DepoIQ: DepoIQ is an AI platform that transcribes and analyzes legal depositions and Examinations Under Oath, turning testimony into structured, searchable claims intelligence. Screenpipe: Screenpipe is an open, local-first desktop app that records your screen and audio, transcribes calls on-device with Whisper, and auto-generates meeting summaries with action items. We compare them on cost, capture approach, and day-to-day fit so you can choose faster.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist DepoIQ when litigation and defense attorneys preparing cross-examination strategy from deposition testimony matters most, and Screenpipe when building a searchable, private record of meetings and screen activity to recall past discussions and decisions matters most. Run both through a week of actual calls to see which suits your workflow.
DepoIQ is an AI platform that transcribes and analyzes legal depositions and Examinations Under Oath, turning testimony into structured, searchable claims intelligence.
Screenpipe is an open, local-first desktop app that records your screen and audio, transcribes calls on-device with Whisper, and auto-generates meeting summaries with action items.
DepoIQ is an AI-powered claims and litigation intelligence platform built around legal depositions and Examinations Under Oath (EUOs). It ingests recorded testimony alongside medical records and billing documents, organizing them into a unified, searchable claim file. The platform captures testimony through uploaded transcripts and video, and also supports remote examinations conducted over Zoom with real-time transcription via its Examination Hub. From this material, DepoIQ generates structured summaries with page-line references, automatically flags contradictions and admissions, and connects testimony patterns across claimants, witnesses, and experts. Its "Ask DepoIQ" feature lets users run natural-language queries across all depositions, records, and EUOs without manual review. The company describes a proprietary "Large Behavioral Model" that analyzes linguistic, structural, and temporal patterns and extracts behavioral features from video, audio, and natural language to support credibility assessment. DepoIQ is aimed at insurers, third-party administrators, Special Investigation Units, and defense litigation law firms handling complex claims.
Best suited for
Screenpipe is a local-first, source-available desktop application that continuously captures your screen and audio to build a private, searchable AI memory of your computer activity. For meetings, it records microphone and system audio in the background and transcribes in real time using OpenAI's Whisper model running locally, so calls from any app that plays through your speakers, including Zoom, Google Meet, Microsoft Teams, and Slack huddles, are captured without a bot joining the call. It supports speaker diarization and many languages. When a meeting ends, a meeting-summary pipe can generate structured notes, including a short bullet summary, action items per person, and decisions plus next steps, and write them to destinations such as Obsidian, Notion, or Apple Notes. Because capture, text extraction, transcription, and search can run entirely offline, data stays in a local database on your device, with options to redact PII and exclude specific apps or windows. Screenpipe also runs as an MCP server, letting AI assistants query your history. It is aimed at engineers, researchers, and privacy-conscious professionals. It runs on macOS, Windows, and Linux.
Best suited for
DepoIQ is custom pricing (contact sales); Screenpipe is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | DepoIQ | Screenpipe |
|---|---|---|
| Core capability | Transcription of depositions and EUOs from uploaded video or live remote sessions over Zoom | On-device screen and audio recording that captures system audio from any app, including Zoom, Google Meet, Teams, and Slack huddles |
| Standout feature | Structured summaries with page-line references extracting key testimony | Local real-time transcription using OpenAI's Whisper model, with speaker diarization and multi-language support |
| Team usage | Automatic detection of contradictions, admissions, and impeachment opportunities across documents | Automatic meeting summaries with bullet recap, action items per person, and decisions plus next steps |
| Integrations | Ask DepoIQ natural-language querying across all depositions, records, and EUOs | Writes structured notes to destinations like Obsidian, Notion, and Apple Notes via configurable pipes |
| Languages & capture | Behavioral analysis of video, audio, and language via a proprietary Large Behavioral Model | Fully offline operation with local storage, on-device PII redaction, and app/window/URL exclusions |
| Best-fit workflow | Cross-document analysis connecting testimony patterns across claimants, witnesses, and experts | Runs as an MCP server so AI assistants and clients can query your screen and audio history |
DepoIQ
Choose DepoIQ if you need litigation and defense attorneys preparing cross-examination strategy from deposition testimony — strengths include purpose-built for depositions and euos rather than generic meeting notes.
Screenpipe
Choose Screenpipe if you need automatically capturing and summarizing video calls across zoom, meet, and teams without a meeting bot — strengths include privacy-first: capture, transcription, and search can run entirely on-device with no cloud dependency.
DepoIQ
Screenpipe
It depends on your workflow. DepoIQ is strong for litigation and defense attorneys preparing cross-examination strategy from deposition testimony, while Screenpipe is strong for automatically capturing and summarizing video calls across zoom, meet, and teams without a meeting bot. Both transcribe and summarize meetings.
DepoIQ is custom pricing and Screenpipe is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Yes. Many teams run more than one meeting assistant when the workflows are complementary.
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