A law firm runs cases with dozens of documents each — many of them scanned PDFs. Lawyers had no way to ask a question and get an answer grounded in the actual filings.
Documents are uploaded per case; OCR extracts the text from scans and PDFs; the content is chunked and embedded into a vector database. Lawyers then query the case in plain language and get answers that cite the exact document and page — nothing invented.
Representative build — real project type and architecture, anonymised client, illustrative figures.
I'll map your problem to an architecture like this — and prove it with an MVP before you pay.
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