“The most important thing that you need to remember about a mentoring relationship is that it’s individual, because it’s about the person,” says Diane Brink. “There’s not a script or a standard operating procedure.”
The concept for NexLP had been brewing for many years, but in 2013, the vision finally became a reality.
That’s when an entrepreneurial team of data scientists, programmers, and eDiscovery experts came together to create our next-gen cognitive analytics solution using Artificial Intelligence (AI) and Machine Learning (ML) that would redefine how legal firms and corporations thought about the application emotional intelligence to solve real-world problems.
Today, NexLP is continuing to expand its mission by using artificial intelligence and advanced cognitive analytics to help a new wave of enterprise clients leverage their unstructured data. But that’s just our professional bio. We’re more than what we put on paper.
Enterprise risks fuel the fear of the unknown, which can cause organizations to unnecessarily invest time and money into manual processes or lack of processes that are neither efficient nor protect the company and its employees. Sometimes training and manuals are not enough to protect enterprise value.
Artificial intelligence can protect enterprises from risk by predicting issues long before an internal team can flag potential issues.
Dr. Roth’s research focuses on the study of machine learning and inference methods to facilitate natural language understanding. With an emphasis on computational foundations of intelligent behavior, he is dedicated to developing theories and systems pertaining to intelligent behavior using a unified methodology. At the heart of this is the idea that learning has a central role in intelligence.
Deep learning, a component of AI and machine learning, allows for knowledge to be gained using artificial neural networks that are modeled on how a human’s biological nervous system operates. While this concept has been around for decades, recent technological advances have allowed software to compute data at rapid rates in order to gain a comprehensive overview more effectively.
By having a deeper understanding of the context of data, and how past scenarios predict what may occur in the future, this process is applicable in detecting levels of risk that a certain outcome may occur.
The future of legal services is about levering advanced technology to boost efficiency, capture cost savings and keep current and prospective clients happy. This has created a race to implement solutions that tap into the power of artificial intelligence and machine learning.
In a recent LegalTech News article, author Sean Doherty takes a deep dive into how law firms are leveraging such technology to create new business models. He highlights one key point showing how law firms should be thinking about the future of AI. This article highlights NexLP’s proprietary Story Engine, and why it’s helping define the future of how AI is being applied to legal services.
Using Artificial Intelligence to analyze data isn’t a new concept. Using AI technology to make sense of disparate, unstructured data — giving it context — and turning that analysis into meaningful insight to solve real-world problems and create opportunities for legal and compliance teams is the future of AI.