Standard contracts — leases, service agreements, supply deals, NDAs — make up the bulk of legal routine and, at the same time, its least creative part. AI in eObig, powered by Google Gemini, helps you draft such a contract from a plain description, pull details from a photo, check for risks before signing, and turn a finished text into a reusable template. Let's walk through practical scenarios for a lawyer and a law firm — and honestly mark where trust in the algorithm ends.
How much time standard contracts eat up
If you add up how many hours a month a lawyer spends not on complex disputes but on repetitive deals, the picture is discouraging. Each new lease or service agreement is usually assembled by hand from old versions: you copy the structure, manually swap the parties, amounts and terms, and reconcile details against invoices and statements. One such operation takes 30–60 minutes, and multiplied across dozens of documents it turns into several full working days.
The worst part is that this work adds no value for the client: they pay for legal expertise but mostly get typing. This is exactly where AI delivers the biggest effect — it removes the mechanical part and leaves the lawyer with the substantive decisions. For more on restructuring team processes, see our article on eObig for law firms.
Generating a contract from a description
Instead of a blank page, you describe the document you need in plain language, and the AI produces a structured draft — with sections, party details and standard wording. The description can be short and to the point:
Draft a car lease agreement between a sole trader and an LLC.
Rent — UAH 25,000/month, term — 12 months,
the car is returned in working order, late-payment penalty — 0.1% per day.
Within seconds you get a draft with the subject matter, the parties' rights and obligations, payment procedure and liability. From there the text is refined for the specific deal — with a command, again in plain words:
Add a clause on vehicle insurance at the lessee's expense
and an option for early termination with 30 days' notice.
The AI applies the edits while keeping the document's style. This approach is especially valuable for standard contracts, acts and letters that used to be reassembled from previous versions each time. The full list of capabilities is on the AI page and in the features section.
Details from a photo
A separate routine is copying a counterparty's details from paper. Received incorporation documents, an invoice or an extract? Take a photo of the original — and the AI recognizes the key data: party names, company code, addresses, bank details, amounts and dates — and inserts them into the document. Instead of manual typing and inevitable typos, you get filled-in fields right away.
This speeds up both onboarding new counterparties and creating contracts based on paper originals. The photo file is passed directly to the model and is not stored — an important detail when it comes to client documents.
Risk analysis before signing
Before applying your qualified electronic signature, it's worth checking the text once more. The AI reviews the contract and flags potentially problematic spots: unbalanced penalties, vague or contradictory deadlines, missing essential terms, one-sided provisions in the counterparty's favor.
Analyze this contract and flag the risky terms for the lessee:
liability, penalties, termination procedure, hidden payments.
This does not replace professional analysis, but it gives a quick "second look" — especially when a contract has been sent by a counterparty and needs to be assessed before signing. The lawyer sees what to focus on first and doesn't waste time reading through obviously standard sections. For how the exchange and signing process itself works, see how to conclude an electronic contract.
Reusable templates
Once a contract has been worked out, you don't have to generate it from scratch every time. The AI helps turn a finished text into a reusable template: the variable parts (parties, amounts, terms) are marked as fields, while the fixed structure is locked in. Next time you simply fill in the parameters — or describe a new deal, and the AI plugs them into your vetted template.
For a law firm this means a single quality standard: all standard contracts come from one verified base rather than a random old version from someone's computer. The same AI features — generation, editing, templating — are also available via the API: they run asynchronously, so they're easy to build into your CRM or internal system. Access to the partner API is granted on request.
The limits of AI: verify before signing
AI is a powerful assistant, but not the final authority. This is always worth keeping in mind:
- Results must be verified. Generated text, recognized details and detected risks may contain inaccuracies. Double-check the data before signing and consult a lawyer if needed.
- This is not legal advice. Risk analysis is a supporting tool, not a substitute for a professional opinion.
- Responsibility stays with the human. By applying a qualified electronic signature, you confirm the content of the document, so the final decision is always yours.
This approach — "AI proposes, the human decides" — gives you speed without losing control over quality.
Key Takeaways
- Standard contracts eat up hours of routine; AI removes the mechanical part of the work.
- Generation from a description produces a ready draft in seconds; editing is done with simple commands.
- Details are recognized from a photo, and files are not stored.
- Risk analysis is a quick "second look" before signing.
- A worked-out contract becomes a reusable template; the same features are available via the API.
- Verify everything generated: it's an assistant, not a replacement for a lawyer.
Next comes signing with a qualified electronic signature in the browser and exchange with the counterparty, while the client can sign via a link without registration.
Want to see AI on your own contracts? Book a demo, review the pricing, or try it yourself at portal.eobig.com.