Most trusts don't fail in court. They quietly decay in practice.
Missed reviews. Casual transfers. Undocumented compensation. Blended accounts. Over time, a carefully designed trust structure starts looking like an alter ego — and when a beneficiary, regulator, or court asks for proof that the trustee did their job, there's nothing to show.
I built is a governance platform built specifically for the person running the trust — not the attorney who set it up. The core features:
Enforcement at the point of action. The platform doesn't just remind you to take minutes — it blocks or flags distributions until documentation, solvency checks, and recusal steps are complete. This is the key architectural decision: governance that happens before the action, not after.
AI-generated minutes and resolutions. The AI drafts minutes in plain language tied to real actions — distributions, compensation, investments. The trustee reviews and approves. This solves the #1 reason trustees skip documentation: it's tedious and they don't know what to write.
Governance Health Score. A 0–100 metric consolidating minutes frequency, distribution documentation, compensation tracking, account separation, and review cycles. Trustees can see at a glance whether their trust would survive scrutiny.
Audit-ready records. When a bank, regulator, or beneficiary asks for proof, the platform produces a court-ready record in one click. Every action is logged with timestamp, user, and context.
Technical Decisions
Stack: React frontend, FastAPI backend, PostgreSQL, Railway for deployment. The AI layer uses structured prompts that map to action types — not free-form chat, but typed actions (distribution, compensation, investment) with constrained output formats.
The hard part wasn't the tech — it was the domain. Trust administration has specific concepts that don't map to generic SaaS patterns:
Distributions aren't just payments — they need justification, beneficiary class tracking, and recusal documentation
Compensation needs plan tracking, YTD calculations, and reasonableness tests
Account separation is a legal requirement, not a preference — commingling is the #1 way trusts get pierced
Every data model decision required understanding the legal context. I spent more time reading trust law than writing code.
What I Learned
1. The best users don't search for your category. Nobody searches for "trust governance software." They search for "trustee responsibilities checklist" and "what does a trustee have to do." Your SEO strategy has to target the problem, not the solution.
2. Enforcement > reminders. Early versions just reminded trustees to document things. They ignored the reminders. Blocking undocumented distributions changed behavior immediately. Software that prevents the mistake is worth more than software that reports it.
3. AI works best when it's constrained. Free-form chat with an AI assistant about trust administration produces confident-sounding nonsense. Tying the AI to typed actions with structured output — "draft minutes for this distribution of $5,000 to beneficiary X for education expenses" — produces useful, accurate results.
4. The market is invisible until you're in it. There's no Gartner category for trust governance software. No dedicated market report. But 4 million trusts and 300,000+ new trustees named each year is not a niche — it's an underserved market that doesn't know it needs software until the first beneficiary dispute.
What's Next
TrustOffice is live and serving individual trustees and small advisory firms. The next phase is expanding the AI capabilities — predictive compliance scoring, automatic beneficiary communication, and integration with tax preparation workflows.
If you're interested in legal tech, governance software, or building SaaS for underserved markets, the . $79/month, no free trial — because governance isn't a free sample.
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