Contract review automation that surfaces the terms that matter

Contracts hide their risk in dense language most people skim. Renewal dates, liability caps, auto-renew clauses, unusual termination terms, and payment obligations sit buried in pages of boilerplate, and the cost of missing one is real. Roiwerk builds AI that reads your contracts and surfaces what matters: key terms extracted into a structured summary, deviations from your standard positions flagged, and obligations pulled into a schedule your team can track. It is a reviewer's assistant, not a replacement for legal judgement, and we are explicit about that line.

The problem with reviewing contracts by hand

Contract review is slow, uneven, and easy to get wrong under time pressure. A busy team skims a supplier agreement, misses an auto-renewal buried in clause 14, and is locked in for another year. A sales contract goes out with a liability term nobody compared against the company standard. A renewal date lives only in someone's memory until it silently passes. The information exists in the document; the problem is that reading every contract closely, every time, does not scale with the volume most businesses actually sign.

It is also repetitive in a way that suits AI. Most contracts ask the same questions: what are the parties, the term, the value, the notice period, the liability position, the governing law, the key obligations on each side. A language model can read a contract and answer those questions consistently across hundreds of documents, turning a wall of prose into a structured summary a person can review in a fraction of the time. The human still decides; the AI just makes sure they are deciding with the important terms in front of them.

  • Buried auto-renewals and notice periods that pass unnoticed
  • Terms that deviate from your standard positions slipping through
  • Obligations and deadlines tracked only in someone's memory
  • Close reading that does not scale with contract volume

What the AI extracts and flags

The core build reads each contract and produces a structured summary: parties, effective and renewal dates, term and notice periods, contract value and payment terms, liability and indemnity positions, governing law, and the key obligations on each side. Instead of reading twelve pages, your reviewer reads a one-page extract with a link back to the exact clause behind every field, so they can verify anything in a click rather than trusting the summary blind.

On top of extraction, we flag. You give us your standard positions, the terms you are and are not willing to accept, and the AI marks where an incoming contract deviates: a liability cap lower than your floor, an unusual termination right, a payment term longer than you allow, a clause type you have told us to always escalate. This turns review from reading everything to focusing on the handful of points that actually need a human decision, which is where a lawyer's or manager's time is worth spending.

  • Structured summary of parties, dates, term, value, and payment terms
  • Liability, indemnity, governing law, and key obligations extracted
  • Deviations from your standard positions flagged automatically
  • Every field linked back to the exact source clause for verification
  • Obligations and key dates pushed into a tracker or calendar

Where it fits, and the line we will not cross

This is a review and triage tool, and we are careful about what it is not. It does not give legal advice, it does not decide whether to sign, and it does not replace your lawyer. What it does is make the human review faster and more consistent: it puts the important terms in front of the reviewer, flags the things worth a second look, and stops obligations from being forgotten. The judgement stays with your people, which is exactly where it belongs when the stakes are contractual.

That is why every build here is human-in-the-loop by design. The AI produces the summary and the flags; a person reads them and decides. Because the model can misread a clause, we link every extracted field back to its source so the reviewer verifies against the original rather than trusting the extraction. For high-stakes agreements, the AI is a first pass that speeds your expert up, never a gate that acts on its own. We would rather build a tool your team trusts than one that quietly oversteps.

Runs on your terms, and you own it

Contracts are among the most sensitive documents a business holds, so where they are processed matters. We design the pipeline around your data constraints, running through commercial LLM APIs under business terms or self-hosted and EU-based models where confidentiality and residency demand it, and we settle that before anything is built. The whole system runs in your accounts, and the extraction logic, the prompts, the standard positions, and the flags are yours to read and change. You are not renting a black box that has seen all your contracts; you own a tool that runs where you decide.

Key takeaways
  • AI reads contracts consistently and turns dense prose into a structured summary of the terms that matter.
  • It flags deviations from your standard positions and links every field back to its source clause for verification.
  • It is a human-in-the-loop review aid, not legal advice or an autonomous decision-maker; your people decide.
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Common questions
Does this replace our lawyer or give legal advice?+

No, and we are firm about that. It is a review aid that surfaces key terms, flags deviations from your standards, and tracks obligations, so your team reviews faster. It does not give legal advice or decide whether to sign. The judgement stays with your people; the AI just makes sure they are looking at the right things.

What if the AI misreads a clause?+

That is why we link every extracted field back to the exact clause it came from, so your reviewer verifies against the original rather than trusting the summary. The build is human-in-the-loop by design: the AI proposes a summary and flags, a person confirms. For high-stakes contracts it is a first pass that speeds up your expert, never a gate that acts alone.

Where are our contracts processed, given how sensitive they are?+

Wherever your confidentiality and data-residency rules require. We can run through commercial LLM APIs under business terms, or use self-hosted and EU-based models where that is needed, and we agree it before building anything. The whole system runs in your accounts, and you own the logic, so nothing about your contracts is fixed until you have decided where the data may go.

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