AI where it saves hours. Not where it gets in the way

Drafting, document analysis and meeting minutes. With a lawyer in charge, always.

14-day trial · No lock-in

Artificial intelligence in a law firm is not measured in demos. It is measured in the hours a lawyer stops spending drafting the same email for the fifteenth time, reading forty pages to find the clause that bites, or typing up the notes from a two-hour meeting.

Mandato uses models from Anthropic (Claude), from OpenAI and from Mistral — the last of these served through Melious — in three specific places. In all three a lawyer reviews and signs. None of them decides anything.

What's inside

Three places AI works. And how it does.

Three providers, each where it performs best: a light model for routine work and Claude for the analysis that needs it. AI proposes; the lawyer decides.

  1. Drafting emails and documents

    Write the intention in one line and get a draft with the matter's parties, references and dates.

  2. Document analysis

    Upload a contract and get a map: which clauses to review, why, and on which page.

  3. Meeting summaries

    Record with consent and get the summary, the commitments and the tasks already created.

  4. Matter summaries

    The assistant answers about the matter from what's already in it: documents, emails, milestones.

  5. Bilingual by default

    The same document in Spanish or English — whichever language the recipient will read.

  6. Where it is processed, said plainly

    Your matters live in the EU; some AI processing happens in the US under SCCs. It is all in the DPA, provider by provider.

Whose AI this is

Three providers, named in full.

“State-of-the-art artificial intelligence” is not an answer. These are the models Mandato uses, what each one is used for, and which country it runs in.

  • Claude

    Anthropic

    Document analysis and complex legal work. Sonnet handles routine analysis; Opus steps in where a whole contract or a litigation strategy has to be held in view. Processed in the United States, under Standard Contractual Clauses and the EU-U.S. Data Privacy Framework.

  • GPT-4o mini

    OpenAI

    The routine, high-volume work: email drafts, meeting summaries and classification. Processed in the United States, under the same transfer basis as Anthropic.

  • Mistral Small 4

    Mistral AI · Melious

    The same routine tasks, served through Melious, a European gateway exposing open models hosted in the European Union. This is the route for routine processing that must not leave the EU.

Which of the two light models serves a given routine task is our configuration and may change; all three providers are in the data processing agreement with their location and their transfer basis, and that is where to check it. Marks belong to their owners.

The change

The same tasks, without the same hours.

Without Mandato
  • Drafting the email to the notary from scratch45 min
  • Reading 40 pages hunting the clause that bites1 h
  • Typing up the meeting notes30 min
  • Re-reading the whole thread to catch up20 min
on those four tasks≈ 2.5 h
With Mandato
  • A draft with the matter already in it; you sign it off5 min
  • Risks flagged, with their page numberMinutes
  • Summary and tasks created on the matterAs you finish
  • A matter summary when you open itA glance
reviewing and signing≈ 25 min
2 hours per batch, back

Indicative times: they depend on the document and the matter. The lawyer's review is never discounted — that's the part we don't want to speed up.

Drafting emails and pleadings

You write the intent in a line — "ask the notary for the draft deed and remind them of the deadline" — and Mandato writes the email with the matter's context already inside it: parties, references, dates and amounts.

The same goes for the pleadings and contracts a firm produces every week. Your templates carry fields filled from the client and matter records; the AI writes what the template leaves open, in the tone you have taught it.

In Spanish or in English. The same document, in the language its reader actually reads.

Document analysis, with the risks flagged

Upload a contract, a deed, a set of standard terms. Mandato reads it, extracts the parties, the dates and the amounts, and flags the clauses that deserve a second look: uncapped penalties, automatic renewals, submission to a foreign forum, lopsided warranties.

The output is not a verdict. It is a map: what each flagged clause says, where it sits in the document, and why it was flagged. The judgement is the lawyer's.

How documents are stored and found

Meeting summaries

Record the meeting — with the consent of those present — or upload the recording. Mandato returns a structured summary, the list of commitments with an owner and a date, and the tasks already created on the matter.

What disappears in practice is not the meeting. It is the half hour afterwards spent typing it up, which is almost never billed and almost always done late.

So why not just use ChatGPT?

It is the right question, and the honest answer starts by admitting that one of the models Mandato uses for routine work comes from OpenAI — the same company as ChatGPT. The difference is not the model: it is where what you do with it ends up living. There are three.

The first is context. A general assistant does not know who your client is, what stage the matter is at, or what was agreed on the call in March. You have to tell it every time, pasting fragments. Mandato's AI already knows, because it lives inside the matter.

The second is where what you type ends up. Pasting a deed or a client's passport into a consumer chat means taking personal data — often special categories of it — outside the firm's perimeter, with no processing agreement and no idea where it lands. That is a professional-secrecy problem before it is a data-protection one.

The third is what survives afterwards. A chat thread is not a matter file. An email drafted in Mandato is sent from Mandato and recorded there; the analysis is stored beside the document it analysed; the summary hangs off the meeting. None of that lives in a browser tab somebody will close on Friday.

What happens to your data

Your firm's matters — the database and the documents — are in the European Union. AI processing is a different thing, and it deserves to be stated separately rather than hidden under the same sentence: two of the three model providers, Anthropic and OpenAI, process in the United States under Standard Contractual Clauses and the EU-U.S. Data Privacy Framework. The third, Mistral Small 4 served through Melious, runs in the European Union.

We put it that way because it is the first question a firm asks about AI, and because the honest answer is still a good one: the processing happens under a processing agreement, with a contract behind it, inside the firm's perimeter, and with every query logged. That is exactly what does not happen when someone pastes a deed into a consumer chat.

What does not change with the provider: your data is not used to train models — neither ours nor the provider's — isolation between firms is absolute, and Mandato acts as processor and signs the corresponding agreement. Every AI interaction goes into the audit log: who ran it, on which document and when.

  • Matters and documents, in the European Union.
  • Analysis and routine work: Anthropic and OpenAI process in the US under SCCs and the DPF.
  • European alternative for routine work: Mistral Small 4 via Melious, in the EU.
  • Your documents do not train models, neither ours nor the provider's.
  • Data processing agreement available on every plan.
  • Every AI query is recorded in the immutable audit log.
Read the data processing agreement
The impact

The hours, back.

  1. 5min

    from intention to email draft, with the matter's context inside

  2. 42pages

    of contract with the risks flagged and located, in minutes

  3. 10h/wk

    recovered per lawyer from admin work — the founding firm's own figure

Drafting and analysis times are indicative; the weekly-hours figure is the founding firm's (Frank & Partners). Run your own numbers with the savings calculator

Frequently asked questions

Which AI model does Mandato use?

Three providers, and the task decides which. Document analysis and medium-complexity work go to Claude Sonnet, and complex legal analysis — a whole contract, a litigation strategy — to Claude Opus, both from Anthropic. Routine work — email drafts, meeting summaries, classification — is handled by a light model: GPT-4o mini, from OpenAI, or Mistral Small 4 served through Melious, a European gateway. Anthropic and OpenAI process in the United States under Standard Contractual Clauses and the EU-U.S. Data Privacy Framework; Melious, in the European Union. The choice of model is ours and may change. What does not change is that all three are in the DPA with their location, and that every query is recorded in the audit log.

Is the AI trained on my firm's documents?

No. Neither Mandato nor the model provider uses your firm's content to train models. Your data is processed to answer your request and is not reused for any other purpose.

Can the AI get things wrong?

Yes, which is why everything it produces passes a lawyer before it leaves the firm. A draft is a draft. A risk analysis tells you where to look; it does not settle the judgement. Mandato is built to shorten the work that precedes a decision, never to make it.

Can I turn the AI off?

Yes. AI features are enabled and disabled per firm and per user in settings. A firm can run Mandato as a matter, communications, document and billing system without a single AI feature ever executing.

Try it on a real document.

Upload a real contract and ask it for the first draft. Fourteen days' trial, with your matters in the EU and every AI provider declared in the DPA.

The demo opens in your browser — no account needed.

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