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Domain-Expert AI Knowledge Correction Layer Where Lawyers, Doctors, or Engineers Can Annotate AI Output In-Place and That Correction Persists Across Future Queries

saas venture scale •• multiple requests

Vertical AI tools (legal, medical, engineering copilots) hallucinate with the confidence of a senior partner, and the only feedback channel today is a thumbs-up/down nobody acts on. What the May 2026 'Senior lawyers correcting AI' wave is asking for is an in-document correction system where domain experts mark up the AI output (this clause is wrong, this case was overturned, this dose is wrong for pediatric), and those corrections become persistent training/retrieval memory the next time anyone asks a similar question.

builder note

The deep insight: an expert's correction is worth way more than 1000 RLHF thumbs-up. Price the product per-correction-author, not per-seat. A firm pays for 5 senior partners to teach it, then 200 associates use it for free.

landscape (3 existing solutions)

Vertical AI vendors charge $250+/seat/month and the customers are the most credentialed people on earth, but those customers have less control over correcting the tool than a Reddit moderator has over their subreddit. The build-your-own-correction-loop space is wide open.

Harvey / Spellbook / CoCounsel Closed vertical-AI products with no public correction UX. Hallucinations get reported to support, fixed (or not) by the vendor, never visible to the user who flagged them.
RLHF / fine-tuning pipelines Engineering-heavy, not built for a senior partner to mark up a brief in real time. The feedback loop is days/weeks, not the next query.
Notion AI / Slack Highlights Generic horizontal AI with no concept of domain truth. A doctor's correction doesn't propagate, doesn't get weighted higher than a marketer's.

sources (1)

reddit https://www.reddit.com/r/LangChain/comments/1t11f30/ "Built a System Where Senior Lawyers Can Correct the AI's Knowledge" 2026-05-01
vertical-aihuman-in-the-loopragprofessional-servicesknowledge-management