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Find the Signal in the Noise with Audio-Visual Transcription in RelativityOne

Kazu Shigenobu
Find the Signal in the Noise with Audio-Visual Transcription in RelativityOne Icon - Relativity Blog

You just received 300 hours of call recordings—and only have a few days to find the key evidence.

That’s the new reality for modern legal teams: too much audio and video (A/V) data to review, not enough time to do it right.

The Rise of Audio and Video Evidence

A/V content is no longer a niche data type. It's everywhere: voicemails, Zoom meetings, social media clips, surveillance footage, 911 calls, police bodycams, customer service recordings. These formats show up in nearly every legal data intelligence project—from civil litigation to internal investigations to regulatory compliance.

And they’re growing fast. As remote work, virtual meetings, and surveillance technology become the norm, the amount of A/V evidence continues to skyrocket. Legal teams need fast, reliable ways to review this data without disrupting their workflows.

Reviewing A/V files has traditionally meant scrubbing through hours of footage at 2x speed, jotting down timestamps in a spreadsheet, and flipping between multiple platforms. No fast way to search. No way to leave notes in context. No visibility into who said what, when, without sitting to watch or listen to every moment.

When review is manual, it’s easy to miss things. Sometimes key facts get buried, workarounds introduce errors, and switching tools creates security gaps. And in legal matters, any of those missteps can set you back—or even make or break the outcomes of your case. Teams often mitigate that risk by rewatching footage multiple times just to confirm a quote or identify a speaker. Collaboration is slow when reviewers can’t share notes or build on each other’s work.

At each of these hurdles, progress stalls while unforgiving deadlines loom.

A Smarter Way to Review A/V Files

When the days are short and the media files are long, efficiency matters. Legal teams can’t afford to spend hours scrubbing through footage or juggling disconnected tools just to find a few small snippets of evidence.

We’re excited to share that AV Transcription in RelativityOne is now available. It’s built to help you keep pace—turning hours of footage into searchable, review-ready text that lives right inside your workspace. Our goal was to give you speed, precision, and security in a single, simple A/V review workflow.

With the ability to transcribe files in bulk across a wide variety of languages and dialects, you can move quickly through multilingual evidence, making it easier to manage cross-border matters, international investigations, and global compliance reviews. Whether it’s French customer service calls, German investor meetings, or Japanese board meeting recordings, AV Transcription helps your team move fast without relying on third-party vendors.

Transcripts are time-synced to the original media, so you can jump to precise moments in the audio or video with a single click. This gives reviewers more context and control—no guesswork, no rewinding, and no switching windows to track timestamps manually.

Looking for a specific phrase? Just search for a keyword to pinpoint where it appears in the transcript—and jump straight into the media at that moment. It’s a faster, more targeted way to find what matters.

Collaboration is built in. You can drop comments directly into the transcript to flag issues, call out suspicious behavior, or assign follow-ups to your team. Everyone sees the same file, with the same comments, in the same place, keeping teams aligned and accelerating review processes.

And because AV Transcription runs natively in RelativityOne, you can skip the back-and-forth with external tools and get straight to review; there’s no need to upload files, wait on response times, or manually stitch transcripts into your workflow.

This means your data stays within your secure RelativityOne environment, your team stays focused, and your review process is centralized from ingestion to production.

With AV Transcription, you can:

  • Review audio and video data alongside all your other evidence
  • Transcribe and search across large volumes of files in global languages and dialects
  • Search and jump to key moments in seconds
  • Comment on transcript text in real time to facilitate collaboration
  • Keep everything secure and centralized in RelativityOne

This isn’t just a time-saver; it’s how modern legal teams reduce risk, stay aligned, and unlock insight from audio and video evidence without slowing down the rest of the case.

A/V Transcrption in RelativityOne

Built with Real-World Review in Mind

RelativityOne’s AV Transcription capabilities weren’t built in a vacuum. We worked closely with legal teams—including reviewers, attorneys, and litigation support professionals—to understand how they actually interact with A/V evidence. Their input was essential in creating a workflow that fits into how teams already use RelativityOne: seamlessly, securely, and at scale.

Whether you're reviewing call center recordings in a class action case, analyzing multilingual client calls in a global investigation, or combing through police bodycam footage in a civil rights matter, AV Transcription supports the way modern teams operate, so you can work faster and with more confidence.

You don’t need to learn a new tool or change how your team works. The interface mirrors how you already review documents—just with time-synced transcripts layered on top of audio and video. It’s intuitive for first-time users and built to handle high-volume, high-stakes reviews with ease.

See It in Action

The volume of A/V data continues to accelerate—but your team doesn’t have to fall behind. With AV Transcription in RelativityOne, you can turn hours of footage into actionable insight in minutes.

Ready to see how it works? Reach out to your CSM or schedule a demo today.

Graphics for this article were created by Sarah Vachlon.

Schedule a Demo of RelativityOne

Kazu Shigenobu is a product marketing specialist at Relativity, leading go-to-market strategy and execution for the company’s modern data solutions.

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