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Function · Legal & Compliance

Artellis builds a tool that flags the two clauses that matter, in plain English. Nothing auto-signs, you decide.

The pain

Why this one is worth fixing

You cannot read every clause of every contract, so you sign and hope. The interesting clauses, liability cap, IP, auto-renew, are exactly the ones a busy founder skims. Once a year, one of them bites.

What Artellis builds

Every incoming contract read against your standards, the two clauses that matter flagged in plain English. Nothing auto-signs.

How it works
  1. 01
    Reads the contract against your standards
    Your redline rules, liability cap, IP, term and jurisdiction, checked line by line.
  2. 02
    Flags what deviates, in plain English
    ‘Clause 7: liability capped at €5k (your standard: 12 months fees). Push back.’
  3. 03
    You decide
    Nothing auto-signs. You get the flags, the suggested edit and a paper trail.
Example artefact
What the output actually looks like.
ACME NDA · 2 flags
Reviewed against Artellis playbook v4
Clause 4 (term): 5 years. Your standard: 3. Suggest push back.
Clause 7 (liability cap): missing. Your standard: 12 months fees. Suggest insert.
Everything else: within your redline rules.
You edit and send.
Where it plugs in
DocuSign / PandaDocGoogle Drive / SharePointYour legal playbook / policiesEmail inbox
Guardrails
  • Human-in-the-loop: nothing sends, signs or spends without you approving it.
  • Your data stays yours, hosted in your tenant or a dedicated Artellis workspace, never used to train public models.
  • Week-one build: something small and useful is live in the first week, before we scope anything bigger.
FAQ
How long until we see something working?
A first working version of the legal & compliance tool inside week one. Refinement and rollout happen after you have seen it work against your real inputs.
What do you need from us to start?
About 45 minutes to walk through the current flow, sample inputs (emails, files, screenshots, whatever you actually work from) and one person on your side who owns the outcome.
What happens if the AI gets it wrong?
Every draft goes to a human before it leaves the building. When you correct it, the tool learns your standard so the next one lands closer to right.
Bring us this workflow
One workflow. One week. Something working.