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Submitted URL: https://go.epiqglobal.com/e/76132/lete-data-save-the-environment/6srwk9/2136999779?h=4xBYZAwtT2CTuI6og-o0PNiLmhJpz9UB7WveS...
Effective URL: https://www.epiqglobal.com/en-us/resource-center/articles/delete-data-save-the-environment
Submission: On April 29 via api from CH — Scanned from DE
Effective URL: https://www.epiqglobal.com/en-us/resource-center/articles/delete-data-save-the-environment
Submission: On April 29 via api from CH — Scanned from DE
Form analysis 1 forms found in the DOM
POST /en-us/resource-center/articles/delete-data-save-the-environment
<form method="post" action="/en-us/resource-center/articles/delete-data-save-the-environment" id="form">
<div class="aspNetHidden">
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<input type="hidden" name="__EVENTTARGET" id="__EVENTTARGET" value="">
<input type="hidden" name="__EVENTARGUMENT" id="__EVENTARGUMENT" value="">
<input type="hidden" name="__VIEWSTATE" id="__VIEWSTATE"
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<h1 style="font-size:2.3rem;">Delete Data, Save the Environment</h1>
<ul class="taglines mb-3 mb-lg-5">
<li><span>eDiscovery</span></li>
<li>4 min read</li>
</ul>
<p>Incorporating data deletion practices into information governance initiatives provides many operational and cost-saving benefits. Retention policies should address what type of data to keep, for how long, and which devices employees
can use for business purposes. Factors such as compliance obligations, workflows, and case needs will influence policies. Artificial Intelligence (AI) is a great tool that can be used for data deletion decisions. For example, AI-based
reduction for eDiscovery provides legal teams with a more focused data set, saves resources, pinpoints key issues quicker, and streamlines resolutions.</p>
<p>Less data leads to better organization, lower storage costs, fewer documents to review during a case or investigation, freed up resources, and dark data reduction. This also provides valuable environmental benefits that often go
overlooked.</p>
<h2>Data’s Influence on the Environment</h2>
<p>Many people do not think about the physical presence data has in our world. While sending emails or texts instead of snail mail cuts down on paper usage, this data still exists somewhere on a physical server requiring energy sources
to operate. A ton of unneeded data lives on devices and in cloud storage taking up space and energy. Think about all of the spam or subscription emails sitting in various inboxes. In 2020, Good Planet concluded that the average
American has 500 unread emails consuming energy and producing extra carbon dioxide. This is just looking at one data source, and emerging technologies will only increase the amount of data present in the world. With organizations
leveraging new tech and operating off hybrid models, it is crucial for those that have committed to prioritizing environmental initiatives to think about how their business practices tie into their overall carbon footprint. Simply
put, less data means reduced server space, resulting in decreased energy usage. Being proactive with information governance and AI implementation can advance this goal.</p>
<h2>Four Data Reduction Tools</h2>
<p>Data deletion and reduction are strategic factors that most organizations consider to some degree. Here are practices to implement or strengthen that will not only enhance operations and efficiency, but also reduce an organization’s
carbon footprint.</p>
<ol>
<li>
<p><strong>Retention protocols</strong>: <a href="/en-us/services/regulatory-compliance/information-governance">Information governance</a> is an ongoing effort to manage information from multiple perspectives with multiple
objectives. There is always room for improvement. Organizations should reevaluate retention policies once a year (if not more frequently) to factor in compliance, stale data, migration needs, duplicative files, and similar
concerns. Consider environmental goals as a part of this process to further refine retention processes. For example, look into whether employees are saving the same document or graphic in several locations. Addressing matters like
this will declutter internal storage while also lessening the impact that saving multiple copies has on the planet.<br> </p>
</li>
<li>
<p><strong>Communication controls</strong>: Email and instant messaging are common places where data builds up, thus requiring more physical server storage. Analysts have found that the average office worker receives 121 emails per
day, which equates to 0.6 tons of CO2e a year. Having policies around deletion and subscription allowance for work emails and
<a href="/en-us/services/ediscovery-litigation-investigation-services/epiq-chat-solutions">messaging systems</a> are simple strides that can contribute to less fossil fuel usage resulting from the energy needed to power data
storage centers. Automating deletion after a certain timeframe on messaging systems is a good option to explore. Email oversight is a little trickier to automate, as so much content variety exists in a person’s inbox. Training and
management check-ins on compliance would be helpful tools in this area.<br> </p>
</li>
<li>
<p><strong>Early Case Assessment</strong>: Legal teams have been using TAR and similar tools for years during the eDiscovery review phase. A new trend is leveraging AI tools at the outset of a case or investigation to cull datasets
and focus review. This eliminates unnecessary data to host, review, and exchange with opposing parties. Legal teams are also able to
<a href="/en-us/services/ediscovery-litigation-investigation-services/case-insights">uncover insights</a> that aid with settlement negotiations, case strategy, and valuation. The downstream effect can help close matters quickly
and efficiently while also saving energy. In 2020, Data Center Knowledge reported that data centers use about one percent of all electricity in the world each year. Increased digitization will only make this percentage larger, so
any small effort can contribute to making a difference.<br> </p>
</li>
<li>
<p><strong>Other AI avenues</strong>: There are many innovative AI solutions that can help solve various business challenges while also reducing data. For example, using AI when migrating to the cloud can ensure that only documents
designated with business use, under <a href="/en-us/services/regulatory-compliance/information-governance/defensible-deletion">legal hold</a>, or needed for compliance move to the storage platform. Automated tools that can
classify data will help determine what to keep and what to toss. Also look for cloud providers that build sustainability into their models when vetting potential partnerships, as the provider’s efforts will translate to the
organization.<br> </p>
</li>
</ol>
<p>Determining where process gaps exist can also shine light on where organizations can use AI to reduce human error and improve efficiency. Layering tools for a case or investigation will accomplish tasks faster with more precision.
Other areas to explore include contract management, contract analysis, and <a href="/en-us/services/regulatory-compliance">privacy compliance</a>. Simply put, less data to review and human intervention will ultimately save on energy.
Building environmental concerns into workflows can also provide opportunities for AI-generated data insights that illustrate whether an organization is meeting goals for reducing its carbon footprint. This provides a basis for
auditing, extra training, and changed processes to continuously improve sustainability efforts.</p>
<h2>Conclusion</h2>
<p>Through the mechanisms above, organizations can reduce their carbon footprint while also transforming business practices, advancing efficiency goals, and meeting compliance obligations. This is a win-win situation with opportunity
for growth. Remember that education and oversight are crucial to success and new habit formation throughout the organization. Use data insights to benchmark progress and help effectuate change. Organizations on transformation journeys
are likely already advancing these steps, however being aware and building sustainability into planning will only enhance outcomes further.</p>
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DELETE DATA, SAVE THE ENVIRONMENT
* eDiscovery
* 4 min read
Incorporating data deletion practices into information governance initiatives
provides many operational and cost-saving benefits. Retention policies should
address what type of data to keep, for how long, and which devices employees can
use for business purposes. Factors such as compliance obligations, workflows,
and case needs will influence policies. Artificial Intelligence (AI) is a great
tool that can be used for data deletion decisions. For example, AI-based
reduction for eDiscovery provides legal teams with a more focused data set,
saves resources, pinpoints key issues quicker, and streamlines resolutions.
Less data leads to better organization, lower storage costs, fewer documents to
review during a case or investigation, freed up resources, and dark data
reduction. This also provides valuable environmental benefits that often go
overlooked.
DATA’S INFLUENCE ON THE ENVIRONMENT
Many people do not think about the physical presence data has in our world.
While sending emails or texts instead of snail mail cuts down on paper usage,
this data still exists somewhere on a physical server requiring energy sources
to operate. A ton of unneeded data lives on devices and in cloud storage taking
up space and energy. Think about all of the spam or subscription emails sitting
in various inboxes. In 2020, Good Planet concluded that the average American has
500 unread emails consuming energy and producing extra carbon dioxide. This is
just looking at one data source, and emerging technologies will only increase
the amount of data present in the world. With organizations leveraging new tech
and operating off hybrid models, it is crucial for those that have committed to
prioritizing environmental initiatives to think about how their business
practices tie into their overall carbon footprint. Simply put, less data means
reduced server space, resulting in decreased energy usage. Being proactive with
information governance and AI implementation can advance this goal.
FOUR DATA REDUCTION TOOLS
Data deletion and reduction are strategic factors that most organizations
consider to some degree. Here are practices to implement or strengthen that will
not only enhance operations and efficiency, but also reduce an organization’s
carbon footprint.
1. Retention protocols: Information governance is an ongoing effort to manage
information from multiple perspectives with multiple objectives. There is
always room for improvement. Organizations should reevaluate retention
policies once a year (if not more frequently) to factor in compliance, stale
data, migration needs, duplicative files, and similar concerns. Consider
environmental goals as a part of this process to further refine retention
processes. For example, look into whether employees are saving the same
document or graphic in several locations. Addressing matters like this will
declutter internal storage while also lessening the impact that saving
multiple copies has on the planet.
2. Communication controls: Email and instant messaging are common places where
data builds up, thus requiring more physical server storage. Analysts have
found that the average office worker receives 121 emails per day, which
equates to 0.6 tons of CO2e a year. Having policies around deletion and
subscription allowance for work emails and messaging systems are simple
strides that can contribute to less fossil fuel usage resulting from the
energy needed to power data storage centers. Automating deletion after a
certain timeframe on messaging systems is a good option to explore. Email
oversight is a little trickier to automate, as so much content variety
exists in a person’s inbox. Training and management check-ins on compliance
would be helpful tools in this area.
3. Early Case Assessment: Legal teams have been using TAR and similar tools for
years during the eDiscovery review phase. A new trend is leveraging AI tools
at the outset of a case or investigation to cull datasets and focus review.
This eliminates unnecessary data to host, review, and exchange with opposing
parties. Legal teams are also able to uncover insights that aid with
settlement negotiations, case strategy, and valuation. The downstream effect
can help close matters quickly and efficiently while also saving energy. In
2020, Data Center Knowledge reported that data centers use about one percent
of all electricity in the world each year. Increased digitization will only
make this percentage larger, so any small effort can contribute to making a
difference.
4. Other AI avenues: There are many innovative AI solutions that can help solve
various business challenges while also reducing data. For example, using AI
when migrating to the cloud can ensure that only documents designated with
business use, under legal hold, or needed for compliance move to the storage
platform. Automated tools that can classify data will help determine what to
keep and what to toss. Also look for cloud providers that build
sustainability into their models when vetting potential partnerships, as the
provider’s efforts will translate to the organization.
Determining where process gaps exist can also shine light on where organizations
can use AI to reduce human error and improve efficiency. Layering tools for a
case or investigation will accomplish tasks faster with more precision. Other
areas to explore include contract management, contract analysis, and privacy
compliance. Simply put, less data to review and human intervention will
ultimately save on energy. Building environmental concerns into workflows can
also provide opportunities for AI-generated data insights that illustrate
whether an organization is meeting goals for reducing its carbon footprint. This
provides a basis for auditing, extra training, and changed processes to
continuously improve sustainability efforts.
CONCLUSION
Through the mechanisms above, organizations can reduce their carbon footprint
while also transforming business practices, advancing efficiency goals, and
meeting compliance obligations. This is a win-win situation with opportunity for
growth. Remember that education and oversight are crucial to success and new
habit formation throughout the organization. Use data insights to benchmark
progress and help effectuate change. Organizations on transformation journeys
are likely already advancing these steps, however being aware and building
sustainability into planning will only enhance outcomes further.
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