Everything you need to know about RelativityOne

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What is RelativityOne?

RelativityOne is the open cloud platform for the handling of unorganised, unstructured data – a powerful document review platform purpose-built for the cloud. 

RelativityOne empowers legal professionals to store and control millions of documents across limitless devices and jurisdictions from one single, easy-to-use interface. 

Overall, it helps legal professionals to handle data more effectively. That means smarter and faster leveraging of ESI (electronically-stored information), for smarter and faster decision-making. 

Whether it is used for litigation, information governance, a government request, or an internal investigation, the power of RelativityOne’s cloud-driven capabilities can unlock more productivity, more efficiency, and more value for those that use them.

 

How RelativityOne has helped Altlaw

You might have read that we at Altlaw made the decision to move our operations to RelativityOne in 2019.

Even as eDiscovery service providers ourselves with a high amount of technological literacy and expertise within our field, we found that we were devoting an unsustainable portion of our specialist resource merely to the management and maintenance of our tech infrastructure.

Now thanks to RelativityOne, our staff are more productive than ever and we have considerably more freed up resources to dedicate to our projects and clients, allowing us to deliver an exceptional service every time.

Leveraging the solution’s scalability and efficiency, we can simply say yes to more. With less strain on our staff, and more efficient, inherently productive practices and workflows, we can commit to those projects with a tighter turnaround, or that involve a higher volume of work, or a more complex workload than normal. We now allocate around 80% of our internal resource exclusively to client work.

You can learn more in this video on the Relativity YouTube channel.

eDiscovery in the cloud

For those of you that weren’t familiar with Relativity’s initial eDiscovery offering, the Relativity platform was designed to support the processing, review and analysis of large volumes of electronically stored information. 

Using best-in-class technology, Relativity can quickly identify key issues relating to anything from litigation procedures to compliance risks.

RelativityOne combines the powerful eDiscovery capabilities of Relativity with the elasticity, scalability, and cost-effectiveness of the cloud (in this particular case, Microsoft Azure Cloud).

Whether you’re a private law firm or a legal team within a large corporate, data storage and management in the cloud offers companies reduced IT costs, and the ability to securely access vital information from any place, at any time.

Cloud-enabled security

RelativityOne has been praised by its partners around the world for the way it provides world-class security without compromising on control. 

Trust us when we say that with RelativityOne, you can rest assured that your business-critical data is being stored and managed within a completely secure environment.

Interestingly, it wasn’t too long ago that we at Altlaw were still addressing mainstream industry concerns regarding the security of a cloud-based eDiscovery solution.

But since then, the vast majority of legal professionals have had to adapt to survive – diving head first into the world of digital transformation, and becoming more accustomed to technologies that can remotely store and handle sensitive data.

Even so, we understand that there are still likely to be questions surrounding how secure cloud-based eDiscovery really is. And you’d be right to ask these questions. It’s the right mindset to have before making any serious decision on how your data should be stored.

“So, how can I be sure of its security?”
Data stored in the cloud is extremely secure. The reason for this is that cloud providers such as Microsoft Azure, Amazon Web Services, and Google Cloud are all obligated to comply with dozens of rigorous compliance standards. Some international, some industry-specific.

If you want to learn more about these, look into ISO 27001, SOC 2, Type II, HIPAA, and FedRAMP for starters.

“Won’t the cloud make our data more accessible to cybercriminals and other online threats?”
Whereas legacy on-premise eDiscovery platforms store your data on servers (which are owned and managed by your eDiscovery provider), RelativityOne stores your data on servers owned and managed by a third party. 

In the case of RelativityOne, the third-party in question is Microsoft.

However, Microsoft does not have access to this data. All the data held in cloud storage is encrypted by ReletativityOne’s ‘Lockbox’ system. This encodes every data storage environment with an individual cipher, which only the eDiscovery provider in question can access, using their personal ‘encryption key’. 

So even in the extremely unlikely event that someone from Microsoft were able to access your stored information, the files would be in a ‘hashed’ state – rendering them incomprehensible to the human eye.

Still want to know more about RelativityOne’s security credentials? Click here

Cloud-enabled scalability

Whether you need to scale up data handling capabilities for a particularly large project, or you need to work collaboratively with different teams spanning a variety of locations, timezones and devices – with RelativityOne you can do so without a hitch.

Thanks to its agile, scalable architecture, the RelativityOne system can rapidly adjust its available resources to perfectly match your workload. 

This gives us at Altlaw the capability to handle tasks like imaging, OCR, production branding, processing and more for our customers.

And, we can do so exponentially faster than a typical on-premise, server-based environment, meaning our clients can access their data in easily, efficiently, and in a far more consistent manner. 

RelativityOne is a platform with an Open Source API, meaning that users can design, build and integrate custom applications into it – extending the functionality of the solution in a multitude of different directions.

New Relativity apps are constantly being developed both by Relativity themselves, and the wider Relativity development community.

This means the platform is highly configurable, able to be tailored to fit incredibly specific needs of individual users.

Let your data do more with advanced analytics

Analytics is a highly data-driven, mathematical approach to processing and reviewing documents, and indexing them for certain topics or elements of relevant subject matter. 

To summarise the benefits of advanced analytics in short, it essentially means that the most expensive eyeballs in your project team can see the most relevant information they need in as short a time as possible.

The onboard analytics in RelativityOne not only allow you to quickly interpret vast volumes of complex information across varying formats in a quick, and easy-to-understand snapshot, but they also allow you to interrogate that data – to interact with it, and dig deeper to find real actionable insights, and identify relationships between corresponding pieces of information.

RelativityOne’s analytics capabilities effectively equip your team with the knowledge to help make them faster, better and more effective decisions.

Dashboards can be customised with as little as a few clicks, to help arrange your data according to the most relevant needs of your team, a particular project, or the interests and demands of a particular client.

Read on to learn more about the specific analytics tools that exist within RelativityOne, and how you can leverage them to enhance your eDiscovery capabilities.

Email threading

Email Threading can massively reduce the time and complexity of review processes by intuitively grouping case emails, including all forwards, replies, and reply-all messages.

Email threading tools can also identify email relationships (ie specific conversations, how emails relate to key individuals involved in a case, as well as email attachments) and extracts and normalise email metadata.

The analytics engine can also determine which emails belong to the same thread group, overcome and correct any data inconsistencies (such as timestamp differences generated by different servers) and then determines which emails contain relevant content that should be reviewed.

Overall, this significantly ramps up the speed at which one can conduct an intelligent investigation, and find the most relevant, content-rich information from a batch of data.

For those looking to achieve accuracy and precision, while remaining sure that they looked through all of the information available, analytics tools can allow teams to narrow down the document list and cut redundant content without missing any crucial information. 

Clustering

Clustering tools go beyond the standard keyword and key phrase searches, allowing users to group documents based on their conceptual or contextual similarity – unlike typical categorisation tools however, clustering requires very little manual input as it uses smart technology, it is therefore another great addition to the toolkit for streamlining your internal operations and workflows.

How your case documents are organised for review is an undeniably decisive factor in the efficiency and accuracy of your review, as well as how much it costs your business.

This process of organizing documents with similar content into “clusters” can help reviewers make quicker decisions and promote consistency and make manual review processes far more consistent, generally reducing the scope for human error and, indirectly, any potential need for corrections or duplicate effort.

Near duplicate detection

Near duplicate detection is a textual analytics tool available from many eDiscovery solutions, which works on what we refer to as ‘structured’ analytics rather than ‘conceptual’ analytics.

One problem with certain reviewing technologies is that they measure the similarity of documents by their ‘hash value’ (a unique numeric value that is more related to the format of a piece of data than its substance) rather than their actual written contents.

Say for example you have two copies of an email within a data batch, one formatted normally, but the other version is formatted as a PDF. Despite them both containing the exact same text, the hash values of these two files would be completely different. 

By homing in on the textual content of the data itself, regardless of format, near-duplicate identification will catch similarities like these. This can greatly accelerate the speed of document review while improving accuracy, significantly so when used in conjunction with TAR of large volumes of documents at once, or where large volumes of significant hard copy documents have been digitised.

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