JAMS TECH
Custom AI applications · Houston, Texas
Law practice
You have already mapped how your practice runs. We build what runs it.
Most firms do not have an AI problem. They have a which-problem-is-worth-solving problem — and that is the part you have already done. A process you can describe end to end is a specification. JAMS Tech turns it into working software the practice uses daily: not a pilot, not a chat window bolted onto the side of the work.
Two places AI pays for itself in a law practice
Intake that answers at nine on a Saturday night
New-matter intake that runs whether or not anyone is at the desk. It takes the call or the web form, asks your qualifying questions in your order, checks the names against your open and closed matters before anyone talks fees, books the consult, and hands you a written intake summary before you have opened the email. Matters that fit get captured instead of lost to voicemail; the ones that do not get a courteous decline.
First drafts built from the matter file, not from the last client’s document
Engagement letters, routine pleadings, and standard correspondence assembled out of the file itself — parties, dates, and facts already captured in the matter, drafted in your own templates and your own language, with every uncertain field flagged rather than quietly filled in. The software drafts; the lawyer decides.
A third, if the first two land: a matter-status agent that answers “where are we on my case?” out of the docket and the file. That is the call that costs ten minutes, breaks your concentration, and bills nothing.
How an engagement runs
We sit with the people doing the work and rank the opportunities by payback. You get a written recommendation — yours to keep either way.
Working software on your real matters. If it does not hold up here, you have spent weeks finding out instead of quarters.
The production application: integrations, access control, audit logging, and the unglamorous parts that keep it running after launch.
We run it for you, or we train your staff and hand over the keys. The code and the infrastructure are yours either way.
Privileged material stays privileged
Client files stay inside your own cloud tenant, under your own access controls, with an audit trail of every action the system takes. Nothing is shared, and nothing is used to train a public model. Where a matter cannot leave your walls, it does not — that is an architecture decision made on day one, not discovered six months in. Security architecture is the founder’s own discipline here, not a subcontract.
Jesse builds AI systems for industries where a mistake is expensive — healthcare, construction, and industrial services. His background is security architecture and data engineering. He works directly on every engagement: the person who scopes it is the person who builds it. Based in Houston, Texas.
Client names and engagement details are confidential. Happy to walk through specifics under NDA.
Not sure what AI should do for you yet? That is the normal starting point, and it is the conversation we are best at. One session, your actual workflows, an honest answer about whether there is anything here worth building.
Book a working session