This week I embark on a five-part podcast series sponsored by Hanzo. In this series we consider how to leverage artificial intelligence (AI) in compliance investigations. In this series I am joined by several members of the Hanzo team as we explore the current best practices around investigations and how your compliance function can take investigations to a level of cost efficiency and operational proficiency.
Our explorations includes considering the current Department of Justice (DOJ) guidance on investigations, the use of AI in the Hanzo Investigator, how Hanzo technology can help a company overcome common investigative challenges and Hanzo’s specific approach to finding and managing data across the entire lifecycle of an investigation. In this Part 3, I am joined by again Jim Murphy, VP for Products at Hanzo to consider more specifically how this technology has been used by legal professionals in the past and why this matters for compliance professionals going forward.
I began by asking Murphy how the Hanzo Investigator has helped legal and eDiscovery professionals in their investigations? Murphy related that he would “put on my technical product development hat and talk a little bit about some of the new functionality we are in the process of building to continue pushing the envelope when it comes to finding, collecting, and analyzing web and social-media based evidence for investigations.” Murphy said there are three pillars to the Hanzo approach.
The first pillar is to find the right data on the web. Hanzo is continuing to integrate with additional data sources which enhances discovery of content primarily by making that connection between subjects and social media. Hanzo data scientists have a significant focus on making that process more robust, making it faster and more accurate. The second pillar is in the data. He noted, “a big focus from our data science team is how can we analyze this data to make it most useful for our customers? And one of the directions that we’re looking at is a rating or ranking effort.” Murphy went on to detail that with a “corpus of data and given a particular scenario using machine learning algorithms, am I able to predict and rank how likely there is a risk here for our customers.” The third pillar is to try and make that budget as effective as possible. This means that if there is “a ton of data to look through, how can I make sure it is most likely to contain the risky information that you need to take a look at?”
We then turned to a case study in which Hanzo utilized involving a number of lawsuits all based on an accident. Hanzo was able to find, obtain and secure multiple important pieces of information about particular subjects that were involved. Murphy noted, “I think is interesting that what we brought through our investigations was the capture and preservation of a significant amount of the news coverage surrounding the event.”
A second case involved the theft of intellectual property (IP) involving employees who left their company and the company believed it was very likely that the former employees had taken some IP with them. Using Hanzo tools, this theft was corroborated by internal messages and communication within the firm. Murphy related, “when we really started working on the case with them, we asked, ‘has anybody been talking about this out on social media?’ For instance, have there been connections between certain individuals? Have they been bringing up the idea of starting a new company and bringing some of that data with them?”
This type of work clearly portends where compliance investigations will be headed. This enhanced ability to not only review data but to actually analyze it is something that is always on the forefront of a compliance practitioners mind. Compliance professionals often ask, “I’ve got this data but what does it mean?” Murphy responded, “when it comes time to run an investigation, there’s a mountain of data. It is not reasonable to be able to make it through a review of everything. This makes it important to the process by focusing on the most relevant or most likely to be relevant data.”
Join us in our next episode where we will continue the conversation with Keith Laska, Hanzo Chief Executive Officer (CEO), to consider how all of this improves the workflow and processes around solving complex problems that compliance professionals experience at work around data.