This page explains how we build customized AI, firm by firm, case by case.
Learn why so many law firms around the world are using it.
Only 20.1% of Mexicans have ever hired a lawyer. Almost half say they would rather face the legal system alone than hire one. In 2025, business leaders ranked legal uncertainty as their #1 concern — the highest level ever recorded.
The technology to change this now exists.
We provide an alliance.
Alveia builds dedicated AI agents around your case file, your needs, and your specificities. It runs the analysis, and delivers a strategic brief for you to review — including, if need be, an adversarial risk assessment that honestly grades your opponent's strongest arguments. We draft the courthouse document itself, for your lawyer of record to review, sign, and file.
The client remains yours. The fee remains yours. The name on the document is yours. What the alliance changes is the depth and speed of the work behind it.
Since 2025, virtual employees (AI agents) built by Alveia have drafted dozens of briefs and strategies on live litigation — reviewed by human lawyers who then filed in Mexican courthouses.
From analysis of the order of direct award of property, writs of execution for delivery of possession, motion to void proceedings, appellate ruling on ejectment, to writing court filings for the assessment of default interest, disclosure of assets and attachment, service by affixing notice at the address, authorization to act on non-business days and outside court hours, and the appointment of a different court bailiff, our AI agents have been there to help.
The most recent matter shows how the alliance works in practice. A firm had won a civil case at first instance, then lost on appeal. Preparing the amparo directo, the team came to us: they sent the underlying contract, the trial judgment and the appellate ruling. The agent returned a full assessment of the odds of prevailing — the procedural route and whether the ordinary remedies had been exhausted; a principal claim of constitutional violation, on the ground that the appellate court mischaracterised the underlying contract and read it against its own text, in breach of the statutory rules of contractual interpretation; a subsidiary claim that the court had failed to address grounds of appeal it was bound to decide; a demonstration of why the error determined the outcome of the judgment; and the relief to be sought. Alongside it came the opposing party's strongest arguments, each graded and answered, and the questions of fact still to be verified in the record before anything is filed.
They brought the file to Alveia. The analysis and strategic brief resolved the question of how to attack the appellate ruling. The firm then asked us to draft the amparo filing itself — and after careful review, the owner of the firm filed it under his own signature, as delivered.
When we build an AI agent at Alveia, we're not writing software — we're writing a job description. Think of it exactly like hiring someone: you define the profile you're looking for, the tasks required, the environment for the job. If you tell a new employee “handle the marketing,” you'll get something back, but rarely what you wanted. Tell them what you need produced, how you want it done, what business they're operating inside, and show them one example of excellent work, and they perform much better. An agent works the same way, except it does it on the first minute of the first hour of the first day.
An agent is built by what's called a prompt — and a prompt is nothing more than a text structured by sections that define the architecture of the virtual employee. At Alveia, we've developed and refined our own blueprint for this: a standard six-section structure we build every agent against, so that quality never depends on who wrote it or what day it was written.
It establishes who the agent is: its expertise, the methods it works from, the credentials it carries.
Defines the one thing it produces, for whom, and to what standard.
Holds the rules and constraints — and the reasoning behind them, because an agent that understands why a rule exists will apply it correctly to situations we never anticipated.
Gives it the business it's working inside: the client, where it sits in the workflow, what its output feeds, and what a weak output actually costs downstream.
The highest-leverage section of all — real samples of excellent work, because these models imitate far more reliably than they follow written instruction.
Carries the final constraints: output format, language rule, scope guard, fallback behaviour.
What comes out isn't a chatbot.
An Alveia AI Agent can carry up to 2,000 words in its prompt. It's a specialist that performs to the same standard on the hundredth job as on the first — no off days, no drift, no retraining.
Once it exists it's a valuable asset — which is why we build a team of narrow specialists rather than relying on one generalist that's adequate at everything and excellent at nothing.
More cases, without hiring. Alveia does the heavy drafting and research. You review, correct if needed, and file. You take on more matters exactly as you are.
Every brief is tested against the strongest arguments the other side could make — before it is filed, not after.
The American Lawyer / Law.com surveyed every Am Law 100 firm and found at least 41 of the highest-grossing US firms putting generative AI to work, across legal work and business operations.
There is a reason the major international firms talk openly about using AI: clients read it as a sign of quality, and it wins them business. The same signal is available to your firm through this alliance. And if you prefer full discretion instead, that works too — the documents carry your name and nothing else. The choice is yours, and it stays yours.
Contact us.