AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

It has become increasingly clear in 2025 that retrieval augmented generation (RAG) isn't enough to meet the growing data ...

Legal teams now can rapidly uncover and verify key evidence across tens of millions of documents using simple, conversational queries Everlaw plans for Deep Dive to be generally available to customers ...

In the world of litigation, victories are often attributed to sharp arguments, persuasive attorneys, or favorable judges. Yet one of the most overlooked factors that fuels courtroom success is court ...

Major corporations today dedicate millions to data lakes and data warehouses and data fabrics through advanced analytics systems that operate from on-premises and cloud environments. The process of ...

Have you ever struggled to find a document buried deep within your files, even though you know it’s there? Or maybe you’ve wasted precious time trying to determine whether a file is the latest version ...

Abstract: Retrieval augmented generation (RAG) improves the accuracy and dependability of generative AI models by integrating factual information from external databases. This technique is widely used ...