From cases involving car crashes to employee termination disputes, there are countless reasons for legal professionals to require access to a client’s medical, employment, financial, and other records ...

My basic problem is simple: thousands of word processor and applications generated documents being created each day, a legal requirement that at least some of these be kept accessible for sixty years, ...

As we step into 2025, the healthcare industry continues to integrate generative AI (GenAI) into clinical workflows, with document retrieval emerging as one of its most impactful applications.

Instructed Retriever leverages contextual memory for system-level specifications while using retrieval to access the broader ...

Legal, insurance, and claim management sectors are often criticized for holding tight to outdated processes. A notable area where this persists is with record retrieval. Law firms, in particular, ...

What happens when your AI-powered retrieval system gives you incomplete or irrelevant answers? Imagine searching a compliance document for a specific regulation, only to receive fragmented or ...

Data retrieval goes well beyond the scope of email and database systems to embrace all types of records. While databases contain structured data and email works with semistructured data, general data ...

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 ...

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The ability to search for documents by keywords and other attributes such as date and author. It implies that the documents have been indexed on all pertinent fields and that keywords have been chosen ...