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How a Legal Tech Company Saved 8 Months and $100K+ Building a White-Label Deposition Platform

Case Study — Legal

How a legal tech company saved 8 months and $100K+ building a white-label deposition platform

A fast-growing legal technology company partnered with Speak AI to launch a fully branded capture-to-analysis flow for Zoom-based depositions. Instead of building an end-to-end media pipeline in-house, they integrated Speak AI’s APIs and webhooks to deliver clean, speaker-labeled transcripts with timestamps — reaching market 8 months faster.

$100K+ saved | 8 months faster | 4,500+ hours processed
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$100K+
Development savings
8 mo.
Faster time to market
4,500+
Hours of testimony processed
Minutes
To rough transcript

The challenge

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 would have required a dedicated team, significant cloud spend, and months of engineering.

  • Speed and reliability: Same-day rough transcripts and synced video were essential, but building a full media stack in-house was impractical on their timeline.
  • White-label first: Every touchpoint — links, recorder, dashboards — had to reflect the client’s brand, not a third-party tool.
  • Structured outputs: Accurate speaker diarization, timestamps, and formatting suitable for legal workflows were non-negotiable.
  • Automation: The system needed to schedule links in advance, auto-join sessions, and deliver results via webhooks without manual intervention.

The solution

Speak AI provided the white-label capture layer, transcription and synchronization pipeline, and a robust developer surface designed for high-volume legal use cases.

Branded capture and scheduling

Schedule links in advance, auto-join depositions, record in the background, and route artifacts to the right matter. Every touchpoint carries the client’s brand.

Near real-time transcripts

Rough text plus timecodes available in minutes, not hours. Synced media ready for rapid review. Same-day reviewable text for every deposition session.

Speaker identification and structured output

Diarized transcripts with consistent formatting for export into downstream legal tools. Clean, structured output ready for compliance checks and review workflows.

Webhooks and API automation

Granular lifecycle events (ingest, process, complete) notify the client’s system to trigger next steps. Optional branded viewing libraries with fine-grained access controls.

See how Speak AI can work for your team

Whether you need a white-label capture-to-transcript flow, API-driven automation, or speaker-labeled outputs for legal review, our team can help you design a solution that fits.

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Try Speak AI Free

Results: before and after Speak AI

The company avoided an 8-month in-house build and launched a production-grade deposition platform using Speak AI’s APIs and white-label infrastructure. Here is what changed.

Workflow areaBeforeAfterImpact
Time to rough transcriptHoursMinutesSame-day reviewable text
Speaker-labeled, time-coded outputManual formattingAutomated and consistentLess admin, fewer errors
Engineering lift to build stackFull media + AI pipeline in-houseAPI + webhooks integration8 months faster launch
Development costCustom build + DevOpsUsage-based platform$100K+ avoided
Operational scaleLimited by manual stepsAutomated ingestion to export4,500+ hours processed
Methodology: 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.

Key takeaways

  • ✓

    White-label from capture to export: Fully branded links, recorder, and libraries embedded in the client’s app. Every touchpoint reflects their brand, not a third-party tool.

  • ✓

    API + webhooks automation: Automated scheduling, joining, processing, and handoff into the client’s legal workflow. Granular lifecycle events trigger downstream tasks automatically.

  • ✓

    Speaker identification and timestamps: Clean, structured output ready for downstream review and compliance checks. Consistent formatting suitable for legal workflows.

  • ✓

    Minutes, not hours: Rough transcripts and synchronized media available in near real time, enabling same-day review of depositions and testimony.

  • ✓

    Partnered build: Speak AI collaborated on solution design, provided staging environments, and iterated on features to match legal requirements. Humans stayed in the loop for final legal deliverables.

More customer stories


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Global Research Agency Saves $100K+ Building a White-Label Platform

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983 hours saved



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Leading E-Commerce Manufacturer Saves $185K and 3,700+ Hours

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U.S. Healthcare Insurance Agency Saves 1,400+ Hours and $18K

1,400+ hours saved
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Ready for a white-label capture-to-transcript flow without the build?

Whether you need white-label recording, automated transcription with speaker diarization, or API-driven automation for legal workflows, Speak AI can help you get there. Book a demo or start exploring the platform today.

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Create a free account and start a 7-day trial. Test automated transcription, explore APIs and webhooks, and see how Speak AI fits your platform before committing.

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Talk to our team about your use case. We will walk through how white-label capture, transcription APIs, and webhook automation can work for your specific legal workflow. No generic pitch.

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White-Label Platform
Integrations
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Pricing

This case study is anonymized and based on usage metadata, support interactions, and integration notes. No transcripts, file names, or sensitive client materials were accessed. Development savings reflect typical costs and timelines for equivalent infrastructure. Actual results vary by scope and team.

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