Learning Center

Getting the most out of semantic search and Deep Research Agents

Jeff Roy Jeff Roy

Building a claims chart with FluidityIQ

Claims charting has traditionally been a time-intensive manual process, requiring practitioners to work through claim language line by line against a set of references. FluidityIQ compresses that workflow significantly. By combining a semantically ranked corpus with a research agent that understands natural language instructions, you can move from a search strategy to a structured, sourced claims analysis in a single session. Whether you are conducting a freedom-to-operate review, building an infringement narrative, or mapping a competitive landscape, the output is the same: a clear, organized record of where claim elements find support in the prior art and where they do not. The ability to anchor the analysis to either user-defined features or the specific language of an existing claim gives practitioners the flexibility to tailor the chart to the task at hand, without rebuilding the workflow from scratch each time.

Read More