Fixed fee. Reviewed by a lawyer.
Why this exists
Contract review is never just about the document. It is about the deal behind it, the people waiting on it, and the time and cost involved in getting back a clean, workable version. We built an AI-native review service to make that process faster and more predictable: fixed pricing agreed upfront, turnaround measured in hours, and a named lawyer signing off on every deliverable before it reaches you.
Who this is for
Built for teams managing a constant stream of commercial contracts — especially in B2B SaaS, developer tools, vertical AI, fintech, IT services, and enterprise vendor-driven businesses. It is designed for in-house legal, procurement, sales, partnerships, and operations teams where contracts sit on the critical path every week.
Don’t see your contract type? Talk to us — we likely cover it.
Use cases
Your in-house lawyers are strong — but they spend too much time reviewing standard NDAs, vendor agreements, and procurement contracts that don’t need strategic judgment. We take the predictable volume off their desk so they can focus on the work that actually needs them.
You don’t have a legal team yet. Every contract goes to an external firm, costs are unpredictable, and turnaround depends on someone else’s schedule. We give you fixed-fee, same-day contract review — the quality of established legal practice, without the overhead of hiring or the unpredictability of hourly billing.
Your team processes dozens of vendor or partner contracts every month. Legal review is what slows the deal down. We turn contract review into a same-day workflow — send us the document, get back a reviewed redline and risk note, close the deal.
How it works
We start with our knowledge base — playbooks, clause libraries, and negotiation frameworks. We then layer in your commercial context: deal structure, counterparty profile, risk appetite. The result is a custom review agent that applies top-tier legal expertise to your specific situation.
Knowledge-base skills are trained, agent outputs are reviewed at every pass, until the output meets the standard of a top-tier commercial practice.
Every document comes back reviewed within a couple of hours — a full redline deliverable and a risk note. You communicate with us through email, WhatsApp, Slack, or wherever your team already works — at your convenience.
What powers every review
Speed alone is not a value proposition. What makes the output reliable is a legal engineering layer that we build, maintain, and continuously improve — so the AI operates inside the boundaries set by the lawyers on our team, not instead of them.
Playbooks, clause libraries, and negotiation frameworks built from cross-border commercial practice — encoding commercial patterns, risk profiles, and negotiation dynamics specific to your industry, not generic legal rules.
Mandatory checklists, constraint layers, multi-pass verification, and clause-level traceability. Every edit is anchored to a real provision or a documented rule. The AI cannot skip a step, invent a clause, or fabricate a reference.
Every review feeds back into the system. Accuracy is tracked, edge cases are logged, and the review process is refined. The service gets measurably better with every document.
A lawyer reviews every deliverable against our internal QA policies before it reaches you. The reviewer is named on every document. Nothing ships without human sign-off — that is the final gate, not the AI.
The deliverable
Every review comes back where your team already works — a Google Doc with suggestions and margin comments, or a Word .docx with tracked changes and inline notes.
The redline is the same either way: clause-level edits, a comment explaining each change, and a separate risk note from the lawyer on your account.
The risk memo
Every redline ships with a short risk note — the same structure every time. A summary, a risk level, a checklist of the points we looked for, the verdict on each one, and a one-line rationale behind every edit.
It is what your lawyer would write if they had the time. You read the top line, trust the redline, and get back to the deal.
Delivered where you already work
How we ensure quality
Our approach is grounded in legal expertise built through practice since 2011, and every output is reviewed by the lawyer on your account against our internal policies before it is delivered.
No deliverable ships without passing our internal review protocol. The lawyer on your account checks every redline and every risk note against our policies — the AI proposes, the lawyer decides.
Every review incorporates our institutional knowledge base and your specific commercial context — deal structure, counterparty profile, risk appetite. The output reflects real expertise applied to your situation, not a generic template.
We measure accuracy on every review, log edge cases, and retrain the system continuously. The service gets more precise the longer we work together — your knowledge base compounds.
Security and data protection
Aurum is built so client data never leaves our perimeter. Every matter — documents, drafts, agent reasoning, audit logs — lives on dedicated infrastructure we operate in Germany, encrypted in transit and at rest, behind ethical walls enforced at the database layer so that no matter's data can ever surface inside another. We use Anthropic's enterprise Claude API and OpenAI's enterprise API exclusively, never consumer tools, which means client inputs are contractually excluded from any model training and held under defined retention terms. A data processing agreement is available for every client engagement.
Where a client's data-residency or sovereignty policy requires it, we can route processing through EU-native large language models — such as Mistral — hosted entirely within the European Union, with no data crossing EU borders at any stage.
The platform is GDPR-compliant by design and on track for ISO 42001 (AI management) and ISO 27001 (information security) certification in 2027.
Aurum runs on dedicated servers located within the European Economic Area, physically hosted in Germany, and is fully compliant with the GDPR.
Aurum uses only enterprise Claude and OpenAI APIs. Client inputs are contractually excluded from any model training and never touch consumer tools.
Frequently asked
Trusted by teams that can't wait
