Quench

Est. 2023 United States Updated 2026-02-10
Unverified by r/legaltech members — this page is based on publicly available information, not hands-on testing or practitioner feedback. Verify your experience with Quench

Physician-engineered AI platform for medical record analysis in legal cases. SmartChart auto-generates medical chronologies from uploaded PDFs, enables smart search queries (‘find all radiology reports’, ‘list all surgery dates’), and provides source-verified answers to case questions. Workflow: upload PDFs → AI extracts and organizes → generates chronology → enables queries with citations to source records. Pay-per-case: $69/case (introductory), no subscription. Free trial available. Founded 2023 by Dr. Michael Lesh (physician/CEO). Team of doctors, data scientists, and tech experts — physician-led gives unique credibility for medical accuracy. 6 employees, 429 LinkedIn followers. HIPAA compliance supported per privacy policy but BAA details and data processing chain not independently verified. LawNext covered launch (Jul 2024). YouTube and Spotify interview available. Head of Customer Success spoke with 100+ prospects. Actively hiring legal enterprise BDR. Customer Stories page exists but no named customers. Founder posted in r/legaltech. Targets PI law firms, insurance companies, and medico-legal agencies. QA responsibility (who verifies AI output) not documented — critical for legal work.

Company Info

  • Founded: 2023
  • Team size: 1-10 employees
  • HQ: United States
  • Sector: Gen, AICase Management

What We Haven’t Verified

This page was assembled from publicly available information. Feature claims and workflow mappings are based on what the vendor and third-party listings publish — not hands-on testing or practitioner feedback.

What practitioners struggle with

Real frustrations from legal professionals — the problems Quench addresses (or should address). Sourced from practitioner reviews, Reddit threads, and case studies.

Medical records arrive as 500-2,000 page PDFs that a paralegal spends 8-20 hours manually reading and summarising into a chronology — the bottleneck that delays every PI demand

Document Review & Management 28 vendors affected Solo practitioner · Small firm (2–10) · Mid-size firm (11–50) · Large firm (51–200)

Plaintiff firm can't scale past 100-200 active cases because every additional case adds linear paralegal/attorney hours for med records, chronologies, and demand work — the economics break without automation

Firm Operations & Growth 15 vendors affected Solo practitioner · Small firm (2–10) · Mid-size firm (11–50)

PI attorney receives 500 pages of medical records for a case and needs to understand the treatment timeline and key injuries — reading through everything takes a full day per case, and the demand letter deadline is tomorrow

Research & Analysis 11 vendors affected solo-attorney · Paralegal · Solo practitioner · Small firm (2–10)

Paralegal gets handed 500 pages of medical records for a personal injury case and has to redact every Social Security number, date of birth, and insurance ID before the records can be shared with opposing counsel — spends an entire day in Adobe Acrobat drawing black boxes over text, misses a SSN on page 347, and the firm gets a frantic call from the client's insurance company asking why their member's PII was disclosed in discovery

Document Review & Management 7 vendors affected Paralegal · junior-assoc · Mid-size firm (11–50) · Large firm (51–200)

PI attorney juggling 50 active cases can't quickly answer basic questions about any single case — 'What were the treatment dates?', 'Did we get the MRI report?', 'What's the total in medical specials?' — without physically re-reading hundreds of pages of records each time

Research & Analysis 5 vendors affected Small firm (2–10) · Mid-size firm (11–50) · Solo practitioner

Claims handler or defense counsel gets a 3,000-page claim file before reserve review, mediation, or assignment and needs to know the real exposure fast — but the file mixes medical records, expert reports, prior correspondence, and pleadings, so one missed adverse fact can distort reserve decisions, settlement posture, and whether outside counsel gets pulled in too late

Document Review & Management 5 vendors affected In-house counsel · Legal ops · Large firm (51–200)

Disability, PI, or plaintiff-side firm gets a medical file with thousands of pages spread across treatment notes, imaging, and benefits records, and the attorney needs to find the facts that actually matter without paying someone to reread the full file every time a hearing, demand, or brief comes due.

Research & Analysis 4 vendors affected Solo practitioner · Small firm (2–10) · Mid-size firm (11–50) · Legal ops

Where it fits in your workflow

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