Manual document processing continues to create gaps in accuracy and consistency. Systems extract text but fail to understand meaning, which leads to incorrect data mapping, repeated validation, and delays in downstream workflows. This issue becomes more visible in complex documents where layout, wording, and relationships define meaning. Contextual AI addresses this by interpreting documents based on structure, language, and intent rather than isolated text. It connects data points across a document and across systems. This article explains how contextual AI works, the types of context it uses, the technologies behind it, and how it improves document interpretation across enterprise workflows. What Is Contextual AI in Document Interpretation? Contextual AI refers to systems that interpret documents by understanding relationships between text, layout, and meaning rather than extracting isolated data points.…