Legal Analytics and Data-Driven Law: The Technological Future of LexisNexis

Posted on 06-08-2017 by
Tags: analytics , machine learning , artificial intelligence

data analytics

Artificial intelligence offers the opportunity for new and real insights from big data collections.

 

Legal analytics and next-generation technology are guiding the future of legal practice. Recently, Jeff Pfeifer, Vice President of Product Management at LexisNexis, sat down with Ari Kaplan to discuss theses advancements and how they empower the data-driven lawyer of today and tomorrow. 

In this podcast, Jeff addresses LexisNexis technology tools and their seamless integration into an attorney’s workflow. He also discusses the impact of machine learning and artificial intelligence in relation to legal insights and big data.

Read Jeff’s thoughts on workflow integration and machine learning in the interview excerpt below.*

 

Ari Kaplan: How does LexisNexis integrate the various tools that it offers for data-driven insights?

Jeff Pfeifer: The guiding light in the way we think about designing products is to examine attorney workflow and then link the various products that we offer into that workflow. So for example, we’ve been looking at the area of document drafting. And in document drafting, there’s the obvious drafting task, which often occurs in Word. And there are research questions that might occur in our Lexis Advance offering. There is the need to check precedent, either from a firm’s in-house collection or from external sources. And then there’s the need to merge all of that together ultimately into the draft of a document. So for us, we’ve been looking at each of those areas and trying to connect them together into an integrated workflow solution. So we recently linked, for example, Lexis for Microsoft Office, which is a tool that interacts with Word, with our flagship offering Lexis Advance, also connected to Lexis Practice Advisor, which is a practical guidance solution that offers access to precedent documents in an external collection, and finally, our Lexis Search Advantage product, which helps mine internal work repositories. So the goal at the end of the day is to really develop a linked system that allows the user at any stage in the drafting process to most effectively deliver an integrated solution in a document, which is the goal of the workflow activity.

  

Ari Kaplan: How are machine learning and artificial intelligence impacting this area?

Jeff Pfeifer: We are at a period where artificial intelligence offers the opportunity for new and real insights from big data collections, hence the investment that I talked about earlier. We really see artificial intelligence and most of what’s happening in the legal space right now connected to machine learning. That is really idea that computers are programmed to best understand human language, not only human language, but legal language, and then knowledge graphs and other relationships are mapped so that we can build a more dynamic and interactive interplay between humans and computers. My sense is there’s a lot of confusion in the market right now about the promise of artificial intelligence.

 

Listen to the full podcast with Jeff Pfeifer: Empowering the Data-driven Lawyer of the Future

* From Reinventing Professionals, May 12th, 2017. Reprinted with permission.

Click here for more information on how LexisNexis is supporting today’s data-driven lawyer.


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