Cyber Forensic Expert Lee Neubecker and ZyLAB’s eDiscovery Director Jeffrey Wolff discusses how ZyLAB Artificial Intelligence (AI) solutions can help your company. ZyLAB is an eDiscovery provider that works with government entities, corporations and law firms to provide data solutions. ZyLAB assists in extracting value from data, and not just metadata, but also document review that is about looking for entity information. ZyLAB is able to search for key people, places, and organizations that are mentioned in documents and/or emails, and quickly drill down to what is going on in your organization.
Watch this important final part of our 3-Part Series on Artificial Intelligence Solutions and eDiscovery. You will learn about what ZyLAB offers that will help your company with document review and ultimately save time and money.
Part 3 of our 3-Part Series Artificial Intelligence (AI) solutions and eDiscovery
The Video Transcript Follows.
Lee Neubecker (LN): Hi, I have Jeff Wolff, back on the show from ZyLAB. Jeff, thanks for coming back on.
Jeff Wolff (JW): Thank you.
LN: He’s their Director of eDiscovery, and I wanted to ask him some questions as it related to what differentiates ZyLAB from other products out on the market. Some of my clients may want to use this type of artificial intelligence program to help get through their review and see what the results are of using AI versus the traditional e-discovery review process, so.
JW: Sure.
LN: Jeff, could you tell us what sets ZyLAB apart from other competitors in the marketplace.
JW: Sure, sure, so first, I think ZyLAB is uniquely positioned in the fact we understand the corporate space quite well, as well as the law firm space, but we got our start in the corporate world, or in information governance. So we are very vested in search and data science, and that’s really where we’ve put a lot of our focus. We have both on-premise solutions, as well as cloud-based, SaaS solutions like every other next-gen provider. But we really push our interface, our user interface and our user experience, as one of the most unique selling points. And that is, that it is not difficult to start using. Anyone, any legal professional can pick up our product in an hour, from start to finish, and understand really how you utilize it. Drag and drop interfaces for getting data into the system, and immediate color-coding and tagging, easy search, and the ability to really visualize your data and understand what’s in the dataset.
LN: Okay. So, what would you say for a company that has to deal with multiple jurisdictions, they’re in Europe, they’re in the US.
JW: Sure.
LN: There are some unique challenges posed by all the various regulations out there, like GDPR.
JW: Right.
LN: Maybe the have operations in China. How could you help a company that has to deal with various regulatory authorities spanning the globe?
JW: Sure, and that’s another advantage that ZyLAB has, actually, we’re actually a global company, so we’re dual-headquartered in Washington, D.C., here in the US, as well as Amsterdam in the Netherlands, in the EU. And as a result, we have cloud operations in both jurisdictions. So our global customers can actually keep US data in the US, and they can keep European Union in the EU, and not worry about that issue. But we also have the expertise, consulting expertise, in both environments, both geographic locations. For example, I’m doing a lot of work now with corporations, not so much focused on directly just on e-discovery, because e-discovery is a bit reactive, you know? Or corporations go through peaks and valleys with e-discovery, the litigation, something they have it, sometimes they don’t. What they constantly have though, are internal investigations, regulatory responses, in the highly regulated corporations. And more and more now, data privacy concerns. So, my European colleagues have been dealing with GDPR for a while, we’re now starting to feel it here in the US, with CCPA, the California Consumer Privacy Act. And there are a number of states on the horizon that are going to California’s examples, so corporations need to be able to find, and classify all the data that they have in their organization that has customer information because if those customers request it and they can’t provide it, they’re financially in a lot of trouble.
LN: Do you think that the regulations coming down on companies are going to fundamentally change how companies chose to communicate with their vendors, suppliers, and own employees?
JW: Absolutely. If you look at all the recent data breach situations, it’s typically not the organization that has the problem, and I won’t mention any of the large companies that have recently had data breaches, but it’s typically not the original company that had the issue, it’s one of their suppliers, or one of their vendors that had accesses to the database, and wasn’t protecting it properly, and that’s how the trouble began.
LN: Yeah.
JW: Same thing with data privacy.
LN: The supply chain certainly is a huge point of vulnerability for all types of organizations. The governments, the military.
JW: Yep.
LN: and even corporations.
JW: Yes.
LN: So what do you see happening over the next few years with the adoption of AI platforms?
JW: I think the e-discovery market is going to fundamentally change. There’s still always going to be a need for discovery within corporations and law firms, but what you do you with the data is going to become much more important, so it’s going to be about how you can extract value from the data, not just metadata, which we’ve always been able to do for years now, but now more about looking for entity information. People, place, organizations that are mentioned in documents and emails, and collaborative environments, and being able to visualize those, and quickly drill down to what was going on in your organization. You know, if you got people that are going to the dentist three times a week, they’re not doing to the dentist, they’re doing something else, They’re just writing about going to the dentist.
LN: Yeah.
JW: Software like ours that can identify those references in documents are going to be crucial to the success of organizations.
LN: That’s great. So it seems that there’s continued e-discovery service provider consolidation out there.
JW: Mhmm.
LN: The companies that are using tools that are more of a channel partner tool to resell.
JW: Yes.
LN: But as those companies consolidate, do you think that there’s going to be a movement away from those providers where, the company, the firms, directly do their own e-discovery?
JW: Oh, yes. Yeah, very much so. We’ve been seeing that over the last few years. A lot of companies, even small companies that tend to have, in the past, just used outside vendors for e-discovery, are now deciding that they prefer to control, not just the cost, but also their data. They don’t want their data outside of the organization for reasons we’ve already talked about. So they’re purchasing in-house tools that they can use themselves, and then they can invite outside counsel in to make use of, that way they control their costs, they control the efficiency, and they control the data.
LN: Well, this has been great. Thanks a bunch for being on the show.
JW: Thank you again.
LN: Take care.
JW: Bye-bye.
Part 1 of our 3-Part Series on Artificial Intelligence
Part 2 of our 3-Part Series on Artificial Intelligence
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