Sectors/Legal

Legal AI,
in your own
environment

Harvey, Legora, OpenAI and Anthropic are expensive, slow to roll out, and hard to fit to how a practice works. MytyTech builds a custom harness inside your own environment instead — more secure, and your data is never used to train a model.

Our non-negotiables
Firm boundaryMatter fileNotesPrior workAttorney reviewAudit logShared cloud
Your model

Why not an off-the-shelf tool

Harvey, Legora, OpenAI and Anthropic, or a harness of your own

The big legal AI tools are built for every firm at once. MytyTech builds a harness for yours, inside your own environment.

01 · CostOne build, a flat costHarvey, Legora, OpenAI, Anthropic: Per-seat licences keep adding up as more of the firm uses it.MytyTech: You pay for the build, then run on models you host at a cost you can forecast.
02 · TimeLive on a matter by week twoHarvey, Legora, OpenAI, Anthropic: A long rollout, then months of training before it fits how the practice works.MytyTech: Engineers sit with the matter team and put the first harness live on a matter by week two.
03 · Ease of useBuilt around how you workHarvey, Legora, OpenAI, Anthropic: One general tool your attorneys have to learn and work around.MytyTech: A harness built around the tasks your team already does, in the tools it already uses.
04 · Your dataYour matters never leaveHarvey, Legora, OpenAI, Anthropic: Matters are sent to the vendor's cloud to be processed.MytyTech: Everything runs in your own environment, and your data is never used to train a model.

The engagement

Four non-negotiables

Set when the studio is retained. They hold for as long as the engineers are with the practice.

Client work, in production

We helped build Courtroom

MytyTech engineers helped build Courtroom, a litigation workspace where trial teams question AI jurors and judge personas, and watch a shadow jury react to a real trial transcript.

Built by MytyTechThe studio helped build the system. Trial teams use it to prepare for trial.

On the practice

Custom software, delivered for legal teams

The same four non-negotiables, on the tasks counsel already does.

On the practice
Practice / build log01 / 04

01 / Prepare

Research that cites the file

Research and chronologies that cite the file in front of you. If the harness cannot point at a source, it does not answer.

02 / Review

First-pass review, in-house

03 / Draft

Drafts from your own precedent

04 / Simulate

Strategy and juror prep

The first two weeks

Listening first, production by week two

A typical engagement. Yours is scoped on the first call.

Engagement plan / weeks one and two·Day by day

  1. Days one to two

    Sit with the matter team

    Map how the work actually runs, where the files live, and who may see what. Pick the first task to harness.

  2. Days three to five

    Stand up the boundary

    A local model running in your cloud or on your machines, with access tied to the matter team.

  3. Week two

    Build and test the harness

    Built on closed matters, measured against the standard your attorneys already hold work to.

  4. End of week two

    Live on a matter

    The supervising attorney signs off, and the harness goes to work on a current matter.

Evidence, not claims

Measured on your matters

Vendor benchmarks show how a model does on someone else's work. Before anything touches a live matter, we test it on yours, and a lawyer decides whether it passes.

  • Your matters, not a demo setTests are built from closed matters with known outcomes.
  • Lawyer-ledThe pass mark is set, and checked, by the attorneys who own the work.
  • Grounded in real tasksResearch, review, drafting, and simulation as the practice does them.
Evaluation run / closed matters0/4 passed
  • Research

    Queued

    Closed matters with known answers

  • Review

    Queued

    A sample counsel has already coded

  • Draft

    Queued

    Your forms and precedent

  • Simulate

    Queued

    Past hearings and verdicts

Testing on closed matters · 0 cases checked

Retain

Put the studio on the practice

Tell us how the work actually runs. We will scope the engagement, the boundary, and where a local model pays for itself.

Or write to the studio
Monthly Digest

MyTyTech Newsletter

AI insights, blogs, case studies, software tips & events - delivered monthly.

  • AI insights & deep dives
  • Engineering case studies
  • Curated software tips
  • Upcoming events & launches
No spam, ever
Unsubscribe anytime1-click opt-out
logoMyTyTechLabs

We craft intelligent web, mobile, cloud, and AI/ML products that help startups and enterprises move faster, smarter, and at lower cost.

Information

Sectors

Get in Touch

support@mytytech.com
Globally distributed team
Schedule a call

© 2026 MyTyTech Labs.

PrivacyTerms