ReasonFinder
A research assistant for lawyers, journalists and analysts that answers 'why' and 'what was decided' questions by reading source documents end-to-end, then explicitly flagging when its answer is a synthesis versus a direct quote.
Solo analysts, paralegals and freelance journalists researching past decisions and public statements
- Faithfulness labels on every paragraph: 'direct quote', 'paraphrase' or 'synthesis from multiple sources'
- Auto-generated list of documents that look related but don't contain the answer the user asked for
- Side-by-side viewer that pins the assistant's claim to the exact sentence it came from
- Export to a memo or footnote-ready document with citations pre-formatted
The Dev.to post crystallizes a problem most knowledge workers have felt: AI answers sound authoritative even when they are averaging over loosely-relevant documents, and there is no built-in way to tell which is which.
Stanford 2024/2025 study found 17-33% hallucination rates in Westlaw AI, Lexis+ AI, Harvey and CoCounsel, with vendors' 'hallucination-free' claims unsupported — strong, documented pain point for the exact user segment.Hallucination‐Free? Assessing the Reliability of Leading AI Legal Research Tools (JELS 2025) ↗
Market is dominated by well-funded incumbents (Westlaw, Lexis+, Harvey, CoCounsel, Casetext) with deep proprietary document corpora; explicit quote-vs-synthesis flagging is rare but incumbents are actively adding grounded-citation features, leaving a narrow window.Westlaw AI and Lexis+ AI Still Hallucinate: What the Stanford Study Actually Found ↗Legal AI Pricing 2026: Harvey vs CoCounsel vs Clio (Real $) ↗
Legal AI willingness to pay is high at the top (Harvey ~$1,200/mo, CoCounsel enterprise) but solo paralegals and freelance journalists are price-sensitive; no evidence yet that users will pay a premium specifically for synthesis-vs-quote flagging rather than a cheaper general assistant.Legal AI Pricing 2026: Harvey vs CoCounsel vs Clio (Real $) ↗CoCounsel Legal Pricing ↗
Hallucination and citation-accuracy concerns in legal/journalism AI are structural and intensifying with regulation (bar ethics opinions, EU AI Act, journalism standards), not a fad — the explicit 'is this a quote or a synthesis' framing should remain relevant for years.RAG Architectures: The Enterprise Standard That's Replacing Hallucinations ↗AI for Legal Research: Tools, Adoption, and the Hallucination Problem ↗
Buildable with current long-context LLMs (Claude/Gemini) plus a vector store and an eval harness for quote vs. synthesis labeling, but the quality bar is high — incumbents with proprietary corpora still hallucinate 17-33% per Stanford, so solo-builder accuracy will be hard to defend against reviews.Hallucination‐Free? Assessing the Reliability of Leading AI Legal Research Tools (PDF) ↗RAG in 2025: Solving Hallucinations & Scaling AI ↗