Contract Risk

‘Consider it done’ can become the contract.

A quick yes in an email, "we agree, consider it done", can be enough to form a binding commitment. VerbaPulse flags binding-by-email language and offers a measured rewrite before the message sends.

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The problem

A casual yes can be a contract

Contracts do not need letterhead or a signature block. An exchange of emails where one side accepts terms can be enough to bind a party, and courts have enforced deals formed in exactly that way. The risk is the everyday reply: yes we agree, consider it done, you have my word.

The writer means to be responsive and reassuring, not to sign a contract. But the words do the work, and once the message is sent, walking the commitment back is expensive.

What it catches

The language that turns a yes into a deal

VerbaPulse reads the draft as it forms and flags the span that creates the exposure, with a plain reason. Real output from the product:

VerbaPulseHigh

"Yes, we agree to all the terms in your draft, consider it done and binding."

Binding-by-email language

we'll proceed with the next steps as discussedReplace

Phrase-level, in the writer's voice. The point survives, the risky version does not.

The same check covers the related patterns:

Acceptance language: "we agree to all the terms", "that works for us".
Finality phrasing: "consider it done", "it's binding", "you have my word".
Personal undertakings made casually on behalf of the firm or client.
Open-ended commitments: "we'll sign whatever you send".
Your own rules: upload your communications policy and VerbaPulse enforces it on every draft.

How it works

In the inbox your team already uses

Install in minutes

The Outlook add-in deploys org-wide through the Microsoft 365 admin center, and the Chrome extension covers Gmail. No new tab, no change to how the team works.

Write as usual

As the draft forms, a risky span is flagged with severity and a plain reason, so the writer sees the exposure in the line they just wrote.

Fix before it sends

Apply the safer wording, or remove the line, while the message is still a draft. Anonymized events feed an audit trail your team can show.

Where this fits

A writing-time check, not contract review

VerbaPulse does not review contracts or run your contract lifecycle process. It catches the binding language in the draft, while the wording can still change, so an accidental acceptance does not leave in writing before the deal is actually meant to close. It is one control inside email compliance for legal teams, and it complements the systems you already run.

Email content is never stored: drafts are analyzed in memory and discarded immediately.
Nothing is used to train AI models.
The audit trail is anonymized by design: risk types, severities, and outcomes, never message text or named individuals.
It keeps the writer's intent, so a responsive reply still goes out, just without the unintended commitment.

For the evidence behind this, our language risk benchmark runs real, anonymized cases through the product and reports what it flags.

FAQ

Common questions

Can an email really form a binding contract?

Yes. Where there is an offer, acceptance, and the other usual elements, an email exchange can create a binding agreement, even without a formal signed document. A reply that accepts terms or says "consider it done" can be enough. This page describes language risk and is not legal advice.

How does VerbaPulse help?

It flags binding-by-email language as it is written and offers a measured rewrite. For example, "consider it done and binding" is flagged as binding-by-email language, with a rewrite to "we'll proceed with the next steps as discussed".

Does it replace contract review?

No. Your contracting process, review, and approvals still apply. VerbaPulse adds the earlier layer: it catches an accidental commitment in the draft, before it becomes a problem to unwind.

Is email content stored anywhere?

No. Drafts are analyzed in memory and discarded immediately. They are never stored and never used to train AI models. The audit trail keeps anonymized risk events (type, severity, action taken), never message text and never named individuals.