Justpoint is an AI-powered consumer protection and mass tort platform founded in 2018 in Boulder, CO by Victor Bornstein (PhD, Rockefeller University; former Assistant Professor of Healthtech at Mount Sinai; company originally incorporated as Intrellit Inc.). The platform uses proprietary AI, epidemiological data, medical studies, FDA safety reports, and patient records to proactively identify dangerous products and pharmaceuticals — ‘decades before conventional methods’ (vendor claim, unverified). Employs scientists, epidemiologists, and technologists alongside legal professionals. Originally partnered with mass tort law firms to bring claims on behalf of 10,000+ affected consumers. In Feb 2026, launched Justpoint Law LLP — described as the first AI-native US mass tort and personal injury law firm, approved under Arizona’s Alternative Business Structure (ABS) framework (approved July 2025). Note: Arizona Republic investigation (Feb 8, 2026) found ‘loopholes, lack of oversight, and financial conflicts of interest’ in the ABS program itself — relevant context for evaluating this model. Funding: $45M Series A led by SignalFire (Feb 2025) + $50M credit line + earlier rounds. Crunchbase shows $53M across 3 rounds; the $153.2M stub figure likely includes the credit line. 112 employees (TLTF: 201-500 on LinkedIn — discrepancy). Trustpilot: 4.1/5 from 85 consumer reviews. No G2/Capterra (not a SaaS tool). 3,307 LinkedIn followers (low for funding level). EV: 1,000/mo. ‘justpoint reviews’ gets 70 searches/mo — consumers checking legitimacy.
Company Info
- Founded: 2018
- Team size: 51-200 employees
- Funding: $153.2M
- HQ: United States
- Sector: Knowledge 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.
Workflows
Based on practitioner evidence, Justpoint is used in these workflows:
What practitioners struggle with
Real frustrations from legal professionals — the problems Justpoint addresses (or should address). Sourced from practitioner reviews, Reddit threads, and case studies.
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
Mass tort firm managing 5,000 PFAS water contamination cases needs to identify which claimants have documented diagnoses matching the MDL's criteria — manually reviewing military and medical records for each one would take years and cost millions in contract attorney fees
Mass tort law firm discovers a potential new product liability case — a drug or device is causing harm — but building the scientific case takes months of epidemiological research, FDA adverse event report analysis, and medical literature review before the first complaint can even be filed, and by then another firm has already filed the MDL
Where it fits in your workflow
Before Justpoint
Consumer harmed by product/drug → Justpoint's AI identifies pattern in medical/safety data → consumer screening and qualification → case assignment
After Justpoint
Justpoint Law (or partner firm) files litigation → discovery → settlement/trial → compensation distributed to claimants
Integrations & hand-offs
Two models: (1) Pre-Feb 2026: Justpoint identifies and qualifies cases, hands to partner mass tort firms for litigation. (2) Post-Feb 2026: Justpoint Law handles cases directly under ABS, hiring contract partner attorneys (Arizona-licensed). In both models, Justpoint's AI does upstream work (case identification, claimant screening, medical data analysis). Litigation execution is downstream. ABS model allows Justpoint to vertically integrate — but Arizona Republic investigation raises questions about ABS oversight.
Also used by similar teams
Community Data
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