Guide
AI contract review for law firms
What AI contract review actually covers, how much of it a serious tool takes over today, and what it can never take over. This page works through the definition, the capabilities you should expect and the criteria for choosing — then shows how AI Szerződéselemző handles each.
What is AI contract review?
AI contract review is software that automates the preparatory work of reviewing contracts. It reads the document, extracts the clauses that matter, compares them with the firm’s standard positions, flags the deviations and the missing protective clauses, and offers drafting suggestions — all in a form where every statement can be traced back to a specific point in the contract.
What it does not do: reach a legal judgement. It does not weigh the client’s commercial interest, it does not shape negotiating strategy, and it does not carry responsibility. That distinction is not a legal nicety — it is how the product is built. The system removes the repetitive, attention-hungry reading so that more time is left for the professional assessment.
The exact boundary
AI contract review automates the preparation, not the legal assessment. The software suggests and cites; the acting attorney reviews, decides and finalises.
In the Hungarian market one more condition applies: the contracts are written in Hungarian and interpreted under Hungarian law. A tool built on an English-language corpus performs worse on Hungarian text than it does in its own demo — which is why AI Szerződéselemző works on Hungarian-language contracts, tuned to a Hungarian legal corpus.
The expected minimum
What a serious tool has to do
Six capabilities, without which contract review is more impressive than useful — each next to how this system delivers it.
Work on the firm’s real files
A Hungarian-language contract uploaded as PDF or DOCX — not prepared demo data, but the file that actually arrives at the firm.
Extract the clauses
Parties, obligations, term, liability, termination and GDPR clauses identified and laid out in a structure you can scan.
Measure against the firm’s own standard
Risk flagged against the firm’s own playbook — its standard positions. It flags not only the clause that deviates, but the protective clause that is missing.
Produce text, not just a warning
Redlines and standard clauses in the firm’s voice, offered as a suggestion. The wording follows the firm’s drafting habits rather than a generic template.
Make every statement traceable
Question and answer on the document: the answer cites the specific clause it came from, so it can be verified in one move.
Leave the decision with the lawyer
The system prepares; the professional review, the decision and the responsibility remain with the acting attorney. That step the software deliberately does not take over.
Choosing one
Four questions worth working through
Whichever vendor you are talking to, these four questions decide whether the tool fits the way a law firm actually operates.
Where does the uploaded document go?
This is the first question, not the last. Establish where the model runs, who can access the file, how long it is retained, and whether the data can be exported. If the answer involves an external AI API, privileged material has left the firm — whatever the marketing material promises.
Does it learn your standard positions?
A generic risk checklist flags the same things for everyone. A firm, however, has its own position on limitation of liability, on notice periods, on confidentiality. The useful tool is the one that measures the contract against that — and notices the clause that is missing.
Is every statement traceable to a clause?
Without citations, every finding has to be located in the contract again — which spends exactly the time the tool was supposed to save. Verifiability is not a convenience feature; it is the precondition for the whole workflow.
Does the lawyer stay in control?
The right arrangement is one where the system suggests and the lawyer reviews, decides and finalises. A tool that implies it is delivering a finished legal position is not an expanded service; it is an exposure.
At a law firm, the first question is where the model runs.
Privileged client material cannot go into a public AI service. That is why AI Szerződéselemző is private AI: it runs on private EU hardware with no external AI API — or entirely on the firm’s own server. A data processing agreement, an audit trail and data export are part of the package.
How should a firm start?
Not with the entire contract portfolio. The rollout that works is the one that starts with one or two contract types — typically a non-disclosure agreement or a services agreement — because those are the ones the firm sees most often, and the ones a playbook comes together for fastest. The firm measures on its own files what the system finds and what it misses, and only then extends to another type.
- Pick one contract type that runs through the firm in volume.
- Write down the firm’s standard position on the key clauses — that becomes the playbook.
- Measure accuracy on your own files, not on demo data.
- Record who reviews the output — the sign-off stays with the acting attorney.
Frequently asked
The questions we hear most
Will AI take the lawyer’s work away?
No. AI Szerződéselemző is software, not a lawyer, and it was not built to replace one. It takes over the preparatory work — the reading, the extraction of clauses, the flagging of deviations — while the legal assessment, the decision and the responsibility remain with the acting attorney. The practical benefit is that the same hours cover more files.
Where does the uploaded contract go?
The system was built as private AI: it runs on private EU hardware with no external AI API, or entirely on the firm’s own server. The document is never sent to a public AI service and does not leave that environment. A data processing agreement, an audit trail and data export are part of the package.
What does it cost?
Indicative pricing is a per-firm monthly fee in three tiers — 490,000, 790,000 and 1,190,000 Hungarian forints — by seats and document volume, plus a one-off onboarding of 1,190,000 forints covering playbook setup, tailoring to the firm’s way of working and staff training. The fee covers more than software: the ATAILA private-AI platform and the finished contract-review application together, as a flat fee with no per-token billing. Pricing for the own-hardware edition depends on the firm’s existing infrastructure.
Do we need an IT person for it?
Not for the hosted edition: the firm subscribes and uses it from a browser. If the system runs on the firm’s own server, an IT contact is needed for operations, but the installation and the maintenance are handled by ATAILA.
What is a playbook?
A playbook is the firm’s standard positions written down: which limitation of liability it accepts, which notice period it considers acceptable, which confidentiality wording it expects, and which clause simply has to be present. The system measures incoming contracts against that, which is why it flags different things at a different firm.
Which contract type should we start with?
The one the firm sees most often — typically a non-disclosure agreement or a services agreement. Starting with one or two types produces results faster than covering the whole portfolio at once: the playbook comes together sooner, and the firm measures accuracy on its own files.
Does the system’s answer count as legal advice?
No. The output is software analysis and drafting suggestions, not legal advice, and it is not suitable for being treated as such. The legal position is formed by the acting attorney, who reviews the suggestions and carries the responsibility.
Further reading
Let us look at it on your contract.
Tell us which contract type takes up most of the firm’s time, and we will show you what the preparation looks like on it — according to your own standard positions.