Legalyze is a narrowly focused but real litigation workflow product aimed at personal injury and workers’ compensation teams drowning in medical records. The live March 2026 site is unusually concrete: AI medical chronology creation, sourced medical summaries, case chat tied to exact record locations, drafting for motions and letters, support for handwritten and scanned records, and direct integrations with CASEpeer, MyCase, Smokeball, Litify, Salesforce, and soon Clio. Pricing is public and simple: $150/month for 1,000 pages, $500/month for 5,000 pages, $1,000/month for 15,000 pages, plus custom enterprise pricing above that. Security claims are also more specific than average for a small legal AI vendor: third-party pentest, encrypted storage, no model training on customer data, and business associate agreements with OpenAI and Anthropic to support HIPAA-safe workflows. The strongest third-party validation is ecosystem-driven rather than review-platform-driven: MyCase integration pages, Smokeball marketplace listing, a KorumLegal interview, funding coverage from SaaS News and citybiz, and some real but founder-involved Reddit discussion. The main limitation is scope. Legalyze is not broad case-management software; it is an AI medical-record-review and chronology layer that plugs into PI and workers’ comp case systems.
Company Info
- Founded: 2023
- Team size: 1-10 employees
- Funding: $125K
- HQ: United States
- Sector: Litigation
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.
Workflows
Based on practitioner evidence, Legalyze is used in these workflows:
What practitioners struggle with
Real frustrations from legal professionals — the problems Legalyze addresses (or should address). Sourced from practitioner reviews, Reddit threads, and case studies.
Managing 200+ open PI cases with medical records, deadlines, and lien tracking in spreadsheets — one missed statute of limitations and the firm faces malpractice
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
Demand letter drafting takes 3-6 hours per case because the attorney manually weaves medical records, liability facts, and damage calculations into a persuasive narrative — multiplied across 50+ active PI cases
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
Where it fits in your workflow
Before Legalyze
PI or workers' comp matter lands with hundreds or thousands of pages of medical records, often scanned or handwritten -> legal team has to extract treatment events, understand injuries, and turn that into usable case strategy and drafting input
After Legalyze
Legalyze builds sourced medical chronologies, answers questions against the record, and drafts letters or motions -> lawyers and case staff validate the outputs -> chronology and drafts flow back into PI case-management systems and settlement or litigation workflows
Integrations & hand-offs
Medical records move from MyCase, CASEpeer, Smokeball, Litify, Salesforce, or file uploads into Legalyze -> AI chronology, case chat, and drafting outputs are produced with source references -> the team uses or syncs those results back into its primary PI workflow. Public materials do not describe broader billing, deadline, or lien-management capabilities.
Community Data
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