Working on Whisperit v3: a document automation platform for lawyers, voice-first.

The idea: lawyers spend 60%+ of their time writing documents. We give them an AI assistant that actually understands legal context — case files, templates, emails, the full picture.

What we've been shipping lately on the v3 branch:

• Workflow engine — visual editor + execution pipeline for legal document workflows (think: intake → draft → review → send, all orchestrated)

• Case-context AI assistant — docked right into your case view, with file attachments, skill system, and next-action suggestions. It knows your case, not just your prompt. Think Pipedrive CRM for lawyer!

• Skills system — modular prompts lawyers can pick and inject (summarize deposition, draft motion, extract key dates, Claude Skills, etc.)

• Cloud drive sync — bi-directional sync with Google Drive and OneDrive. Lawyers keep their existing file setup, we plug in and keep everything in sync

• Outlook, Gmail, IMAP email integration — connect your inbox, pull relevant emails directly into cases

• Template multi-output generation — one case, multiple documents generated in one flow

• BYO AI provider — user/workspace/admin level settings for AI models. Some firms want Azure, some want Anthropic, we let them choose

• Canvas boards with AI context for visual case planning Stack: Next.js 16, FastAPI + LangGraph backend, Supabase.

We're a small team in Switzerland and across the globe, shipping daily. Target is Q1 for the v3 launch. If you work in legal or know lawyers drowning in document work: would love feedback or test our beta :)

https://whisperit.ai

What did you use to record the video on the home page, if you don't mind me asking? I need to do something similar. One tip I've seen is to record at a higher resolution than you need, then scale down. The demo is good, but looks a little grainy at points, FYI.

Of course! I have looked into many tools to be able to do that properly. This one was done with Screen Studio, which is one, and there is another one that is nice and open source: Cap - but a bit less features.