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DraftTheRecord AI

DraftTheRecord AI provides court reporting transcription technology with AI-powered editing tools. Its platform reduces transcript editing time by more than half through features like advanced speaker diarization that distinguishes between similar voices, automated court-specific formatting for Q&A and examinations, and improved word accuracy including uncommon names and quiet audio.

Traction –/10
HQ unknown
10+ followers
  • Legal Technology
  • Artificial Intelligence
  • Software Only
Updated 23 days ago

Funding

Raised to date

$500KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Court reporters spend hours editing raw transcripts, with an hour of audio typically requiring 2-3 hours of manual editing. Existing AI transcription solutions fall short of court reporting standards, producing errors in speaker identification, formatting, and word accuracy.

Solution

DraftTheRecord AI delivers a specialized transcription platform built specifically for court reporting. The system uses advanced AI to automate formatting for legal proceedings, correctly identify multiple speakers even when they have similar voices, and accurately transcribe challenging audio including quiet passages and uncommon names. By handling these court-reporting-specific tasks automatically, the platform cuts typical transcript editing time to one hour or less per hour of audio. Reporters can compare transcripts side-by-side with previous solutions to verify quality improvements.

Target Audience

Professional court reporters, court reporting agencies, and legal transcription services that need accurate, formatted transcripts from court hearings, depositions, and other legal proceedings.

Features

  • Speaker diarization that differentiates between multiple speakers of the same gender with similar voices, reducing speaker identification errors by 84% against previous state-of-the-art
  • Automated court-specific formatting including parenthetical notations for witness swearing-in ceremonies, Q&A formatting during examinations, and marking of direct and cross-examination transitions
  • Word accuracy with 27% lower error rate than previous state-of-the-art, including correct spelling of uncommon names and transcription of quiet audio
  • Automatic insertion of (inaudible) notations where audio is difficult to hear
  • Automatic switching to colloquial formatting during examination interruptions
  • Side-by-side comparison tool against previous transcription solutions using real court hearing audio samples
This profile is AI-generated and may contain inaccuracies.