Law, accounting, and consulting

The CRM for professional services firms.

Your business is billable relationships. When the client record, the engagement, and the invoice live in three different places, the work gets done and the money gets forgotten. GuardenerAI keeps all three on one record.

Sound familiar?

What this usually looks like today.

What changes

One system, doing the work with you.

Model the work you actually do

Custom objects, fields, and layouts let you track matters, engagements, or retainers properly — instead of bending your firm into a sales template.

Proposals that never go quiet

Stale engagements get flagged before they cool, and the assistant drafts the nudge from the record’s real history.

The assistant reads the file, not the internet

Summarize an agreement, pull key dates, or draft a client update — inside your own workspace, on documents you already hold.

Bill without switching apps

Invoices, AR aging, and a double-entry ledger live next to the client, so the money is as visible as the work.

See the product in detail

Client confidentiality, taken seriously.

Encrypted at rest and in transit, audit-logged, isolated per tenant, with default-deny roles and an audit trail no one can quietly edit. Your files are never used to train outside models.

Read the security details
FAQ

Questions from teams like yours.

Can it handle matters or engagements, not just deals?
Yes. Custom objects, fields, and layouts are available from the Base plan, so you model matters, engagements, or retainers as first-class records.
Does it replace our accounting software?
For invoicing, AR, and a double-entry ledger tied to clients, yes — that is the Pro plan. Firms with complex tax or payroll needs usually keep their accountant’s tooling for filing.
How long does it take to switch?
Most teams import contacts and are working in it the same afternoon. Import, export, and attachments are included on every plan.

See it on your kind of work.

Start free in an afternoon, or have us walk you through it with data that looks like yours.

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