AI and the Future of Legal Risk Mitigation

AI and the Future of Legal Risk Mitigation

Across the legal industry the need to proactively discover risk is about more than saving time and money — it’s about avoiding compliance headaches. A misstep has serious consequences.This is why you’re seeing law firms buy into AI and better eDiscovery tools that help serve their current clients better, and attract new business.

Not proactively mitigating risks in banking is a high-stakes game. A misstep could drum up serious compliance issues and lead to significant fines. Gartner estimates that up to 80% of enterprise data is unstructured. Within that data lies immense risk. This is why JPMorgan and Bank of America are earmarking millions annually for AI investments.

Avoiding Financial Compliance Headaches with AI

Avoiding Financial Compliance Headaches with AI

Not proactively mitigating risks in banking is a high-stakes game. A misstep could drum up serious compliance issues and lead to significant fines. Gartner estimates that up to 80% of enterprise data is unstructured. Within that data lies immense risk. This is why JPMorgan and Bank of America are earmarking millions annually for AI investments. Artificial intelligence can protect your organization from risk by predicting issues long before an internal team can flag potential issues.

Mitigating Risk in Pharma With AI

Mitigating Risk in Pharma With AI

Gartner estimates that up to 80% of enterprise data is unstructured. Within that data lies immense risk. Automating risk mitigation with AI can turn the data currently overlooked into actionable insights — helping you proactively pinpoint issues before they escalate. Artificial intelligence can protect your corporation from risk by predicting issues long before an internal team can flag potential issues.

Underwriting Discovery Risk In Insurance with AI

Underwriting Discovery Risk In Insurance with AI

The insurance industry is ripe for change when it comes to using technology to avoid risk. From real-time compliance monitoring that detects issues before they escalate, to detecting patterns to spot fraud and risk, the days of relying on manual discovery is long gone. Artificial intelligence can protect your corporation from risk by predicting matters long before an internal team can flag potential issues.

NexLP's Head of Machine Learning Featured Speaker at Women in eDiscovery Conference

NexLP's Head of Machine Learning Featured Speaker at Women in eDiscovery Conference

NexLP's Head of Machine Learning, Dr. Irina Matveeva, will be speaking this week on Thursday, May 9, on the 'Next Frontier of Machine Learning' panel at the Women in eDiscovery conference.

Women in eDiscovery is a global group with thousands of members and 28 chapters. The group is comprised of professionals within the legal industry including attorneys, litigation support professionals, paralegals, legal IT staff, court reporters, consultants, recruiters and vendors.

Dr. Matveeva was Employee No. 1. The ability to apply her research background toward real-world problems gave her all the motivation she needed to join the team five years ago.

NexLP Releases Story Engine 2.11 To Deliver Streamlined Pre-Packaged AI Models

NexLP Releases Story Engine 2.11 To Deliver Streamlined Pre-Packaged AI Models

As a leader in authentic corporate and legal AI, NexLP is consistently striving toward delivering its diverse client base the most cutting-edge AI technology to allow organizations to be much more efficient with their data review processes.

Building from existing institutional IP, NexLP’s Story Engine 2.11 offers predefined, customizable investigative AI models, algorithms, and secure collaboration to allow data to tell its story. Story Engine turns disparate, unstructured data into meaningful insights that can be used to act with a truly comprehensive view of the entire data universe.

What’s Going to Move the Legal AI Tech Needle Forward?

What’s Going to Move the Legal AI Tech Needle Forward?

“To think about how far we’ve come…” I made this comment while speaking on the AI Bootcamp panel at LegalWeek in New York City last month during a discussion that focused on the future of the legal technology industry.

At the conference, I referenced the first LegalWeek show in the early 2000s when processing a gigabyte of data cost roughy $10,000-$15,000. The late ‘90s and early 2000s formed the first phase of eDiscovery we see today. Today, with cutting-edge technology at our fingertips, we’ve entered the next phase that will redefine the future of legal services.

“We’ve just had this exponential growth of data,” I told the crowd of legal tech enthusiasts. “We’re really shifting how we’re having lawyers en masse and investigators en mass label documents. And how we’re looking at email and electronic files and giving some sort of judgement.”

We’re also changing how we learn from past data, and what it means for future cases.