation Journey to Modernized and...
Loyalty Management Innovator AIMIA's Transformation Journey to Modernized and...
 
Gartner Magic Quadrant for Operational Database Management Systems
Gartner Magic Quadrant for Operational Database Management SystemsGartner Magic Quadrant for Operational Database Management Systems
Gartner Magic Quadrant for Operational Database Management Systems
 
Dia01 08 keynote_alvaro_mello_gartner
Dia01 08 keynote_alvaro_mello_gartnerDia01 08 keynote_alvaro_mello_gartner
Dia01 08 keynote_alvaro_mello_gartner
 
Unlocking big data
Unlocking big dataUnlocking big data
Unlocking big data
 

Recently uploaded

Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationSafe Software
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Enterprise Knowledge
 
Artificial intelligence in the post-deep learning era
Artificial intelligence in the post-deep learning eraArtificial intelligence in the post-deep learning era
Artificial intelligence in the post-deep learning eraDeakin University
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationSlibray Presentation
 
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024BookNet Canada
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 
Benefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other FrameworksBenefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other FrameworksSoftradix Technologies
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesSinan KOZAK
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationRidwan Fadjar
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
Bluetooth Controlled Car with Arduino.pdf
Bluetooth Controlled Car with Arduino.pdfBluetooth Controlled Car with Arduino.pdf
Bluetooth Controlled Car with Arduino.pdfngoud9212
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Commit University
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024Lorenzo Miniero
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsRizwan Syed
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...Fwdays
 
Understanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitectureUnderstanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitecturePixlogix Infotech
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...shyamraj55
 

Recently uploaded (20)

Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024
 
Artificial intelligence in the post-deep learning era
Artificial intelligence in the post-deep learning eraArtificial intelligence in the post-deep learning era
Artificial intelligence in the post-deep learning era
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck Presentation
 
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 
Benefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other FrameworksBenefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other Frameworks
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen Frames
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 Presentation
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
Bluetooth Controlled Car with Arduino.pdf
Bluetooth Controlled Car with Arduino.pdfBluetooth Controlled Car with Arduino.pdf
Bluetooth Controlled Car with Arduino.pdf
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL Certs
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
 
Understanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitectureUnderstanding the Laravel MVC Architecture
Understanding the Laravel MVC Architecture
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 
DMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special EditionDMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special Edition
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
 

Nuix doesn't believe in magic

  • 1. Nuix has participated in the Gartner Magic Quadrant for eDiscovery Software for the past four years. Over that time, the eDiscovery market has changed considerably. Unfortunately, Nuix does not believe Gartner’s analysis of software providers has kept pace. Gartner says its Magic Quadrant evaluations are based on rigorous criteria, deep industry knowledge and thorough research. The famous two-axis diagram is designed to give the appearance of mathematical precision. But from our experience in the eDiscovery Magic Quadrant process, it is much more pseudo than science. Specifically, Gartner analysts: • Undervalue the impact that exploding data volumes have had on the cost and burden of eDiscovery projects • Fail to appreciate that rapidly processing data at scale is the crucial difference between successful and unsuccessful eDiscovery • Refuse to acknowledge that vendors they classify as Leaders have underperformed in the competitive marketplace. We think these oversights have caused the Gartner Magic Quadrant for eDiscovery Software to break down. Compounding the error is lack of transparency in Gartner’s research methodology—for example, how do they evaluate vendors’ technical abilities and who are the eDiscovery practitioners that contribute to Gartner’s findings? As a result of Gartner’s distorted market appraisal, enterprise customers have spent millions of dollars on software and services that didn’t serve their needs. This has given the entire industry a bad name. All we ask for is a proper evaluation of eDiscovery software with rigorous methodology and a realistic approach. But Gartner thinks it’s good enough to throw some secret eDiscovery ingredients into a cauldron, say “hocus pocus” and kaboom! … a Magic Quadrant appears. An ongoing dialogue Nuix maintains ongoing dialogue with Gartner’s eDiscovery analysts. Earlier this year we spoke to Gartner’s analysts about our concerns with their research methodology, stemming from the results of previous years’ reports. When Gartner showed us draft sections of this year’s report, which were almost identical to the previous year’s, we escalated our concerns through Gartner’s Ombudsman. After numerous exchanges and discussions, the Ombudsman concluded that Gartner and Nuix had different views of the market. Specifically, the Ombudsman said: “The Ombudsman maintains the basis of Nuix’s escalation has been a fundamental difference of opinion with Gartner analysts and the way that they have chosen to evaluate vendors in the eDiscovery Software market. While we can understand Nuix’s position and its passion for its view, our investigation shows that the analysts followed proper methodologies and processes in this instance. The analysts’ approach to this market was vetted and supported by an extended Research team.” We have created this document and distributed it to our employees and customers to give our side of the story. We believe it doesn’t matter how accurately Gartner’s analysts follow their methodology because the process itself is broken. We shared a draft of this document with Gartner and offered to include or link to their response. They declined a right of reply. Why Nuix doesn’t believe in Magic
  • 2. WHY NUIX DOESN’T BELIEVE IN MAGIC page 2 Gartner told us ... We say ... “eDiscovery in corporations doesn’t involve large volumes of data.” Our customers tell us that cases involving more than a handful of custodians can swell to 100 gigabytes or larger. “Many vendors offer end-to-end eDiscovery.” Most vendors’ products can’t process large volumes of data. Without robust and scalable processing, timely and effective eDiscovery isn’t possible, no matter what other functionality the software offers. “We have strict criteria and scoring methodologies to decide which vendors make it into the Magic Quadrant and are classified as Leaders.” This year Gartner has listed as Leaders vendors that have: • Left the market entirely • Shifted the majority of their effort from software development to services • Laid off or lost almost all their staff and customers • Stated publicly the reason for their substantial financial losses was the success of service providers • Infuriated customers—some to the point of litigation—by claiming to provide functionality they simply couldn’t deliver. “We evaluate vendors’ technical capabilities.” To our knowledge, Gartner’s analysts have no practical experience as eDiscovery practitioners and do not perform any technical evaluation of the products. They tell us they assess technical abilities by interviewing eDiscovery practitioners. However, they refuse to provide any details about who they speak to or what questions they ask. “We won’t provide details of our research methodology or demographic information about the people we interview.” Without those details, it’s impossible to know how accurate or realistic Gartner’s research is. Why does Gartner keep this information secret? “We evaluate the eDiscovery market using the EDRM model.” Gartner has invented its own framework that splits early data assessment, the “left-hand side” of the EDRM, from analysis, review and production, the “right-hand side.” This model doesn’t reflect the EDRM or the way most organizations conduct eDiscovery today. “Nuix is a ‘left-hand side’ technology because its key strength is processing.” This doesn’t even make sense given Gartner says processing is primarily a “right-hand side” activity. We don’t understand why Gartner ignores Nuix’s abilities across the EDRM while giving other vendors credit for capabilities that don’t work or that customers only use in very limited ways. “We don’t pay attention to the litigation service provider market, which is shrinking as corporations bring their eDiscovery functions in-house.” Where is the evidence? Our insights into the market come from working with almost all the major service providers and advisory firms worldwide. They tell us business is booming. They are buying more software from Nuix and many have grown their volume of business five or six times over the past few years. Gartner’s magical thinking
  • 3. WHY NUIX DOESN’T BELIEVE IN MAGIC page 3 Our argument in detail Gartner thinks eDiscovery involves small volumes of data Gartner analysts believe that day-to-day eDiscovery does not involve large volumes of data. Our experience with corporate and service provider customers shows that in the age of big data, there is no longer such a thing as a “small case.” The average enterprise email mailbox is multiple gigabytes for each custodian. eDiscovery typically also involves data in file shares, SharePoint, archives, laptops, cloud email, cloud storage, smartphones and “bring your own” devices. As a result, any case that involves more than five or ten people can quickly swell to hundreds of gigabytes. Nuix technology is proven to work against very large volumes of data faster than any other technology. Gartner says corporate customers want an end-to-end eDiscovery solution from a single vendor. It claims some vendors in the Leaders quadrant provide this end-to-end capability. But we know that in many cases, these vendors fail at the critical point: Processing more than 100 or 200 or 500 gigabytes at a time. Gartner can only claim these vendors provide end-to-end functionality if it ignores whether or not their technology works at scale. Gartner doesn’t know its left hand from its right Gartner analysts claim their market evaluation is based on industry-standard EDRM model. In reality, they have invented their own model which splits the “left-hand side” of the EDRM from the “right- hand side.” They say the left-hand side is about early case assessment, or what EDRM co-founder George Socha says should be more accurately called “early data assessment.” This typically comprises identification, collection and preservation, and sometimes processing. They believe these tasks are performed either internally or by litigation service providers. The right-hand side, Gartner analysts believe, is processing, analyzing, reviewing and producing documents. This is a function primarily performed by in-house lawyers or law firms, they say. The analysts say a vendor provides “end-to-end” eDiscovery capability if it offers some functionality from the left-hand and right-hand sides. This division may have made sense four years ago when Gartner created the first Magic Quadrant but it is meaningless today. Many corporate and government customers seek to collect, process and analyze data internally to evaluate their risk exposure and whether or not they have a chance of winning. Some aim to conduct the entire discovery process in-house. Others engage service providers to do the heavy lifting—collection and processing in some specialized circumstances, but more often analysis, review (human and technology-assisted) and production. Nuix has dozens of corporate customers who use our software internally and dozens of service provider customers who use it on behalf of clients. Some use Nuix on its own, some combine our software with other applications such as review platforms. Gartner analysts maintain that Nuix is a “left-hand side” technology because its key strength is processing, even though they also say processing is usually conducted on the “right-hand side.” This doesn’t make sense to us and we can’t convince the analysts to change their opinion. They really don’t know their left hand from their right.
  • 4. WHY NUIX DOESN’T BELIEVE IN MAGIC page 4 What does being a “leader” mean? Gartner’s eDiscovery Magic Quadrant reports include long blocks of text to explain how it decides which vendors to include and which vendors are Leaders. Gartner has very strict rules about who is allowed to quote from these explanations, so we can’t include them here. But anyone who takes the time to read them will see they’re a jumble of laundry lists, contradictions and opinions dressed up as facts. For example, Gartner analysts say Leader vendors must offer functionality from the “left-hand” and “right-hand” sides of the EDRM. This is one of the main reasons they give for excluding Nuix from the Leaders Quadrant. However, in their description of Nuix, they include a list of capabilities that go from the left-hand side to the right-hand side. By contrast, some of the vendors listed do not offer a credible functionality on both sides of the line, according to the Gartner analysts themselves, but still qualify as Leaders. Gartner analysts also say vendors in the Magic Quadrant should be focused on developing and selling software rather than services. Yet it prominently includes vendors that earn much more revenue from services than software. Some of them started out as software developers but are now almost entirely service providers. The Magic Quadrant even includes some service providers that use Nuix as their primary eDiscovery engine. On the other hand, it leaves out some of the world’s largest service providers because they don’t make software. We don’t mind if Gartner includes or excludes service providers, but it would be nice if they were consistent! Gartner’s evaluation criteria also require that vendors continue to develop their eDiscovery software and remain financially viable. What must be most embarrassing for Gartner is many of the vendors in the Leaders Quadrant have gone significantly and publicly backwards. They have dropped market share, laid off large numbers of staff and suffered plummeting revenues and significant financial losses. Some have abandoned eDiscovery almost entirely. Gartner doesn’t allow us to quote the Magic Quadrant report directly, but its descriptions for “Leaders” in this year’s report say things like: • Customers say this product is hard to install and upgrade • Customers must be careful not to spend a lot on services with this product • Customers are not satisfied with this vendor’s ECA, visualization and processing capabilities • Customers say this vendors’ products are expensive, complex and hard to use • Customers identify problems with this product’s performance, scalability and production functionality • The departure of the company’s CEO may cause disruption. We’re not saying this to rejoice in our competitors’ misfortunes. But we wonder how bad things have to get before Gartner stops listing vendors as “Leaders.” Gartner can’t (or won’t) evaluate technical capabilities A fundamental question to ask when evaluating technology products is “Do they work?” Specifically, do they deliver the functionality that most customers need today? Gartner’s Magic Quadrant includes many eDiscovery software companies whose software cannot process the volumes or types of data that are now routinely involved in litigation. Without this capability, timely and effective eDiscovery is not possible. The Magic Quadrant report never says explicitly that Gartner evaluates vendors’ capabilities. To our knowledge, Gartner analysts do not install, run through, benchmark or otherwise technically evaluate any software packages. The analysts have told us verbally that they ask the interviewees about technical performance during their research process. We’ve asked them directly who they speak to, what questions they ask and what answers they receive. They won’t tell us.
  • 5. WHY NUIX DOESN’T BELIEVE IN MAGIC page 5 With Gartner, everything’s a secret Any credible research report provides a thorough explanation of its methodology and demographic information about the people interviewed. What weighting does it give to different capabilities? What are its evaluation criteria and where does it draw the line? How does it validate vendors’ claims? What size organizations are the interviewees from? What roles do they perform? What is their involvement in day-to-day operations? Which countries are they from? Do they change from year to year? Gartner doesn’t share this information with its customers or the industry. Without this information, it is impossible for customers to evaluate if the research was sound and applicable to their situation. For instance, if the interviewees were mainly lawyers from top law firms, the results would have little bearing on corporate IT departments. Gartner ignores litigation service providers and believes they are doomed Gartner analysts claim the service provider market is becoming commoditized and will shrink as more corporations bring their eDiscovery functions in-house. They have maintained this position since the Magic Quadrant began but there is little evidence to support it. At Nuix, we deal with enterprises that insource their eDiscovery work, some that outsource everything to service providers and many that insource and outsource depending on the circumstances. As far as we can tell, Gartner does not analyze the volume of data or the number of eDiscovery cases undertaken by service providers. They tell us “We don’t cover that market.” But service providers and advisory firms conduct the majority of corporate and government eDiscovery work in the world today We concede there has been some consolidation of service providers, such as DTI’s acquisition of Applied Discovery in January, but the rate of market consolidation is not extraordinary. We also agree that some enterprise customers are bringing their eDiscovery functions in-house—indeed we have helped some very large organizations do this. But there is also still movement in the opposite direction: Organizations abandoning in-house eDiscovery and giving their business to service providers. For example, in its most recent 10-K filing, Guidance Software disclosed that the shift toward service providers had limited its success in the eDiscovery market. The feedback we have from our many top- and mid-tier service provider customers is that business is booming. Their purchases of software from Nuix reflects this. For example, one mid-western US firm has grown into a leading international provider of eDiscovery services since starting out in 2007. It has been included in the Inc. 500 list of the fastest growing private companies in the United States thanks to three-year revenue growth of 139%. This provider uses Nuix extensively for eDiscovery processing, search, analysis and production. In the past three years, this company has increased its Nuix licensing capacity more than five-fold, reflecting the massive growth in its business and the volume of data it handles. Our advisory firm clients tell us they are taking on more staff and growing revenue in eDiscovery and related fields such as digital forensics and information governance. We are selling them more software, not less. One firm has increased its eDiscovery staffing around the world five-fold in just three years and we believe this is representative of all the Big Four. We invite our eDiscovery service provider customers to share their growth stories with Gartner analysts. We also encourage the Gartner analysts to explain what evidence they have to support their conclusion that the litigation support industry is shrinking. Apac North America EMEA Australia: +61 2 9280 0699 USA: +1 877 470 6849 UK: +44 207 877 0300 » Email: sales@nuix.com » Web: nuix.com » Twitter: @nuix Copyright © 2014 Nuix. All rights reserved.