AI Model Library: What Is It — and Why It's Disrupting 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.

That’s the story that NexLP is defining through its AI platform that uses a sophisticated model library approach that goes far beyond simple text analysis. Instead, this next-generation language processing is able to deliver richer, more actionable insights using deep learning, linguistic intelligence, content classification, emotional intelligence and behavioral intelligence.

Learned Behavior for A Better, Faster Outcome

An AI model library is similar to how a human brain develops. For example, when a person receives a negative outcome from an action, they learn to not engage with that action again. By picking up, or learning from signals, human nature adapts to avoid the same situation from occurring again. Learned behavior is also based on patterns, which can alert someone to when something may be wrong — or when something wrong may soon occur.

By capturing and studying the expertise and experience of a past occurrence, and attempting to containerize that knowledge, a specific scenario can be re-created. What an AI model library does is collect and analyze that same information — but at a rate drastically faster than a human brain could compute. As a result, firms can save time, reduce costs, win new clients and extend existing client relationships without new investments.

No human could replicate this process unless they read every single company email and document, remembered each and every detail, was able to learn and absorb along the way and reach the same conclusions an AI solution could derive. Lawyers and investigators have been finding and labeling documents for over 20 years, but they have never had the technological capabilities to review and analyze data documents with contextual review or at scale with such speed and accuracy.

Until now.

‘Predictive Coding Without the Coding’

NexLP Story Engine™ leverages previous cases into AI Models, which can be used on all new cases to instantly understand priority documents, people, and facts. A model AI library approach leverages a companies expertise for instant AI detection of relevant documents.

By leveraging the expertise gained from the study of previous cases, and years of legal experience, our technology is able to continually gain more knowledge, get smarter, and help contribute to the development of the code. We call it “predictive coding without the coding.” With the help of AI Models, organizations now have the ability to understand the key people, facts, and hot documents, all the while reducing costs and increasing efficiencies.

This allows for that disparate, unstructured data - including documents, email communications, business chat messages - to be turned into meaningful insight in order to create a truly comprehensive view of the entire data universe.

Using Past Patterns to Detect Future Problems

By taking a company’s past data (AKA: past eDiscovery cases), NexLP’s software builds an AI model library. This involves tracking patterns, places, names, facts and putting those into mathematical model that can be reported to the client — quickly and efficiently in ways that are unmatched in the market.

An advanced AI approach augments a human’s ability to identify social networks, patterns, anomalies, behavioral changes, emotion, key actors, and topics to find key information needed. Leveraging NexLP’s Story Engine™ allows eDiscovery and compliance teams to turn previous cases into AI models. This is applicable for data interrogation, eDiscovery, information, governance, and investigations to solve the “story gap” that often exists in the review of the data and documents of these cases.

These AI models can then be used on all new cases to instantly understand priority documents, people, and facts. NexLP uses artificial intelligence and machine learning to solve the “story gap” problem in eDiscovery and Investigations. Consistently learning from analysts, our AI platform works behind the scenes to help users find relevant information and key documents faster than ever before.

Firms can receive instant AI detection of relevant documents, reduce costs, increase efficiencies — helping firms win new clients and extend existing client relationships without new investments. This comprehensive approach provides the level of sophisticated analysis needed in today’s market.

What this process does is allow for the comparison of old and new data to draw out similar facts, patterns, and places. An AI model library approach detects problems that may arise — based on past patterns — or those that have just started occurring from the same results. That’s the power of an AI model library, and why it’s disrupting the legal services space.

Jay Leib

Jay Leib is the CEO of NexLP, Inc. Jay has successfully founded and led software start-ups throughout his career. Most recently, Mr. Leib was at Chicago-based Relativity (formerly kCura) as the Chief Strategy Officer. Relatiivity is a Chicago based company focused on the eDiscovery vertical.