Practice law.JustineAI™ handles the rest.
The Agentic Legal OS. Reasoning-first. Attorney-attested. Currently powering personal injury practices — with workers’ comp, medical malpractice, mass tort, insurance bad faith, and employment class actions on the roadmap. Powered by Justine and the Eve-Legal F5/reasoner compound architecture, deployed on Eve-Grid™.
PI edition: 14-day free trial · No credit card required · Cancel anytime. Self-serve access is available for solo and small PI firms; sales-assisted onboarding for mid-size and enterprise.
You walk in to eighteen open files. By 10:00 a.m. you’re working the case that matters today.
You triage. Justine has already pulled the matters touched overnight — the treatment notes that just hit the chronology, the demand letter draft that came back with adjuster pushback, the deposition you set for Thursday. Each is annotated with what changed, what needs your decision, and what Justine has already lined up for your sign-off.
On the demand letter, Justine has already run the four-pass reasoning pipeline — a draft, a medical-causation pass, a damages-quantification pass, and a four-layer QA check. Every cited statute and case is anchored to CourtListener. You read, mark the two paragraphs you want sharpened, and approve. The letter is filed before lunch.
The 5,000-page record set is no longer the day’s blocker. Justine has chronologied it across providers, surfaced the treatment gaps the carrier will exploit, and flagged the three exam notes that contradict the IME. You decide what to do with each finding. The AI reasons; the attorney decides.
You sit down to think. Not to type.
In the same workspace, Justine has already reconciled the morning’s trust-account activity, flagged a conflict on the new intake from yesterday afternoon, e-filed the answer due in another matter, and surfaced two deadlines coming due next week. The case file is one tab. The deadline engine, the conflict-check ledger, the trust-accounting reconciliation, the time tracking, the client portal, the integrations with Microsoft 365 and Filevine — all of them are different tabs in the same operating system. JustineAI™ runs the firm, not just the demand letter.
One reasoning core. One edition in market. Five more on the way.
Eve-Legal F5/reasoner is shared across every JustineAI™ edition. What changes is the domain calibration — the workflow, the document pipeline, the jurisdictional rules — not the underlying compositional fabric. The supervisor pattern that powers PI is the same pattern that will power mass tort at scale.
- PIIn market
JustineAI™ — Personal Injury Edition →
Plaintiff-side personal-injury practice. Justine’s Workspace v1.2 intake with per-field provenance and validator council; nine-step Curation Layer over the medical record; four-pass demand-letter pipeline with ICD-10 / CPT validation and CourtListener citation verification; one-click Demand Package assembly (cover letter + Medical Chronology + Bill Stack); supervisor-over-sub-agents pattern across the nine-status case lifecycle.
Intake → Curation → Demand Package → Settlement, across the 9-status PI workflow.
- MTComing next
JustineAI™ — Mass Tort Edition →
MDL specialists. One Justine supervisor coordinates thousands of plaintiff sub-agents in a single context — bellwether scoring, settlement-matrix modeling at scale, lien negotiation, plaintiff fact-sheet auto-population. The supervisor + sub-agent pattern is the moat.
One supervisor. Thousands of plaintiff sub-agents. Bellwether scoring + settlement matrix.
- WCComing next
JustineAI™ — Workers’ Comp Edition →
Applicant and defense workers’ comp. State-specific filings, AME/PQME analysis, MMI tracking, MTUS/ACOEM treatment-utilization review, permanent-impairment rating modeling. ChironAI™ Occupational Medicine is the upstream feed — cross-portfolio moat.
AME / PQME / MMI / state-specific filings — with ChironAI™ OM as the upstream feed.
- MMOn the roadmap
JustineAI™ — Medical Malpractice Edition →
Multi-provider medical chronology across 5,000–50,000 pages per case. Causation analysis grounded in cited standard-of-care deviations. Daubert challenge preparation. Certificate-of-merit drafting. Expert-witness management.
Multi-provider chronology, causation reasoning, Daubert prep, certificate of merit.
- IBOn the roadmap
JustineAI™ — Insurance Bad Faith Edition →
Plaintiff-side bad-faith litigation. Policy-language interpretation, claim-file analysis, prior-claim pattern detection across the carrier’s portfolio, claim-handler deposition preparation, Brandt fees calculation.
Policy interpretation, claim-file analysis, Brandt fees, claim-handler depo prep.
- ELOn the roadmap
JustineAI™ — Employment Class Edition →
Plaintiff-side employment class action and FLSA collectives. Class certification motion practice, damages modeling at class scale, FLSA fluctuating-workweek calculations, opt-in conversion tracking, EEOC charge orchestration.
Class certification, damages modeling at class scale, FLSA collectives, EEOC orchestration.
Operate a personal-injury practice at full firm capacity with the headcount of one.
A typical PI practice’s case-management, intake, and medical-records review function runs between $300K and $600K per year for a solo practice: a paralegal at $80K, a case manager at $70K, an intake firm at $30–80K, a medical-records-review service at $50–150K, plus tooling and overhead. JustineAI™ delivers the same operational capability at a fraction. The attorney remains the strategist; the platform absorbs the time-sink that used to define solo practice.
Solo PI practice
$300K – $600K / yr
Paralegal + case manager + intake firm + medical-records-review service, fully loaded
Per-attorney leverage
10× case load
One attorney with Justine working the docket a 10-attorney firm used to handle
JustineAI™
Fraction of in-house
Per-attorney pricing. Attorney remains the strategist; the platform absorbs the time-sink.
The reasoner orchestrates. The frontier consults.
Every JustineAI™ edition runs on Eve-Legal™ Fusion v5 — a compositional fabric, not a stack. One Microsoft Phi-3 classifier, one Eve-Legal™ F5/reasoner trained on Eve-Genesis™ (Law Edition), three frontier slots composed per request. The reasoner owns the request; the frontier models consult.
Where a jurisdiction or client prohibits a specific provider, that provider is swapped without rebuilding the agent. Provider-agnostic by design.
Routes each request to the right depth — quick lookup versus deep investigation — in under a second. The first responder of the architecture; decides which downstream models compose for the query at hand.
The law reasoner. Trained on a synthetic reasoning dataset built from canonical law methodology — specifically the reasoning modes the discipline actually uses (analogical, abductive, dialectical). The orchestrator: scaffolds the reasoning structure, delegates sub-problems to the frontier slots as consultants, synthesises the final answer in the discipline’s idiom. No customer data in training.
Three frontier models composed dynamically per request — Opus for deep synthesis and judging, GPT for alternative reasoning paths, Llama 4 Scout for long-context analysis. Provider-agnostic by design; any model can be swapped without rebuilding the agent. The frontier models work for us, not the other way around.
We don’t compete with frontier labs on foundation-model capability. We compose frontier models into our reasoning systems. Eve-Genesis™ training data is 100% synthetic by construction — no customer conversation is ever used to train a model.
Bounded agency. Never full autonomy.
Agentic AI Operating Systems sit between low-agency helpers (Copilots, RAG chatbots) and high-agency autonomous agents (auto-GPT-shaped systems). They act, but the discipline’s expert remains the decider on every consequential output.
- 01
The product
An Agentic AI Operating System — a Digital Employee that does the work of cognition alongside the discipline’s human workforce.
- 02
The posture
Bounded agency. The OS acts within delegated authority. The human remains the consequential decider.
- 03
Why we can extend agency safely
Because the reasoning is trustworthy. Reasoning the team trusts because the team trained it.
- 04
Why the reasoning is trustworthy
Eve-Genesis. Reasoning-style conditioning. The reasoner is shaped in the discipline’s cognitive operations, not glued onto a generalist model.
The AI reasons. The attorney decides.
The attorney remains the consequential decider. The platform does the work of cognition that supports the decision. The line between agency and autonomy is drawn there, on purpose.
Intakes the case, structures the file, sequences the workflow, drafts the demand package, indexes the medical records, surfaces the case law.
Owns the matter, accepts the engagement, signs every filing, advises the client, exercises the attorney’s professional judgement.
The market sorts AI products into two categories. Helpers — Copilots, ChatGPT plugins, RAG chatbots — are useful but not products in the institutional sense. They assist; they do not run anything. Autonomous agents — auto-GPT-shaped systems, fully self-directing — are technologically impressive but procurement-unsafe in regulated verticals. The liability surface is unacceptable. The institutional buyer cannot deploy them.
MindHYVE sits in a third position. Bounded agency. Enough agency to be a real product — a Digital Employee that does the work of cognition. Bounded enough to be safe for deployment in healthcare, education, law, theology — verticals where autonomy is structurally unacceptable and helpers are inadequate to the job.
That third position is structurally hard to take. It requires reasoning the institution actually trusts. Eve-Genesis is what makes the trust earnable. Without the trust substrate, an institution can deploy a helper but not an operator. With it, an institution can deploy an operator that remains under human consequential control.
“Any litigator with JustineAI™ is equal to a top-tier white-shoe attorney. The case-reasoning quality that used to be locked inside elite firms is now in everyone’s hands.”
Built for legal procurement.
- Data discipline
No customer data used for training.
Eve-Genesis (Law Edition) — the dataset that fine-tunes the legal reasoner inside Eve-Legal F5/reasoner — is 100% synthetic by construction. Your firm’s data stays in your tenant.
- Privilege posture
Attorney-client privilege is preserved by design.
JustineAI™ is structured to operate under the supervision of the attorney of record. Outputs are work product. Audit logs record every reasoning step, decision, and revision.
- Cloud foundation
Deployed on Eve-Grid™ — Microsoft Azure.
JustineAI™ runs on Eve-Grid™, our proprietary cloud architecture on Microsoft Azure. The marketing site is hosted on Azure Static Web Apps; the PI application runs on Azure Container Apps, Functions, Cosmos DB, Storage, and Key Vault. ISO 27001, ISO 27018, SOC 1/2/3, PCI DSS, and HITRUST attestations are inherited at the platform layer from Microsoft Azure.
- Audit trail
Tamper-evident audit logs.
Every reasoning step, every output, every user action is logged to Azure Monitor with actor identity, timestamp, and action. Logs are retained for the agreed contractual period and exportable for litigation discovery and ethics audits.
- Accessibility
WCAG 2.1 AA conformance posture.
Every shipping surface targets WCAG 2.1 AA from day one. Accessibility is a launch criterion, not a roadmap item — keyboard navigation, screen-reader semantics, contrast ratios, focus indicators, and reduced-motion preferences are all built in.
- Jurisdiction
50 states plus DC.
PI jurisdiction rules are hand-curated for every US state plus DC. Ten top-PI states carry curated case-law citation packs anchored to CourtListener — no hallucinated case law.
The AI reasons; the attorney decides.
JustineAI™ produces structured analytical output with evidence presented openly, reasoning visible at every step, confidence calibrated, every citation grounded. The attorney of record decides what to file, what to argue, and how to advise. Structured workflows. Auditable by design. Work product, not advice — until you sign it.
Vertical depth on shared cognitive infrastructure.
One reasoning architecture. Four Eve-Genesis editions. Four genuinely-specialised Agentic AI Operating Systems running across four regulated verticals.
- Agentic Learning OS
ArthurAI™
For institutions that teach — K-12 districts, universities, vocational training authorities, corporate L&D.
Reasoning modesanalogical · Socratic · phenomenological
MottoVisit ArthurAI →The AI reasons. The educator decides.
- Agentic Healthcare OS
ChironAI™
For practices and health systems — reasoning-first clinical decision support and occupational medicine.
Reasoning modesabductive · analogical
MottoVisit ChironAI →The AI reasons. The clinician decides.
- Agentic Theology OS
TheoAI™
Evidence-grounded Islamic scholarship — every answer traces to a graded chain of transmission.
Reasoning modesdialectical · hermeneutic
MottoVisit TheoAI →The AI reasons. The scholar decides.
Each product is a genuinely-specialised reasoner trained on its own Eve-Genesis edition. Same architecture. Different cognitive shape. One company that can credibly serve institutions across four regulated verticals — because the methodology that produces each reasoner is shared, and the application of it is not.
One parent. Four shipped Agentic Operating Systems. One research corpus.
JustineAI™ is one of four Agentic Operating Systems in the MindHYVE.ai™ portfolio. Each product line is operated by its own per-vertical LLC, all wholly owned by MindHYVE.ai, Inc. The Eve-Fusion™ compound architecture, the Eve-Grid™ cloud, and the Eve-Genesis™ synthetic-data substrate are shared across every product.
- Agentic Legal OS
JustineAI™(this site)
For litigation practices — Personal Injury in market today, with workers’ comp, medical malpractice, mass tort, insurance bad faith, and employment class actions on the roadmap.
- Agentic Learning OS
ArthurAI™ →
For institutions that teach — K-12 districts, universities, vocational training authorities, corporate L&D. Four editions in market.
- Agentic Healthcare OS
ChironAI™ →
For practices and health systems — reasoning-first clinical decision support and occupational medicine. Two editions in market.
- Agentic Theology OS
TheoAI™ →
Evidence-grounded Islamic scholarship — every answer traces to a graded chain of transmission.
- Islamic Primary Source Corpus
IPSC™ →
Computationally-graded hadith corpus. 449,285 hadith from 86 classical works, every chain parsed, every narrator identified, every grade derived from documented inputs.
See JustineAI™ in your practice.
For PI principals, managing partners, and litigation operators evaluating reasoning-grade AI for their firm. Self-serve trial available for solo and small practices; sales-assisted for mid-size and enterprise.