Story Engine 2.21 Release: Custom Entities Uncover Signals, Risks & Relationships Within Data

Story Engine 2.21 Release: Custom Entities Uncover Signals, Risks & Relationships Within Data

Today’s legal and corporate compliance and risk managers require technology that can mine data faster and more effectively than manual review can achieve.  In the latest release of NexLP’s Cognitive AI platform, Story Engine, users can get the most out of their data with the ability to create custom entity types, as well as enhance entities already built within the platform.

This groundbreaking capability empowers NexLP customers to teach the platform new terms that are specific to a corporation or legal matter and seamlessly activate it with any AI Model through the AI Model Library without any code or technical knowledge.

8 Takeaways From ILTACON

8 Takeaways From ILTACON

Five days, and thousands of legal technology experts in one venue has the power to generate a lot of impactful conversations. Our team certainly got that vibe on the showroom floor, and during our educational presentation by our SVP Damon Goduto on why firms are struggling to adopt AI technology — even when they know they must adapt to the future of where the market is headed. To keep the conversation going, we’d love to share the 10 key takeaways our team gathered at the conference.

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.