CURRENTLY BOOKING · Q3 2026

Custom AI,
built for in‑house legal.

Virtualaw designs and builds AI systems for legal teams. Six to sixteen weeks, start to finish. Everything in writing. You own the code when we're done.

EngagementFixed scope, fixed fee
Discovery2 weeks
Build6 to 12 weeks
You receiveWorking system + manual
The codeYours
After handoff30 days of support
Security reviewAnswered in writing
Your dataNever readable by us
AI outputA lawyer signs off first
// your documents in, reviewed work out
§ 01 / approach

Three phases. A working demo every week. Everything in writing.

phase.01

Discovery

Two weeks to define what we'll build, what it must get right, and where the risks are. Then we decide together whether to build at all.

2 weeks · fixed fee
phase.02

Build

A working demo every week, measured against the test plan we agreed in discovery. You watch the system earn your trust.

6–12 weeks
phase.03

Handoff

You get the working system, the code, the manual, and thirty days of support. Your team owns it from day one.

1–2 weeks · production
§ 02 / what we build

What we build, sized for legal teams of two to ten.

DISTRIBUTOR · TEAM OF 6TYPICAL BUILD

Contract triage agent

Reads every incoming contract, flags the risks, and routes it to the right lawyer.

0w
Build window
~0
Agreements / mo
MANUFACTURER · TEAM OF 8TYPICAL BUILD

Outside counsel invoice review

Checks every law firm invoice against your billing guidelines and drafts the pushback memo for flagged lines.

0w
Build window
~$0k
Flagged, first year
BOUTIQUE FIRM · TEAM OF 7TYPICAL BUILD

Billable hour estimator

Reads your past matters and estimates the hours and cost of a new one before you quote it. Fixed-fee pricing without the guesswork.

0w
Build window
<0min
Per matter estimate
INJURY FIRM · TEAM OF 5TYPICAL BUILD

Damages calculator

Builds the damages model straight from the case file: medical bills, lost wages, multipliers, every number traced to its source document.

0w
Build window
<0hr
Per damages model
IMMIGRATION FIRM · TEAM OF 3TYPICAL BUILD

Client document retrieval

Requests, reminds, and collects the documents each matter needs from your client: secure uploads, automatic follow-ups, no chasing emails.

0w
Build window
~0%
Docs back within 72h
PLAINTIFF FIRM · TEAM OF 6TYPICAL BUILD

Affidavits from AI voice interviews

An AI voice agent interviews your client by phone, in their language, on their schedule, and drafts a testimony affidavit from the transcript. A lawyer reviews it with the client before anything is signed.

0w
Build window
~0min
Client interview
0+
Languages

// representative builds: numbers are typical targets we design to, not client claims

Discovery to handoff
6–16 weeks
Systems in production
0
Code owned by clients
0%
First working demo
week 1
§ 03 / security

The questions your security review will ask, answered before the call.

Where does our data live?In your systems or ours. Decided up front, in writing.
Which AI providers do you use?Named before we start. Replaceable if you change your mind.
Can Virtualaw read our documents?No. Your documents stay encrypted in your systems. We never hold a readable copy, and neither do the AI providers.
Is our data used to train AI?Never.
Can the AI send anything to a client?No. A lawyer reviews and approves every AI draft before it reaches a client or a proposal.
Who can access our systems?As few people as possible, every access logged. It all ends at handoff.
Who owns the finished system?You do. Code, documentation, and tests included.
What about contracts?Standard data protection terms, available before we start.

If your security review needs an answer this table doesn't give, we answer it in discovery, before you sign anything.

§ 04 / principle
We build systems that produce work product a partner would sign their name to.
// internal memo 002 · operating principle

The next system you ship should be yours.

Start with a tech stack audit. Tell us what your team runs today, and we'll send back a preliminary proposal of what's worth building. If you like what you read, we book a discovery call.

01 tech stack audit 02 preliminary proposal 03 discovery call