Fortune 500 Energy Company (Tulsa-based)

A Tulsa-based Fortune 500 energy company faced a contract dispute that, while relatively limited in scope, carried an outsized discovery burden: the opposing party had requested voicemail recordings, and the company's in-house legal team identified 14,863 voicemail files — none of which had ever been transcribed. Listening through them at a realistic rate of 25 recordings per hour would consume nearly 600 attorney hours. Outsourcing review to outside firm associates at $300/hour would cost $178,356; even contract reviewers or third-party transcription services would add $25,000–$37,000. For a lean in-house team managing litigation budgets tightly, every available path was financially untenable.

The in-house legal team turned to Logikcull's VoiceTouch feature, which applies Natural Language Processing to automatically transcribe audio and video files — including voicemails, dash cam recordings, and video calls — then indexes the resulting text and makes it fully searchable within Logikcull's existing eDiscovery platform. No separate transcription vendor or workflow was needed; the process ran entirely within the tool the team already used for document review. Once transcribed, attorneys ran keyword searches combined with Logikcull's Culling Intelligence — an AI-driven filtering layer — to surface only recordings potentially responsive to the production request. The platform also allows users to click any word in a transcript and jump directly to that moment in the audio file, accelerating targeted review of flagged items.

The results were immediate and decisive. In under 10 minutes, the legal team reduced their review set from 14,863 recordings down to just 8 — a 99.95% cull rate — eliminating the need for manual audio review entirely on the vast majority of files. Key outcomes:

• $178,000+ in review costs avoided, compared to outside firm associate rates
• 590+ attorney hours saved, freeing the team for higher-value legal work
• Review completed in minutes rather than the weeks a manual process would have required
• No third-party transcription vendor or additional budget required

The 8 remaining recordings represented the full potentially responsive set, allowing the team to proceed directly to targeted review and production.

• AI-powered transcription and culling can compress weeks of A/V review into minutes — the bottleneck is tool selection, not attorney effort.
• Cull before you review: applying keyword search and intelligent filtering before manual review is where the largest cost savings are captured, not during review itself.
• In-house teams managing lean budgets should audit whether their eDiscovery platform handles modern data types (voicemail, video, Slack) natively — gaps here create hidden litigation cost.
• The economics of AI-assisted culling are strongest when file volumes are high but responsive volume is expected to be low, as in targeted contract disputes.