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CounselorAi

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(3)5.0/5

CounselorAI is an AI demand consultant and case operations platform built specifically for personal injury law firms. We are not a generic legal AI tool retrofitted to PI work — we are a PI-native platform that runs cases from intake through settlement. CounselorAI is a CMS-agnostic microservice with an open API. We plug into the case management system you already use — Litify, Filevine, MyCase, Smart Advocate, or Clio — without replacing it. Firms running standalone (no CMS) can also use CounselorAI as their full case operations layer. Core capabilities include conversational smart intake (30+ structured fields), automated medical record review with ICD-10 validation and treatment gap detection, dual-methodology settlement prediction grounded in 10,000+ verified court opinions, 17-section demand letter drafting in your firm's voice, post-draft citation validation that prevents hallucinated case law, and a negotiation co-pilot that drafts counters round-by-round through settlement. CounselorAI is HIPAA-compliant with per-firm data isolation and full audit logging. Per-use or monthly subscription pricing — no per-demand fees. Most firms deploy in less than a week. Built by a founder who spent a year embedded inside a California PI firm before writing a single line of code.

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 ![Sean S.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Sean S.")
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[Sean S.](https://www.g2.com/users/dc0e5098-05e8-4a28-8e87-541cea632a2b "Sean S.")

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4 months ago

Senior Program Manager | Building AI tools for personal injury law firms

Senior Program Manager | Building AI tools for personal injury law firms

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[
# Why are demand letters still so manual in 2026?
](/discussions/why-are-demand-letters-still-so-manual-in-2026)
Despite advances in legal tech, demand letter drafting remains surprisingly manual in many firms. Attorneys and paralegals still spend significant time pulling together medical summaries, liability narratives, damages breakdowns, and supporting exhibits from multiple systems, often rebuilding... [Read more](/discussions/why-are-demand-letters-still-so-manual-in-2026)

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