ProofBrief
A citation-first research assistant for paralegals, junior consultants, and clinical research coordinators that drafts memos only from approved internal document sets and refuses to answer if no source is found — built for tasks where 'I don't know' is preferable to a wrong answer.
paralegals, junior consultants, and clinical research coordinators who draft internal memos daily
- Document-scoped chat that only sees pre-approved folder or knowledge-graph contents
- Refusal mode that returns 'no source found' instead of inventing an answer
- Inline citation drafts ready to paste into Word or Google Docs memos
- Audit log of every query, answer, and cited source for internal review
Junior staff are being asked to draft faster using AI, but senior reviewers are catching fabricated citations that erode trust — a 'citation-first' tool flips the default.
Stanford HAI study shows 69-88% hallucination rates on legal queries from leading LLMs, and McKinsey reports 75%+ of its 43,000 staff already use internal AI (Lilli) for junior drafting — confirms both the fabrication pain point and active adoption by the exact target users.Hallucinating Law: Legal Mistakes with Large Language Models are Pervasive ↗McKinsey Is Using AI to Create PowerPoints and Take Over Junior Work ↗
Legal AI is crowded (Harvey, CoCounsel, Spellbook, GC AI, Clio Duo, 12+ tools in current guides) and clinical documentation has PPD, Glass Health, Aduvera; the strict 'refuse-to-answer' angle is nascent (only niche write-ups like Rounds' 'Citation-First Clinical AI Assistant') but the overall market is not wide open.12 Best Legal AI Tools for Lawyers and Legal Teams (2026) ↗Citation-First Clinical AI Assistant: Complete Guide for Hospital CMOs ↗
Proven premium pricing in the segment: Harvey AI estimated at $50K-$200K/year enterprise and $1,200+/month per seat, with adjacent clinical/regulated tools also commanding premium SaaS — clear willingness to pay for citation-accurate tooling in legal and clinical workflows.Harvey AI Pricing 2026: Enterprise Legal AI ($50K-$200K/Year) ↗Legal AI Pricing 2026: Harvey vs CoCounsel vs Clio (Real $) ↗
Hallucination risk in regulated, citation-heavy work (law, clinical trials, consulting memos) is a structural problem tied to LLM architecture and to professional liability — it will outlast any single model cycle and keeps driving procurement for grounded tooling.
RAG over an approved document corpus with confidence-threshold refusal is standard LLM engineering, but production-grade ingestion (PDFs, Word, DMS connectors), eval harness against fabricated-citation benchmarks, and enterprise UX add meaningful build cost — doable for a small team, not trivial.