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Relativity LLC

Relativity is One of Fortune's "55 Best Companies to Work For in Chicago"

Below is part of an article originally published by Fortune on May 21, 2019. This information is about PowerToFly Partner Relativity. Go to Relativity's page on PowerToFly to see their open positions and learn more.

Information technology, health care, financial services—and a school district. This year's list of best companies to work for in Chicago contains quite a variety of workplaces, from large companies to small and medium-sized companies alike, due to employee feedback analyzed by Fortune research partner Great Place to Work. Take a look at the list below and learn more about the methodology here.

19. Relativity

Industry: Information Technology
U.S. employees: 806
U.S. revenue: Confidential
Headquarters: Chicago, Illinois

Employees say:

"People here are very positive, and when things go wrong, people feel able to openly discuss issues. It's a very encouraging work environment, and I feel inspired to give my best."

Read the Great Place to Work review here.

Relativity LLC

"How e-discovery requirements are changing: 5 questions with Relativity CTO Keith Carlson"

Below is an article originally written by Joyce Wells, editor-in-chief of KMWorld magazine, and published on April 29, 2019. This article is about PowerToFly Partner Relativity. Go to Relativity's page on PowerToFly to see their open positions and learn more.

Earlier this year, Relativity, a Chicago-based provider of legal software, announced plans to hire 300 people. As part of the expansion, the company named Keith Carlson as its new CTO.

Carlson was most recently general manager of payments and fraud at Amazon Web Services in Seattle, and is now responsible for technology and architecture strategy and oversees engineering delivery, engineering operations, and production engineering functions at Relativity—formerly known as kCura.

In his new role, the company says, he will be integral to maturing Relativity's SaaS delivery model with RelativityOne and expanding Relativity's reach into the unstructured data realm.

Carlson recently shared his views on the value of unstructured data, changing requirements for data privacy, and how the e-discovery space is evolving.

What are some of the approaches or technologies that you hope to plan to implement in your new role at Relativity?

Keith Carlson: As more customers adopt RelativityOne, we will continue to implement more cloud-native services to augment this growth. Thanks to the elastic scaling and storage already built in to our SaaS product, we can really focus on making the whole customer experience the best it can be.

At Amazon Web Services, you developed one of the first cloud fraud prevention and detection organizations and grew it to where it was evaluating 10 trillion pieces of data a day. How does the expertise and skills from that role transfer to the new responsibilities at Relativity?

KC: Building the Fraud Prevention team at AWS taught me the value of unstructured data. During my time there we developed sophisticated real-time analysis models that processed thousands of variables. Over the next decade, I believe that leveraging unstructured data will be a key part of the move to machine learning models, artificial intelligence and deep learning, and I believe that these technologies will impact just about every part of our lives. With the experience Relativity already has in the unstructured data space, I feel like I have been given a front row seat for what's coming. I can't wait to see where it goes and where we will take things.

Why is it important to extend Relativity's reach into the unstructured data realm?

KC: Customers love the extensibility of our platform because it allows them to address the unique needs of their business and clients in e-discovery and beyond. More and more we're beginning to see customers harness the power of our platform to build unique applications to previously-unsolved problems in the unstructured data realm. A great example of this is Deloitte's new Freedom of Information Act (FOIA) application which is built on top of Relativity. The application is used by government agencies to help them manage disclosure requests for government records using automation, analytics and scalable data compliance functionality. Internally, we're also committed to building out unique extensions of Relativity that help grow our business and promote new revenue streams. One area we're really excited about is proactive compliance and how our new Relativity Trace application works with businesses in regulated industries to stop bad behavior like fraud and insider trading before it happens.

How are changing views on data privacy affecting e-discovery solutions?

KC: Data privacy has made its way into regulation around the world and it has impacted how organizations manage data and e-discovery matters across borders. Now more than ever, it is important that users look for a single e-discovery solution with a global footprint, like RelativityOne, that can handle increasingly complex e-discovery matters in a secure and compliant manner.

What are the biggest challenges you see in the e-discovery?

KC: One area that is always top of mind for customers and continues to be a high priority for Relativity is data security, especially in the public cloud. Our goal is to lead the industry to SaaS through RelativityOne and one of the biggest hurdles we've identified is users being unsure around data security in the public cloud. We're confident that we can continue to quell any concerns around this topic by delivering a truly best-in-class security posture developed and implemented by our Calder7 security team and built into every avenue and process of the code that our engineering team develops. I'm looking forward to expanding engineering's partnership with our Calder7 team to ensure that our security remains a best-in-class pillar for our company and for RelativityOne.

Relativity LLC

"Doing it big with data: 7 Chicago companies detail how big data leads to real-world impacts"

Below is an article originally written by Alton Zenon III at Built In, and published on April 26, 2019. The following section of the article is about the team at PowerToFly Partner Relativity. Go to Relativity's page on PowerToFly to see their open positions and learn more.

Big data as a general concept is incredibly varied in its use cases and the conclusions it leads to. While it can be helpful in building out a single product, it can also be the basis of an entire business model. And oftentimes, regardless of what industry or purpose the data is used for, the quantitative vastness of a big data info-block is rivaled only by the qualitative minutia of the information presented.

We spoke to data experts at seven Chicago tech companies working with big data to find out just what they're doing with the enormous sets of information they collect and how those efforts translate to tangible things in real life.

Relativity

Relativity simplifies the discovery process during litigations, internal investigations and compliance projects with its cloud-based e-discovery software. Lead System Engineer Corey Wagehoft said the cloud is a key part of how his team leverages big data and keeps up with client demand.

How is your company leveraging big data as part of your product?

My team is primarily responsible for building a common shared compute platform for our development teams. This allows our SaaS product, RelativityOne, to scale to meet increased customer demand automatically. RelativityOne can process massive amounts of data, and we built this platform using widely adopted technologies that have been proven to handle the demand we require. We are also working with very bleeding-edge technology to open new opportunities for the developers building RelativityOne.

We can meet large-scale data demands on a much larger scale in the cloud than running our product in a traditional data center.

What is an example of a real-world impact you've produced using big data?

We can meet large-scale data demands on a much larger scale in the cloud than running our product in a traditional data center. No matter what size of data set that needs processing, we can meet the demand with no interaction necessary from our customers or operations.

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