Why Patent Search Is Moving Beyond Keywords
Boolean search has long been the foundation of patent research. Its strength lies in structure, control, and transparency. But today’s innovation landscape has outgrown it. Patent volumes are massive; technologies intersect across domains, and terminology changes faster than search strings can keep up. Keyword-based searching assumes you already know how an invention will be described. Relevant patents are often buried behind alternate wording, new jargon, or unfamiliar phrasing. Even well-constructed Boolean queries struggle to balance precision and recall at scale. AI Search takes a fundamentally different approach. Instead of matching exact terms, it analyzes context and intent. By understanding how concepts relate, AI can surface patents that are relevant in meaning, even when the language differs. Results are ranked by conceptual relevance, not just keyword overlap. This shift delivers practical benefits: faster discovery, broader...