23. 📞 Call-to-Legal Summary

Overview

An audio analytics tool that transcribes recorded calls (customer support, sales negotiations) and generates concise legal summaries highlighting potential liabilities, commitments, and escalation triggers.

Primary Use Cases

• Legal counsel reviewing call logs for compliance issues
• Sales ops ensuring verbal commitments are captured
• Customer support managers identifying calls requiring legal follow-up

Key Features

• Audio upload/streaming with in-browser recorder
• ASR transcription via Whisper with speaker-agnostic timestamps
• Issue extraction: NLP model extracts mentions of obligations, commitments, and risks
• Summary report: bullet points with timecodes and risk tags

Tech Stack

• Frontend: React + TypeScript for recorder UI and summary viewer
• Backend: FastAPI (Python)
• AI Models:
  • Transcription: openai/whisper-large
  • Legal issue extraction: fine-tuned legal-bert for named-entity and relation extraction
• Database: PostgreSQL for storing transcripts and summaries

Architecture

1. Recording/Upload Service captures or receives audio file
2. Transcription Service runs Whisper → produces transcript with timecodes