Auto-Transcribe Depositions → AI Summary → Evidence Database
Automatically transcribe legal depositions, generate AI summaries of key points, and organize evidence in a searchable database for legal teams.
Workflow Steps
Otter.ai
Auto-transcribe deposition recordings
Upload deposition audio/video files to Otter.ai for automatic transcription with speaker identification and timestamps. Enable legal vocabulary for improved accuracy.
ChatGPT
Generate structured case summaries
Use ChatGPT with a legal prompt template to analyze the transcript and extract key testimony points, contradictions, admissions, and potential evidence. Format as structured bullet points.
Zapier
Connect transcription to database
Set up a Zapier workflow that triggers when Otter.ai completes a transcription, automatically sends it to ChatGPT for analysis, then formats the output for database entry.
Notion
Build searchable evidence database
Create a Notion database with properties for case number, witness name, date, key points, and evidence tags. Auto-populate entries from Zapier with searchable tags and cross-references.
Workflow Flow
Step 1
Otter.ai
Auto-transcribe deposition recordings
Step 2
ChatGPT
Generate structured case summaries
Step 3
Zapier
Connect transcription to database
Step 4
Notion
Build searchable evidence database
Why This Works
Combines accurate legal transcription with AI analysis and structured data storage, turning hours of manual review into automated insights that legal teams can quickly search and reference.
Best For
Law firms managing multiple depositions and need organized, searchable case evidence
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