CaseMark: CaseMark is an AI legal operating system whose court-reporting product processes uploaded deposition and proceeding recordings into reviewed transcripts and structured summaries for law firms and court reporters. 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. 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 CaseMark when court reporters certifying transcripts and producing deposition summaries from recorded proceedings 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.
CaseMark is an AI legal operating system whose court-reporting product processes uploaded deposition and proceeding recordings into reviewed transcripts and structured summaries for law firms and court reporters.
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.
CaseMark is an AI-powered legal operating system built for attorneys, law firms, and court-reporting providers. Within its court-reporting product, users upload audio or video recordings of depositions, hearings, and proceedings (up to 8GB per file), then review AI transcript drafts alongside the source media, verify terminology, and certify final transcripts. The platform does not record live proceedings or employ stenographers; it works from existing media files attached to a matter. Beyond transcription review, CaseMark generates structured work product from transcripts and documents, including deposition summaries (page-line, narrative, and analysis formats), proceeding recaps, indices, case summaries, and medical chronologies. Everything is organized around individual matters, with a branded client portal for secure delivery and matter-scoped chat. CaseMark is web-based (app.casemark.com) and exposes services through its case.dev API platform. It is SOC 2 Type II certified and HIPAA compliant, and states it does not use customer data for training. It targets court reporters, litigation teams, and corporate legal departments.
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
CaseMark 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 | CaseMark | joinly |
|---|---|---|
| Core capability | Uploads of deposition/proceeding audio and video (up to 8GB) for transcription review | MCP server that exposes meeting tools (join/leave, transcript, chat, audio control, snapshots) to AI agents |
| Standout feature | AI transcript drafts reviewed alongside source media with terminology verification and certification | Real-time transcription with timestamps and speaker information, subscribable for live updates |
| Team usage | Structured summaries: deposition (page-line, narrative, analysis), proceeding recaps, indices, and medical chronologies | Cross-platform support for Google Meet, Zoom, Microsoft Teams, and browser-based calls |
| Integrations | Matter-centric organization consolidating intake, sources, transcripts, and deliverables | Modular speech-to-text and text-to-speech backends (Whisper, Deepgram, Kokoro, ElevenLabs) |
| Languages & capture | Branded client portal with secure delivery and matter-scoped chat | Model-agnostic: works with OpenAI, Anthropic, and local LLMs via Ollama |
| Best-fit workflow | case.dev API platform and web app (app.casemark.com) | Docker-based self-hosting with optional CUDA GPU image |
CaseMark
Choose CaseMark if you need court reporters certifying transcripts and producing deposition summaries from recorded proceedings — strengths include purpose-built for legal proceedings and depositions, not generic 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.
CaseMark
joinly
It depends on your workflow. CaseMark is strong for court reporters certifying transcripts and producing deposition summaries from recorded proceedings, while joinly is strong for building custom ai meeting agents that answer questions and run tasks during live calls. Both transcribe and summarize meetings.
CaseMark 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.
Often yes: teams combine tools when one handles capture and another handles analysis.
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