Key Takeaways
- White-label from capture to export: fully branded links, recorder, and libraries embedded in the client’s app.
- API + webhooks: automated scheduling, joining, processing, and handoff into the client’s legal workflow.
- Speaker identification & timestamps: clean, structured output ready for downstream review and compliance checks.
- Minutes, not hours: rough transcripts and synchronized media available in near real time.
- Partnered build: solution design, testing environments, and iterative refinements to match legal requirements.
Overview
A fast-growing legal technology company needed to capture Zoom-based depositions and other testimony at scale, then deliver clean, speaker-labeled transcripts with timestamps—fully white-labeled inside their own platform. Building the end-to-end media pipeline (recording, transcription, enrichment, secure storage, export, admin tooling) would have required a dedicated team, significant cloud spend, and months of engineering.
By partnering with Speak AI, the team launched a branded capture-to-analysis flow with APIs and webhooks that automate scheduling, join sessions, sync media, and return structured outputs that slot straight into legal review. They reached market faster, avoided heavy infrastructure lift, and now process thousands of hours of testimony with consistent quality and predictable costs.
The Challenge
- Speed & reliability: same-day rough transcripts and synced video without building a full media stack.
- White-label first: every touchpoint (links, recorder, dashboards) must reflect the client’s brand.
- Structured outputs: accurate speaker diarization, timestamps, and formatting suitable for legal workflows.
- Automation: schedule links in advance, auto-join sessions, and deliver results via webhooks.
- Focus: keep internal teams focused on core deposition features and human review—avoid reinventing commodity infrastructure.
Solution
Speak AI provided the white-label capture layer, transcription and synchronization pipeline, and a robust developer surface (REST API + webhooks) designed for high-volume legal use cases.
- Branded capture & links: schedule in advance, auto-join depositions, record in the background, and route artifacts to the right matter.
- Near real-time transcripts: rough text + timecodes available in minutes, not hours; synced media ready for rapid review.
- Speaker identification: diarized transcripts with consistent formatting for export into downstream tools.
- Webhooks & automation: job lifecycle events (ingest, process, complete) notify the client’s system to trigger next steps.
- White-labeled libraries: optional branded viewing for internal or client-facing teams, with fine-grained access controls.
Results
| Metric | Before | After (with Speak AI) | Improvement |
|---|---|---|---|
| Time to rough transcript | Hours | Minutes | Same-day reviewable text |
| Speaker-labeled, time-coded output | Manual formatting | Automated & consistent | Less admin, fewer errors |
| Engineering lift to build stack | Full media + AI pipeline in-house | API + webhooks integration | 8 months faster launch |
| Development cost | Custom build + DevOps | Usage-based platform | $100K+ avoided |
| Operational scale | Limited by manual steps | Automated ingestion to export | 4,500+ hours processed |
Methodology note: Development savings reflect typical costs and timelines for capture, transcription, synchronization, storage, export, and admin tooling. Transcript turnaround improvements are based on observed system behavior, delivering rough text and timecodes in minutes for same-day review. Operational volume is derived from aggregated usage hours.
What Made the Difference
- End-to-end white-label: links, capture, libraries, and exports carry the client’s brand.
- Schedule & auto-join: set links in advance, auto-join sessions, record, and route jobs.
- Consistent structured output: diarized speakers, timecodes, and formatting ready for legal review.
- Webhook-driven automation: granular lifecycle events to trigger downstream tasks and filings.
- Scales with demand: spike-friendly processing without the client owning the infrastructure.
Partner, Not Just a Tool
Beyond the API, Speak AI collaborated on solution design, provided staging environments, and iterated on features to match deposition workflows. The client kept humans in the loop for final legal deliverables, while offloading the heavy lifting of media handling, transcript generation, and synchronization.
Next Step
Want a white-label capture-to-transcript flow without an eight-month build? Book a 30-minute walkthrough or create a free Speak AI account.
