Legal Intelligence Firm Processes 5,100+ Hours and Saves $700K+ with Speak AI

A leading legal intelligence and investigations firm modernized high volume call transcription and evidence preparation with Speak AI. By centralizing uploads, automating transcripts, and using folder level AI chat for pattern finding and summaries, the team processed 5,100+ recorded hours while saving nearly 40,000 hours of manual effort and more than $700K in costs. Secure, encrypted storage and role based permissions keep case data protected, and structured exports to DOCX and CSV accelerate client deliverables. The result is faster turnaround, higher consistency, and more time for high value legal work.

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Transcription Accuracy
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High volume call transcription and analysis • nearly 40,000 hours saved • $700K+ estimated savings

Overview

A U.S. based legal intelligence and investigations firm adopted Speak AI to automate transcription and analysis of high stakes phone calls and client communications.

The organization supports plaintiff side legal teams with rapid research and documentation. Accuracy, speed, and confidentiality are essential to case outcomes and client trust.

By centralizing ingestion, accelerating transcription, and standardizing downstream analysis, the firm turned a manual bottleneck into a scalable, auditable workflow that improves turnaround and quality control.

The Challenge

The team handled thousands of calls each month across multiple carriers and formats. Staff spent hours per recording on transcription, redaction, labeling, and summary preparation before any substantive review could begin.

Heavy manual effort created backlogs, inconsistent formatting, and review fatigue. Time sensitive cases risked delays and missed details. Leaders needed a secure, repeatable system that would scale with demand without sacrificing accuracy.

Governance was non negotiable. The firm required strict access controls, encrypted storage, and audit friendly exports to align with legal workflows and client policies.

Solution and Workflow

Speak AI replaced fragmented tools with one secure environment for capture, transcription, and analysis at scale.

  • Bulk media ingestion to handle continuous call uploads across providers with automatic routing to the right matters and teams.
  • AI transcription and fast editing to convert hours of calls into accurate, searchable text in minutes with speaker labeling and timestamps.
  • Quality control workflows using notes and review queues to standardize outputs across analysts and engagements.
  • Folder level AI chat to surface patterns, extract facts, and quickly assemble evidence backed summaries across many recordings.
  • Structured exports to CSV and DOCX for downstream legal templates, filing packets, and client reporting.

This end to end workflow reduced repetitive tasks, improved consistency, and freed analysts to focus on higher value legal work.

Results

Metric Before Speak AI After Speak AI Improvement
Processing time per recording Hours of manual transcription and formatting Minutes with automated transcripts and standardized outputs About 95 percent faster
Total recorded hours analyzed Ad hoc, manual review Over 5,100 hours processed to date Consistent coverage across thousands of files
Time saved Manual baseline at 8.0 hours per recorded hour Reduced to 0.3 hours per recorded hour Nearly 40,000 hours saved
Estimated cost savings Labor heavy workflow $700K+ saved to date Value compounds as volume grows

Methodology note: Recorded hours combine all analyzed media to date, primarily call audio. Savings are modeled using an 8.0 hour manual baseline per recorded hour versus 0.3 hours of AI assisted oversight. The model values savings at $137 per recorded hour. Figures are rounded to protect confidentiality and represent conservative estimates.

Security and Governance

Data is encrypted in transit and at rest. Client recordings and transcripts are never used for external model training.

Role based access controls, audit logs, and project level permissions support legal workflows and internal QA.

Shareable libraries can be restricted and tracked when case stakeholders require read only access.

Usage Snapshot

Over 5,100 recorded hours processed across tens of thousands of files with standardized analyst review.

Selective use of the AI Meeting Assistant for live sessions alongside continuous bulk uploads.

Team members leverage notes, QC checks, and folder level AI chat to assemble evidence and finalize client deliverables faster.

Industry Context and Keywords

legal operations, investigations, call transcription, evidence preparation, litigation support, insurance policy research, compliance, case intake, audio to text, qualitative analysis, redaction workflow, legal documentation, discovery acceleration

Take the Next Step

Ready to scale transcription and analysis for your legal or investigations team? Book a 15 minute walkthrough, create a free Speak AI account, or estimate your ROI with our interactive calculator.

Disclaimer: This case study is anonymized and based on aggregated usage metadata, support interactions, and configuration patterns. No transcripts, file names, or sensitive client details were accessed.

ROI calculations follow standardized modeling and may vary by organization and labor rates.

Capture. Transcribe. Analyze. Share.

Join 250,000+ incredible people and teams saving 80% and more of their time and money. Rated 4.9 on G2 with the best AI video-to-text converter and AI audio-to-text converter, AI translation and analysis support for 100+ languages and dozens of file formats across audio, video and text.

Start your 7-day trial with 30 minutes of free transcription & AI analysis!

Trusted by 250,000+ incredible people and teams

More Affordable
1 %+
Transcription Accuracy
1 %+
Time Savings
1 %+
Supported Languages
1 +
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