Writing Terms of Service and a Privacy Policy for a Micro SaaS Without a Lawyer

This is not legal advice, and nothing in this post should be treated as a substitute for an actual lawyer reviewing your specific situation — for anything involving real regulatory exposure (health data, financial data, or a product operating at meaningful scale across multiple jurisdictions), paying for a real legal review is a genuinely reasonable cost, not an optional extra. What follows is a practical account of what a solo founder without a legal budget actually put into a Terms of Service and Privacy Policy for a small SaaS product, and the specific gap a real support ticket exposed months after launch.

Why "without a lawyer" doesn't mean "without care"

A small micro SaaS with a modest user base and no sensitive data categories (health records, financial account details, biometric data) genuinely has a different risk profile than a larger company handling regulated data at scale, and that difference is what makes a careful, template-informed approach reasonable at this stage rather than reckless. The moment any of those higher-risk categories enter the picture, or the product starts operating at a scale where the cost of getting something wrong is genuinely large, that calculus changes, and a real legal review stops being optional. Knowing which situation you're actually in, honestly, is the first and most important judgment call in this entire post.

What a Terms of Service actually needs to cover

• What the service is and isn't — a plain description of what's actually being provided, which matters more than it sounds like it should, because a vague description makes every other clause harder to enforce or interpret later.
• Account responsibilities — who's responsible for keeping login credentials secure, and what happens if an account is compromised through no fault of the service itself.
• Payment terms — billing cycle, refund policy (or explicit no-refund policy, stated clearly rather than left ambiguous), and what happens on a failed payment.
• Termination conditions — under what circumstances either party can end the relationship, and what happens to a customer's data when they do.
• Limitation of liability — a clause capping the service's financial liability in the event something goes wrong, which is standard practice across virtually every SaaS product and exists specifically to prevent a single dispute from being financially catastrophic for a small operation.
• Governing law and dispute resolution — which jurisdiction's laws apply, and how disputes get resolved, ideally specified clearly rather than left to be figured out only if a dispute actually happens.

A reasonable starting point is a well-regarded open template from an established SaaS-focused generator, read fully and edited to accurately reflect what the actual product does — not accepted as boilerplate without reading it, since an inaccurate clause describing functionality the product doesn't actually have is arguably worse than no clause at all, because it creates a false expectation that could itself become a dispute.

What a Privacy Policy actually needs to cover, and why it can't be copy-pasted blindly

Unlike a Terms of Service, a Privacy Policy has to accurately reflect the product's real, specific data practices — what's actually collected, why, and where it actually goes — which makes it the one document in this post where copying a template wholesale without careful editing is a genuine, concrete risk rather than just imprecise. A generic policy claiming a category of data isn't collected, when the product's actual analytics tool does in fact collect it, is a factually false statement in a legal document, which is a meaningfully different and worse problem than a Terms of Service clause that's just generic and boilerplate.

• What data is actually collected — account information, usage analytics, payment details (even if only processed through a third-party billing provider and never stored directly).
• Every third-party service that touches customer data — the billing provider, the analytics tool, the email service, the error-tracking tool — named specifically, since each one is a place customer data actually flows to, and a Privacy Policy that doesn't disclose this is inaccurate by omission.
• How long data is retained, and what happens to it after account deletion — a specific, concrete answer, not a vague "as needed" that doesn't actually commit to anything checkable.
• How a user can request their data, correct it, or have it deleted — a genuine right in most modern privacy regulations, and a clear, actionable process here saves real time later, which the next post in this pair covers directly from the receiving end of exactly this kind of request.

The gap a real support ticket exposed

Roughly four months after launch, a support ticket asked a specific, reasonable question the original Privacy Policy hadn't actually answered: "if I cancel my subscription, how long do you keep my data before it's actually deleted?" The policy, adapted from a generic template, said data would be "retained as necessary" — technically true, and functionally useless to a customer trying to understand what actually happens to their information. Answering the ticket honestly required first deciding what the actual internal policy should be (30 days after cancellation, to allow for accidental cancellation recovery, then permanent deletion), which hadn't previously been decided as an explicit rule at all — it had just never come up. The Privacy Policy got updated immediately afterward with the specific, concrete number, and the underlying lesson generalizes: a vague clause isn't just a legal risk, it's often a sign the actual internal practice was never decided in the first place, and a customer question is sometimes what forces that decision to finally get made explicitly.

Keeping both documents in sync with what the product actually does

The practical failure mode with both documents isn't usually the initial drafting — it's drift over time, as the product adds a new third-party integration, changes its data retention practice, or adds a new billing option, without anyone circling back to update the Terms of Service or Privacy Policy to reflect it. A simple habit that's worked well: any time a new third-party service that touches customer data gets added to the stack — a new analytics tool, a new email provider — updating the Privacy Policy becomes a required, non-optional step in that integration's rollout checklist, not an afterthought remembered (or not) at some later point. Treating a legal document update as part of a technical change's actual definition of done, rather than a separate task that competes for attention later, is what's kept these two documents from drifting the way the original data-retention gap shows they easily can.

What we'd tell a solo founder about to do this for the first time

• Start from a reputable, SaaS-specific template, not a generic one built for an unrelated kind of business, and read every clause rather than accepting the whole document unedited.
• Every claim in the Privacy Policy specifically needs to be true, concretely, right now — vague hedging language isn't a safe default, it's often a sign an internal decision hasn't actually been made yet.
• Treat both documents as living, not one-time, and tie their updates to actual product and infrastructure changes rather than hoping to remember to revisit them periodically on no particular schedule.
• Get a real legal review the moment the product's risk profile changes — meaningful scale, sensitive data categories, or multi-jurisdiction operation are all points where a template-based approach stops being a reasonable trade-off.

If a data request like the one that exposed the retention gap above ever escalates into a formal request under a real privacy regulation, handling my first GDPR data request as a solo founder covers exactly that scenario in detail, and if you're still deciding which billing provider to route customer payment data through in the first place, that choice is covered in Stripe vs Paddle vs LemonSqueezy.

Cookie and tracking disclosure: a section that's easy to under-scope

A separate section worth calling out specifically, because it's commonly under-scoped even in otherwise reasonably careful templates: disclosure of cookies and similar tracking technologies, which needs to cover not just cookies your own code sets directly, but anything set by an embedded third-party script — an analytics tool, a support chat widget, an embedded video player. Auditing this honestly meant opening browser devtools against the live product and checking exactly what cookies were actually being set, by what, rather than trusting a mental list of "the tools we deliberately integrated" — one embedded widget turned out to be setting a tracking cookie for a feature (a "recently viewed" carousel) that had been added, then quietly removed from the product months earlier, with the underlying script never actually uninstalled. A cookie disclosure section is only as accurate as the last time someone actually checked what's really being set, not what's assumed to be set based on memory of what was deliberately added.

A cancellation and refund clause, revisited after a real dispute

The original Terms of Service included a blanket "no refunds" clause, copied largely unedited from a template, without much thought given to how it would actually hold up against a real, specific dispute. That dispute arrived a few months in: a customer was charged for a renewal the day before cancelling, genuinely believing the cancellation would take effect before the renewal charge, and asked for a refund of that one specific charge. The strict letter of the original policy said no. The actual decision made was to refund it anyway, as a one-off judgment call, and then — more importantly — to rewrite the clause afterward to state clearly and specifically what happens in exactly this situation, rather than leaving a blanket rule that didn't actually reflect how disputes were realistically going to be handled in practice. A policy that doesn't match how you'd actually behave when a real, sympathetic edge case shows up isn't doing its job — it's just deferring an inevitable, ad hoc exception to a moment when you're least prepared to think it through calmly.

What actually took the most time in practice

Contrary to the initial expectation that drafting the legal language itself would be the hard part, the more time-consuming work was almost entirely the audit — actually checking, system by system, what data really gets collected, where it really goes, and what the real internal practice actually is for retention and cancellation, rather than writing the sentences describing it once that groundwork was done. The writing itself, once the underlying facts were actually established, took an afternoon. Establishing the facts accurately took considerably longer, which is worth setting real expectations around before starting: this isn't primarily a writing exercise, it's primarily a "figure out what you're actually doing" exercise that happens to end in a written document.