Ulf Zetterberg: It’s almost like a knowledge management system because if these self-service systems are built the correct way, an intelligent user can leverage this as a knowledge platform and perhaps do advance queries. It becomes almost like a dialogue. There’s a big debate in the legal industry about the automated lawyer or the IT lawyer and
Sramana Mitra: This is actually a good segue to my final question. Where do you point entrepreneurs to look for opportunities for building new companies? I think we’ve already started that discussion. If you take the base layer of unstructured data and then on top of that, you look at the different application areas. You
Sramana Mitra: You say it’s broader than that. The unstructured data problem in the enterprise is a broader problem, but I believe it’s going to get solved in pieces just like the contract problem will be solved at the contract lifecycle management level. Then there are other types of unstructured data in the enterprise. There
Sramana Mitra: What does an enterprise account look like for you? Ulf Zetterberg: Enterprise accounts are very distributed and fragmented. It could have two or three fairly old legacy data sources. It could be that the applications have been there for five to ten years. The usability and transparency is very poor. It’s a big
Unstructured Data Analysis coupled with Machine Learning is the most exciting area of business right now. In this interview, we discuss how Ulf and his team apply the process to Contract Analysis. Sramana Mitra: Let’s start with introducing our audience to you. Tell us a bit about your background as well as Seal Software. Ulf
Vance Loiselle: Right now, the approach being taken by most organizations is, “We know there’s data out here. Let’s just go solve it with maybe a big data project on Hadoop.” There’s a huge opportunity for organizations to go look at how they address specific verticals and solve specific vertical problems – whether it be
Sramana Mitra: Are you thinking about this in terms of a platform? Let’s say you provide the platform and infrastructure to bring all this data together in an accessible, manageable, and query-able way. On top of that you are going to need heuristics that are application specific. That brings me back to my original question
Sramana Mitra: When you say that it changes the paradigm, are you talking from the perspective of speed, or also from the perspective of what can be done and what problems can be solved? Kon Leong: Both and more. The world of e-discovery still hasn’t passed through the impact of being able to have a