About Majors.ai
Business consulting, AI strategy, and marketing with client protection first.
Dominic “Dom” Majors, Esq.
Active, licensed attorney · Founder of Majors.ai
Majors.ai works with businesses across industries and locations on strategy, marketing, operations, and AI adoption. We connect customer acquisition to the systems that deliver your services: inquiry routing, information handling, reporting, and follow-up. Agentic integration is part of that work, with limited permissions and human accountability rather than unrestricted automation.
Majors.ai was founded by attorney Dom Majors, who practices in multiple jurisdictions and has built legal-technology products including Bankruptcy.ai. Our services include full business and AI consulting, marketing and SEO, and custom software development. Legal technology informs our experience; it does not limit the businesses we serve.
Why Majors.ai exists
Because disconnected systems get in the way of serving clients.
A customer inquiry arrives, information gets retyped, documents are chased, and status updates scatter across inboxes. Those handoffs affect businesses well beyond law. Our work starts by understanding the process, deciding what should change, and identifying where automation is appropriate rather than assuming every task belongs with AI.
Majors.ai was built by an attorney who felt that pressure inside his own practice. The company exists to bring that operational perspective to businesses broadly, while keeping professional judgment, client relationships, and responsibility with people.
Who we serve
Businesses across industries, stages, and locations.
New and growing businesses
Owners connecting strategy, marketing, and operations before fragmented tools become the default.
Established organizations
Teams modernizing carefully while preserving useful processes and institutional knowledge.
Multi-location teams
Businesses aligning service delivery, customer handoffs, and reporting across locations.
Professional services, including law
Organizations where confidentiality, professional obligations, and human judgment shape how AI may be used.
How we work
Gradual and parallel — never rip-and-replace.
We start with the systems your business already depends on. New workflows run in stages beside them, with responsibilities, approvals, and data-handling requirements agreed first. Early testing uses synthetic or redacted information rather than exposing confidential records to an unverified tool.
Your team compares results against agreed acceptance criteria before adoption. Access can be limited or revoked, consequential actions require approval, and a failed pilot is a reason to revise the design rather than expand it. Client protection takes precedence over a launch date.
Client protection / Before automation
Zero data retention is a requirement to verify, not a slogan.
Our consulting standard puts client confidentiality first. For sensitive AI processing, we require verification of zero-data-retention terms for the specific provider, model, endpoint, and configuration before recommending deployment. A promise not to train on your data is not the same as a promise not to retain it. If a workflow cannot meet the agreed protections, we redesign it or keep sensitive data out.
Protection extends beyond the model: minimize and redact inputs, restrict access, review subprocessors, and define what applications, logs, backups, and business records may retain. Agentic integrations need narrow permissions, human approval for consequential actions, and a way to pause or revoke access. Professional judgment stays with people; legal workflows remain attorney-supervised and AI does not give legal advice.
This describes our engagement requirements, not a claim that this website has zero retention. Website chats are saved and shared with the Majors.ai team for follow-up; inquiry details are retained for follow-up too. Do not submit confidential client information, credentials, or sensitive records here.
Ethics and supervision
AI does not give legal advice. Attorneys do.
A lawyer cannot delegate legal advice to a non-lawyer, and software is no exception. Every system we design operates on the work around the advice: gathering information, organizing documents, extracting and summarizing what a reviewer needs, tracking what happens next. The analysis, the recommendation and the responsibility stay with the licensed attorney supervising the matter.
That principle shapes practical decisions: what data a system is permitted to touch, how client confidentiality is preserved, where a human approval is required before anything reaches a client or a court, and what record exists of who reviewed what. We would rather build a narrower system that a bar regulator would find unremarkable than a clever one that puts a license at risk.
The portfolio
Platforms we designed, built and operate.
These are our own products. They are the reason our guidance on intake, documents and attorney review is specific rather than theoretical — each one had to survive real users and real professional obligations.
Bankruptcy.ai
Flagship platform for bankruptcy practice: intake, document organization, readiness review and export to petition software, under attorney supervision.
TaxDebtRelief.ai
Guided information and intake for people facing tax debt, organized for professional review.
DebtHelp.ai
Self-help software. It never collects, holds or disburses funds, and never contacts creditors on a user's behalf.
SchoolYear.ai
The same workflow and information-gathering approach applied outside of legal practice.
AccidentLawyer.ai
Intake and information workflows designed for personal injury practice.