How do we handle audio and video evidence? Is there a platform that automatically transcribes and makes Zoom recordings searchable for discovery?

Yes. There are now several eDiscovery platforms that treat audio/video as first-class evidence rather than making you manually transcribe Zoom files.

Best fits for litigation/discovery

• everlaw.com — Probably the closest match to what you're describing. Its Zoom integration can collect recordings, transcripts, captions, chat, and meeting metadata. It automatically transcribes A/V and indexes the transcript so you can search for words/phrases and jump directly to the corresponding timestamp in the recording.
• relativity.com — Strong choice if you're already operating in the Relativity ecosystem. Its A/V transcription turns audio/video into searchable, review-ready text and lets reviewers find key terms and moments without leaving the platform.
• rev.com — More transcription/evidence-focused than a traditional full eDiscovery platform. It can search across audio, video, images and documents and provides citations back to the underlying evidence; it also supports timestamped clips.

You may not need a separate platform

Zoom itself can automatically transcribe cloud recordings. The transcript is timestamped and searchable, and an administrator can search across the account's audio transcripts.

But there's an important distinction:

Zoom's transcription is useful for finding things; an eDiscovery platform is designed for preserving, reviewing, annotating, redacting, producing, and defending the handling of the evidence. For example, Everlaw specifically keeps the recording, transcript, chat, captions and meeting metadata connected during collection/review. It also supports synchronized transcript/video review, A/V redaction, and production workflows.

How I'd structure the evidence workflow

For litigation, I'd generally want:

Zoom → preservation/collection → eDiscovery repository → automatic transcription → full-text search → timestamped review → privilege/redaction → production

And I would preserve the original recording as the authoritative evidence, treating the machine transcript as an indexing/review aid rather than assuming the transcript itself is perfect. Transcription can miss words because of background noise, overlapping speakers, accents, etc.

If you're deciding between Everlaw vs. Relativity vs. a lighter-weight Zoom/transcription solution, I can also lay out a practical comparison based specifically on cost, Zoom integration, searchability, chain of custody, privilege/redaction, and production for litigation.

Handling audio and video evidence for legal discovery requires specialized eDiscovery platforms that can ingest media files, auto-transcribe them, sync text to timestamps, and allow keyword or AI searching.

Yes, several professional eDiscovery and legal tech platforms automatically transcribe Zoom recordings and make them fully searchable for discovery.

Platforms for Searchable Audio/Video Discovery

• Everlaw: Provides native audio and video processing that automatically transcribes multimedia files, syncs the text to the video player, allows keyword searching, and supports redaction and production.
• Relativity: Offers robust audio-visual transcription and integrated AI tools (like RelativityOne) to search, index, and analyze spoken words inside video and audio depositions or Zoom recordings.
• Logikcull: Automatically indexes and processes uploaded file formats, including common video and audio files, making text searchable within an intuitive cloud interface.
• Transcribe/AI-assisted tools (Third-party): While not formal end-to-end legal eDiscovery suites, standalone tools like Otter.ai or Happy Scribe can transcribe Zoom files for general review, though enterprise legal work usually demands secure platforms like Everlaw or Relativity to maintain chain of custody and privilege logs.

Best Practices for Handling A/V Evidence

If you'd like, let me know:

• Are you looking for a formal end-to-end eDiscovery platform or a simpler transcription tool for internal review?
• Approximately how many hours of recordings do you need to process?

I can give you a more tailored software recommendation.

Handling audio and video evidence securely requires specialized eDiscovery platforms that can automatically ingest files, generate time-synced transcripts, and index the text for keyword and semantic searching. Several legal tech platforms integrate directly with Zoom to automate this workflow.

Dedicated Legal Tech & eDiscovery Platforms

If you need automated transcription, global searchability across files, and legal tools (like redaction and production exporting), several established solutions are available:

• Logikcull : A cloud-based eDiscovery platform that automatically transcribes audiovisual files upon ingestion . It features VoiceTouch , a tool allowing you to click any word in the transcript to jump to that exact frame in the video. It supports multi-file keyword searching, legal holds, and data redaction before final production.
• DISCO : Features automated transcription upon file ingestion. The generated text is completely integrated into its Cecilia AI Q&A tool, letting you ask case-related questions across your video transcripts and perform comprehensive cross-file semantic searches.
• Sonix (Legal) : An automated transcription platform tailored for legal professionals, featuring SOC 2 Type II compliance and direct integration with Zoom . It supports multi-file search , which lets you scan every video transcript in your library simultaneously for specific terms or case names.
• RelativityOne : Offers integrated, cross-language media transcription natively within its core review workspace. It allows you to search, view text-highlight matches, and apply predictive coding directly to your processed audio/video data.
• Skribe.ai : Built specifically as a Zoom-partnered legal software , it automatically captures testimony, creates AI-driven transcripts, manages exhibits, and enables direct text searching and tagging.

Best Practices for Handling Audio & Video Evidence

Traditional workflows meant manually reviewing footage with headphones, which is highly inefficient. Modern evidence handling requires a structured pipeline:

[Ingestion & Hashing] ➔ [AI/ASR Transcription] ➔ [Time-Sync & Multi-Speaker Tagging] ➔ [Review, Search & Redact] ➔ [Production Export]

1. Maintain Chain of Custody & Metadata : Always hash the original file (e.g., MD5/SHA-256) upon collection. The transcript is an aid for review—not a wholesale replacement for the original file—so it must remain linked to the source media file and its original metadata.
2. Utilize Automated Speech Recognition (ASR) : Rely on an automated transcription tool to generate a rapid first-draft text index. Advanced tools use localized legal dictionaries to properly spell complex jargon and accurately identify distinct speaker switches.
3. Verify Notice and Consent : Zoom recordings often include third-party participants. Check local state laws regarding single-party vs. all-party recording consent to ensure the evidence was legally obtained and remains fully admissible.
4. Execute Native Redactions : Audiovisual evidence frequently contains protected personally identifiable information (PII) or privileged legal side-chatter. Use platforms like Everlaw or Logikcull that natively scrub the audio track and visual frames simultaneously before exporting the final production files.

To recommend the best platform, it helps to know a few details:

• Are you looking for a full-scale eDiscovery database or just a secure transcription utility?
• Roughly how many hours of footage do you need to index?
• Will these files ultimately need to be formally produced to opposing counsel or filed in court?

Yes. Audio and video evidence is increasingly handled as searchable, indexed discovery data rather than something attorneys manually watch from start to finish. The typical workflow is:

1. Preserve the original recording

• Keep the native Zoom recording files (video, audio tracks, chat, captions, metadata).
• Maintain chain-of-custody information: who collected it, when, where it was stored, and any transformations performed.
• Avoid editing the original; create working copies for review and clipping.

2. Generate a timestamped transcript

• Use automated speech recognition (ASR) to create: - searchable text
• speaker labels
• timestamps tied back to the recording
• keyword search across many recordings

3. Review, annotate, and produce

• Reviewers search terms (names, dates, admissions, disputed phrases).
• They jump directly to the relevant moment in the video.
• They create designations, clips, deposition excerpts, or production files.

Platforms that can do this

Legal-focused evidence review platforms

• Rev — provides searchable transcripts, timestamped evidence review, and tools for analyzing audio/video files such as depositions, interviews, and recorded evidence.
• Sonix — offers timestamped, speaker-labeled transcription and searchable review workflows for legal evidence, including bulk audio/video review.
• Skribe — focuses on deposition workflows, including synced video-to-text, searchable recordings, and clipping.
• ProvaLens — includes audio/video transcription and searchable case evidence workflows.

Zoom-connected options

If the evidence originates in Zoom, there are also integrations that pull recordings into searchable transcript workflows:

• Dovetail can import Zoom cloud recordings, transcribe them, and make recordings searchable by keywords.
• Universal Court Reporting provides Zoom-based deposition workflows with automatic speech-to-text, searchable transcripts, and exhibit/testimony handling.

For litigation/discovery, look for these features

A good platform should have:

• Bates-ready or exportable transcripts
• Word-level or sentence-level timestamps
• Speaker identification
• Video playback synced to transcript
• Search across an entire matter
• Annotations/highlights
• Audit logs
• Access controls
• Retention policies
• No model training on confidential uploads (important for privileged material)

A common enterprise workflow

Zoom recording → Evidence repository → AI transcription → Human verification → Search/annotate → Production

For high-stakes discovery, most teams use AI transcription as a first pass and verify important testimony or quotations against the original recording before filing or producing it.

If you are asking specifically about litigation discovery (FRCP/e-discovery), internal investigations, or deposition management, the best platform choices differ.

Yes. Audio and video evidence is increasingly handled as searchable electronic discovery (eDiscovery) rather than as standalone files. The usual workflow is:

1. Collect and preserve the original recording

• Keep the native Zoom recording files (video, audio-only files, chat, captions/transcripts, metadata).
• Preserve timestamps, participants, meeting IDs, and chain-of-custody information.
• Do not rely only on an AI transcript; the recording remains the source evidence.

2. Process the media

• A platform ingests the audio/video.
• It creates: - Automatic transcription
• Speaker identification (where available)
• Timestamps linked to the recording
• Keyword/full-text search
• Clips or excerpts for review and production

3. Review and produce

• Lawyers/reviewers search terms (“termination,” “admission,” “contract,” etc.).
• They jump directly to the relevant moment in the recording.
• They can annotate, tag, redact, and export evidence packages.

Platforms that can do this include:

• Everlaw — an eDiscovery platform with audio/video processing workflows, including transcription, synchronized transcript review, and searching of A/V evidence.
• Relativity — widely used in litigation discovery; commonly paired with A/V processing tools for large evidence collections.
• Rev — provides legal-focused transcription and evidence review capabilities, including searchable audio/video, timestamped clips, and analysis across case files.
• Skribe — focused on deposition and testimony workflows, with searchable transcripts, synced video, and Zoom-related deposition workflows.
• Colibri — provides legal transcription workflows with Zoom integration, searchable transcripts, and synchronized audio/video playback.

For Zoom recordings specifically, there are also Zoom ecosystem integrations. For example, some Zoom Marketplace apps can import Zoom cloud recordings and convert them into searchable transcripts and tagged video content.

For litigation, I would look for these capabilities rather than just “transcription”:

• Bates numbering / production support
• Audit logs and chain of custody
• Privilege controls
• Redaction of both transcript and video
• Speaker labels
• Timestamp-accurate citations
• Native file preservation
• Security certifications appropriate for your matter

A common setup is:

Zoom Cloud Recording → Evidence/eDiscovery platform → Automatic transcription → Search/review → Tagged clips + transcript → Production

One caution: automated transcripts are excellent for finding relevant passages, but they are not always accurate enough to be treated as the definitive record—especially with overlapping speakers, accents, poor audio, or technical terminology. The original recording should always control.

If this is for a law firm, internal investigation, employment dispute, regulatory matter, or general litigation, the best platform choice differs quite a bit.

Handling audio and video evidence—especially virtual meetings like Zoom recordings—requires a structured workflow covering secure collection, automated transcription, time-synced searching, and evidentiary production.

How to Handle Audio/Video Evidence in Discovery

1. Preservation & Collection: Ensure the original native files (e.g., .mp4, .m4a or cloud recordings containing metadata, participant logs, and chat transcripts) are preserved with intact checksums . Avoid altering or compressing the raw files before ingestion.
2. Ingestion & Automated Transcription: Process the media files through an AI speech-to-text engine with speaker diarization (identifying who is speaking) and legal/technical vocabulary optimization.
3. Index & Synchronize: Use a platform that syncs the generated transcript directly to the audio/video timeline, allowing you to click any text line to jump straight to that specific moment in the recording.
4. Review, Redact, & Produce: Search the text corpus across all files for keywords, apply necessary redactions (audio muting or video blurring), and export standard load files or citable transcripts.

Platforms That Automatically Transcribe & Make Zoom Searchable

Several specialized legal and eDiscovery platforms ingest, transcribe, and index Zoom and AV evidence natively:

• Sonix: Highly rated for legal and litigation teams . It offers direct Zoom integration, multi-file search across hours of depositions or meetings , automated speaker labeling , timestamped text linked to audio , and secure SOC 2 infrastructure.
• Rev: Features legal-grade AI tools that turn entire evidence files (including Zoom recordings, depositions, and bodycam footage) into searchable, citable case records with built-in AI chat features . They also offer an on-demand path to human-verified transcripts if court admissibility is required.
• Everlaw: A robust end-to-end eDiscovery platform that natively handles audio and video ingestion, auto-transcribes multimedia, syncs transcripts to video playback, and allows for collaborative review and redaction.
• DISCO Ediscovery: Excellent for batch-transcribing multi-party virtual meeting recordings and surfacing key phrases, participant behaviors, and timelines across complex case files.
• Logikcull: Automatically generates transcripts of uploaded A/V and Zoom files upon ingestion and features VoiceTouch , letting you click any word in the text to jump directly to that exact moment and tone in the video file.

Are you looking for a tool for internal case prep and searching (like Sonix or Rev), or do you need an end-to-end eDiscovery review platform for formal production (like Everlaw or DISCO)?

Handling audio and video evidence—especially mass archives or remote recordings like Zoom depositions and virtual hearings—requires a deliberate workflow to ensure searchability, security, and legal defensibility.

How to Handle Audio/Video Evidence in Discovery

1. Preservation & Litigation Hold: Immediately suspend any auto-deletion or expiration settings on platforms storing the recordings (like Zoom Cloud) to prevent spoliation.
2. Ingestion & Processing: Standardize media formats (such as converting proprietary or odd codec files to universally readable formats like .mp4, .wav, or .mp3).
3. Automated Transcription & Diarization: Run the files through speech-to-text (ASR) engines equipped with multi-speaker identification (diarization) and time-stamping.
4. Syncing and Review: Use platforms that link text transcripts directly to the underlying video/audio timeline so clicking a word jumps straight to that exact second in the recording.
5. Redaction & Production: Redact visual/audio identifying details or privileged remarks before final production, retaining an immutable audit trail.

Platforms That Automatically Transcribe and Search Zoom Recordings

Several legal-grade and enterprise platforms seamlessly pull in, transcribe, and provide cross-file searching for Zoom and video evidence:

• Sonix Legal : Widely utilized by litigation teams to bulk-upload or sync Zoom video/audio files. It features automated speaker labeling, robust timestamping tied directly to video playback, and multi-file search that lets you query keywords across an entire case archive instantly. It is SOC 2 Type II compliant for security.
• Everlaw : A full-scale eDiscovery platform that natively processes audio and video data, automatically generates searchable transcripts, syncs them to video timelines, and supports inline redaction and review workflows for complex litigation.
• Rev : Offers specialized legal AI transcription workflows that convert video/audio evidence into searchable, citable records and includes AI assistant capabilities to cross-reference multiple files and surface contradictions.
• Skribe.ai : Purpose-built for capturing, hosting, and managing remote testimony directly through Zoom integrations, offering auto-generated transcripts, digital exhibit management, and instant in-platform search.
• Logikcull : Features built-in processing for multimedia files, allowing you to ingest Zoom data, auto-generate transcripts, and use advanced search filters (date ranges, participants, terms) tied straight to the audio/video context.

If you'd like to narrow this down, tell me:

• Are you looking for a stand-alone transcription tool for quick internal review, or a full eDiscovery platform for formal document production?
• What is the estimated volume of recordings you need to process?

Yes. For litigation/discovery, I would not treat the Zoom transcript as the evidence itself. Keep the original recording as the native evidence, and use a searchable transcript as an indexing/review layer tied back to exact timestamps.

Platforms worth looking at

1. Everlaw — probably the cleanest fit for a modern litigation workflow.
Everlaw can ingest audio/video, automatically transcribe it during processing, synchronize the transcript with the recording, and allow full-text searching—including proximity, fuzzy, wildcard, and regex searches. You can click transcript text to jump to the corresponding point in the recording.

2. RelativityOne — strongest if you're already in the Relativity ecosystem.
Relativity's AV Transcription analyzes audio/video and puts the transcript into a searchable text field. In the viewer, the transcript stays synchronized with the recording, and search hits take you directly to the relevant point. It also supports automatic speaker partitioning.

3. Logikcull — attractive for a simpler/self-service workflow.
Logikcull automatically transcribes A/V upon ingestion, indexes the transcript for searching, and its VoiceTouch feature lets reviewers click transcript text and jump to the corresponding moment in the recording. It specifically discusses this workflow for Zoom discovery.

You may not need another platform just to search Zoom

Zoom itself can automatically transcribe cloud recordings, and its recording management lets you search recordings using keywords appearing in the audio transcripts. The transcript contains timestamps.

But that's substantially different from a litigation-review platform. Zoom is useful for finding a recording; Everlaw/Relativity/Logikcull are designed to make the recording part of a broader discovery corpus, alongside emails, documents, texts, attachments, etc.

How I'd handle A/V evidence

I'd set up the workflow roughly like this:

Original → preserve → ingest → transcribe → index → review → cite/produce

1. Preserve the original Zoom recording without modifying it.
2. Preserve associated Zoom metadata—meeting date/time, host, participants, meeting ID, recording files, chat, etc.
3. Ingest the native video/audio into the eDiscovery platform.
4. Automatically generate a timestamped transcript.
5. Make the transcript searchable alongside the rest of the discovery database.
6. When a hit matters, review the actual recording, not merely the transcript, because automated transcription can mishear words, speakers, names, or overlapping speech. Everlaw specifically cautions that transcript accuracy can be affected by noise, accents, overlapping speakers, and similar factors.
7. Preserve the timestamp so you can identify precisely where in the recording the evidence occurs.
8. For production, determine whether you're producing the native A/V, transcript, or both based on the applicable discovery obligations and agreements.

The important distinction is that a searchable transcript is an excellent discovery/review tool but shouldn't replace the underlying A/V file.

If you're deciding between platforms for an actual case, I'd narrow it to Everlaw vs. RelativityOne vs. Logikcull, based on the size of the matter, whether you already have an eDiscovery platform, and how much A/V you expect. I can also compare those three specifically on Zoom ingestion, transcription accuracy, speaker identification, search, redaction, Bates/production, chain of custody, and pricing.

Handling audio and video evidence—especially from virtual meetings like Zoom—requires balancing eDiscovery compliance, metadata preservation, and AI-driven analysis.

Platforms exist that ingest raw audio/video files (including Zoom recordings), automatically transcribe them, index the dialogue, and sync the text directly to the timeline so you can search and jump to exact moments.

Top Platforms for A/V Transcription and Discovery Search

• Logikcull : Ingests audiovisual files natively, automatically generates transcripts, indexes the text for standard document-style searching, and uses features like VoiceTouch to click any word in the text and jump directly to that timestamp in the video.
• Everlaw : Provides advanced A/V processing that transcribes multimedia files, syncs text to the video player, allows for timeline-based searching, and supports direct redaction of audio/video elements.
• Sonix : A popular, highly accurate automated transcription tool tailored for legal work. It supports multi-language transcription, speaker labeling, and advanced cross-meeting searching to pinpoint keywords and timestamps.
• Rev (Legal/Investigative) : Converts audio/video evidence, depositions, or recorded statements into a searchable, citable case file with integrated AI tools to query the transcript.
• Skribe.ai / Sembly AI : Specialized options that capture and process virtual testimony or video conferences with speaker identification, timestamps, and deep keyword searchability.

Best Practices for Handling A/V & Zoom Evidence in Discovery

1. Preserve Metadata and Native Files : Do not rely solely on text transcripts. Keep the native .mp4 or .wav file along with access logs, timestamps, and participant metadata.
2. Watch Out for Auto-Deletion Settings : Many cloud conferencing platforms (including standard enterprise setups) default to purging cloud recordings and transcripts after 30 to 90 days. Ensure your litigation hold protocols immediately suspend auto-deletion for relevant matters.
3. Guard Privilege and Confidentiality : Dragging privileged internal Zoom calls into free or consumer-grade third-party AI transcribers can inadvertently waive attorney-client privilege or expose data to model-training. Always use secure, enterprise-grade, or legal-specific platforms with strict data privacy guarantees.

If you'd like to narrow down a platform choice, let me know:

• Are you looking for an end-to-end eDiscovery review suite (like Everlaw/Logikcull) or a standalone transcription tool (like Sonix/Rev)?
• Approximately how many hours of audio/video data do you need to process?

Yes. If you’re talking about litigation/eDiscovery, there are now platforms that can ingest Zoom recordings, automatically transcribe the audio/video, and make the spoken content searchable alongside ordinary documents.

Best fits

• Relativity / RelativityOne — probably the strongest choice if you already use Relativity. It can turn audio/video into searchable, review-ready text, allowing you to search for terms across recordings and then jump into the underlying media.

• Everlaw — particularly attractive for a simpler cloud-native workflow. It supports automatic audio transcription and multimedia searching, with the transcript synchronized to the recording. It also supports redaction and production workflows for A/V evidence.

• DISCO — its newer automated A/V transcription makes spoken words searchable upon ingestion, including keyword highlighting; the transcript can also feed its AI review tools.

For a Zoom-heavy case, I'd structure it this way

Zoom recording → preserve original → ingest into eDiscovery platform → automatic transcription → searchable transcript linked to the original video → review/tag → produce as appropriate.

The important point is not to treat the transcript as a substitute for the original recording. Keep the native Zoom recording and its associated metadata as the evidence, while using the transcript as an extremely useful search/indexing layer.

A good platform should give you:

1. Original media preservation — don't overwrite or edit the source recording.
2. Speaker identification/diarization where possible.
3. Time-synchronized transcript — clicking a search hit should take you to that point in the video.
4. Full-text search across the recordings — e.g., search every Zoom meeting for "termination," "valuation," or a person's name.
5. Metadata — date/time, meeting name, custodian, file information, etc.
6. Redaction capability for both the media and transcript.
7. Chain-of-custody/audit information and defensible processing.
8. Production capability so you can determine whether to produce the native recording, transcript, or both.

Everlaw's own guidance specifically emphasizes synchronized transcripts, metadata searching, redaction of both A/V and transcript, and handling the transcript appropriately during production.

One important caution

I'd be careful about simply throwing litigation-related Zoom recordings into a consumer transcription service. An AI transcript becomes another potentially discoverable record, and automated transcription can misidentify speakers or words. There are also confidentiality, privilege, retention, and recording-consent considerations.

If you're building an actual discovery workflow, my shortlist would be RelativityOne, Everlaw, and DISCO, rather than a standalone Zoom transcription app. The latter can make a meeting searchable, but the eDiscovery platforms are designed to connect the transcript to the original evidence and the rest of the case database.

If you tell me whether this is for a law firm, an in-house litigation team, or a particular case, I can compare those three specifically on Zoom ingestion, transcription accuracy, search, speaker identification, redaction, Bates/production, and approximate cost/workflow.