What is Kolabrya?

Kolabrya AI is a platform that converts unstructured records, documents, and audio into structured insights for workplace investigators, personal injury attorneys, insurance professionals, arbitrators, and medical centers. It offers real‑time transcription with multi‑speaker detection, OCR and table extraction for scanned PDFs, and AI‑driven cross‑reference to flag inconsistencies across witness statements and legal filings.

For personal injury teams, it extracts medical facts, builds case narratives, and produces source‑traced medical‑legal reports aligned with Ontario SABS thresholds. Insurance law users can transform complex claim files into structured summaries and actionable insights through AI cross‑referencing.

Arbitration practitioners can record proceedings, transcribe them in real time, and detect inconsistencies with patent‑pending AI. Independent medical exam teams receive AI‑assisted summarization of IME reports and supporting documentation. Medical centers can generate IME reports, process patient records, and collaborate with legal parties via the platform.

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Kolabrya's key features

  • Detect contradictions across witness statements
  • Transcribe interviews with multi-speaker detection
  • Generate structured, source-referenced reports
  • Map witness-allegation-evidence relationships
  • Color-coded editable audio transcriptions
  • Share files with permissions, audit logs

Kolabrya use cases

  • Transcribe courtroom testimony in real‑time with multi‑speaker detection, automatically flagging inconsistencies for attorneys and investigators
  • Generate medical‑legal reports by extracting OCR tables from patient records, cross‑referencing data, and summarizing key findings for medical teams
  • Speed up insurance claim processing by transcribing claimant interviews, extracting essential data points, and auto‑generating claim summaries for claim adjusters

Who is it for?

  • Legal practitioners
  • Investigators
  • Technology developers
  • Data security analysts
  • Virtual meeting attendees

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