From the firm's own write-upReceipt no. 8418
What sucked
The publisher's historical content collection was searchable only by manual keyword lookup, making relevant material slow to find and easy to miss.
What they built
Mathison AI built a natural-language query system over the archive so users can ask questions in plain language and get contextually relevant results, retrieval by meaning rather than exact keyword match.
What changed
NL search
Plain-language querying over the archive
Contextual
Meaning-based retrieval replaces keyword guessing
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