DepoIQ: DepoIQ is an AI platform that transcribes and analyzes legal depositions and Examinations Under Oath, turning testimony into structured, searchable claims intelligence. joinly: Open-source, self-hostable connector that lets AI agents join Google Meet, Zoom, and Microsoft Teams calls to transcribe, listen, and act in real time via MCP. Below, they line up on price, capture method, and how each fits a real meeting stack.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist DepoIQ when litigation and defense attorneys preparing cross-examination strategy from deposition testimony matters most, and joinly when self-hosted, privacy-first real-time meeting transcription for regulated teams 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.
Open-source, self-hostable connector that lets AI agents join Google Meet, Zoom, and Microsoft Teams calls to transcribe, listen, and act in real time via MCP.
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
joinly is an open-source middleware project (by joinly-ai) that makes meetings accessible to AI agents. It runs as a Model Context Protocol (MCP) server that equips any agent with the tools to join a live video call, capture a real-time transcript, and interact by voice or chat during the meeting. Rather than being a finished notetaker app, joinly is a framework developers use to build interactive meeting agents that can listen, answer, search the web, draft documents, and post chat messages while the meeting is in progress. It works cross-platform across Google Meet, Zoom, and Microsoft Teams (and browser-based calls), and is model-agnostic, supporting OpenAI, Anthropic, and local models through Ollama. Speech-to-text and text-to-speech are modular, with Whisper or Deepgram for transcription and Kokoro, ElevenLabs, or Deepgram for synthesis. The project is MIT licensed and deployed via Docker (with a separate CUDA GPU image), giving teams full data sovereignty. The MCP server exposes join/leave controls, transcript and participant access, audio control, chat messaging, and video snapshots, making it a building block for custom, privacy-first meeting automation. Pricing varies by plan. Check the official website for current pricing.
Best suited for
DepoIQ is custom pricing (contact sales); joinly is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | DepoIQ | joinly |
|---|---|---|
| Core capability | Transcription of depositions and EUOs from uploaded video or live remote sessions over Zoom | MCP server that exposes meeting tools (join/leave, transcript, chat, audio control, snapshots) to AI agents |
| Standout feature | Structured summaries with page-line references extracting key testimony | Real-time transcription with timestamps and speaker information, subscribable for live updates |
| Team usage | Automatic detection of contradictions, admissions, and impeachment opportunities across documents | Cross-platform support for Google Meet, Zoom, Microsoft Teams, and browser-based calls |
| Integrations | Ask DepoIQ natural-language querying across all depositions, records, and EUOs | Modular speech-to-text and text-to-speech backends (Whisper, Deepgram, Kokoro, ElevenLabs) |
| Languages & capture | Behavioral analysis of video, audio, and language via a proprietary Large Behavioral Model | Model-agnostic: works with OpenAI, Anthropic, and local LLMs via Ollama |
| Best-fit workflow | Cross-document analysis connecting testimony patterns across claimants, witnesses, and experts | Docker-based self-hosting with optional CUDA GPU image |
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.
joinly
Choose joinly if you need building custom ai meeting agents that answer questions and run tasks during live calls — strengths include fully open source (mit) and self-hostable for complete data control.
DepoIQ
joinly
It depends on your workflow. DepoIQ is strong for litigation and defense attorneys preparing cross-examination strategy from deposition testimony, while joinly is strong for building custom ai meeting agents that answer questions and run tasks during live calls. Both transcribe and summarize meetings.
DepoIQ is custom pricing and joinly is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
You can — some teams pair them when each covers a different part of the meeting workflow.
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