Stet vs Mike

Open-source, local-first transcription with BYOK is the right architecture. I've been burned by voice tools that upload my audio to servers I can't audit. The voice profile approach for preserving style is technically interesting — I want to see how it handles domain-specific jargon and code-switching between formal and casual registers.

Self-hosted legal AI that runs on your own Claude or Gemini API key is genuinely clever — the pricing model alone makes this worth exploring. The codebase is clean and the tabular citation view is the kind of UX detail that shows someone actually thought about the legal workflow. Deploy this for any firm that's been priced out of Harvey.

The 'sounds like you' promise needs a lot of data to actually deliver — your voice profile is only as good as the writing samples it's trained on, and most people don't have a consistent, large corpus of their own writing. For casual dictators, this might just be Whisper with extra steps. Apple's built-in dictation is free and surprisingly good now.

Solo dev projects in legal tech carry serious liability risk — if the model hallucinates a clause or misses a citation, the consequences aren't a bad tweet, they're malpractice exposure. Until this has real-world usage data from actual attorneys and independent security audits, enterprise law firms should stay cautious. Also, Claude Sonnet or Gemini Flash are not the same as GPT-5.5 fine-tuned on case law.

Voice-first computing is coming back, and the arms race for authentic AI writing assistance is heating up. The distinguishing factor won't be transcription accuracy — everyone has solved that — it will be voice fidelity. Stet is building in the right direction: local processing plus personal style models. Expect this architecture to be standard in two years.

Open-source legal AI is the first credible wedge against the Harvey monopoly on AI-native law. When every solo practitioner and boutique firm can deploy their own matter-scoped AI workspace for free, the power dynamic in legal tech shifts permanently. Mike is the kind of project that looks small today and reshapes an industry in five years.

This is genuinely exciting for writers and content creators. The homogenization of AI-assisted writing is a real aesthetic problem — everything starts sounding like the same LinkedIn post. A tool that actively fights that tendency by learning your specific voice is solving the right problem. Even if the voice model needs work, the direction is exactly right.

The tabular review UI is genuinely beautiful for a developer-built open source project — it solves the 'show your work' problem that makes lawyers distrust AI outputs. If the UX holds up under real document loads, this is the design template for AI tools in trust-sensitive industries.