Straight answers to what firms ask us.

We are a legal engineering firm in Fort Worth, Texas that helps law firms get ready for AI the right way. We sell one thing above all: a firm that understands itself. Before any AI touches your work, we extract how you actually operate, organize it, and make it legible, and only then do we build.

The order:extract, organize, understand, then let AI work, then implement. Skipping the first three steps is why most firm AI efforts stall.

Most vendors sell you a tool and hope it sticks. We start with your firm, not the software, and we are honest about what to keep human. Our founders sit on both sides of the table: Christian is a dual-licensed attorney who has also built the engineering, and Meagan runs the adoption work that makes change actually take hold with a team.

We also tell you what not to automate, which is not a sentence you hear from a company paid to automate things.

No. The whole point of legal engineering is that you bring the legal judgment and we handle the technical layer. You will never be asked to write code or configure a model. If a term ever feels like jargon, that is our job to fix, and the vocabulary section below is our attempt.

Solo attorneys and small firms are our home ground. That is where the tools are thinnest, the stakes are personal, and a small change in how the firm runs shows up quickly. We meet you at the size you are, not the size a platform wishes you were.

Home base is Fort Worth, Texas. Geography is not a limit: the interview and audit work happens one-on-one and can be run remotely, so we work with firms beyond Texas. If you are nearby, we are happy to sit across an actual table.

Law firms are our focus and where our experience runs deepest. The discovery method itself is not law-specific, though: any organization whose real knowledge lives in people’s heads has the same problem, and we have already run this work for our first client outside law. If that is you, ask.

Lantair is our voice-discovery interview, the extract step of the process. It is a guided, one-on-one conversation that draws out how you and your colleagues actually practice: the steps, the judgment calls, the things everyone knows but no one wrote down. Those separate conversations are then combined into one firm-wide picture.

See it:the full walkthrough lives on the Lantair page.

Yes, and candor is the point. Lantair is built to hear how you really work, including the messy parts, because that is where the useful detail lives. Nothing you say is used to grade you; it is used to map the firm so the systems we build later fit the way you already think. And your data stays confidential: nothing is used to train public AI models, sensitive work can run on local models on your own machines, and everything is covered by our confidentiality terms -- with HIPAA/DPA and a BAA available on request.

What you share becomes the raw material for your firm-wide picture and, eventually, your SOPs and workflow maps. We treat it as confidential firm knowledge and keep client data protected throughout. It belongs to your firm, not to a platform.

A Lantair session runs about 30 to 90 minutes per person, depending on how much ground your role covers. It is one focused conversation, not a standing commitment on your calendar.

No. Lantair interviews each person on their own schedule rather than a shared calendar, and it can hold the conversation in the language they are most comfortable in. Nobody has to translate their own work or rearrange their week to be heard.

Everyone whose work shapes the firm, each in a separate one-on-one. A partner and a paralegal see different parts of the same matter, and both views matter. We combine them into a single picture rather than assuming the top of the org chart knows how the bottom actually runs.

The AI Readiness Audit is the deliverable that comes out of the process. You get documented SOPs, workflow maps of how your firm operates, a set of working skills, plugins, and connectors built from your own workflows, and a scored report telling you where you stand.

More detail:the Audit page breaks down each piece.

Yes. It is yours to keep, full stop. The audit answers “should we do this?” and stands on its own, whether or not you ever ask us the next question. You walk away with real, usable artifacts, not a sales pitch with a hole where the value should be.

No. What you get works with whatever AI platform you choose. There is no proprietary box you have to keep paying us to open. The point is a firm that understands itself, and that understanding travels with you.

The score turns a fuzzy feeling into a number you can act on: it tells you how ready your firm is today and where the weak links are. It is a starting map, not a grade. It shows what to shore up before automating anything, and what is already solid enough to build on.

We do not publish pricing, because the right scope depends on your firm's size and how much ground the interviews cover. Tell us a little about your practice and we will give you a straight number. Ask us; we would rather quote honestly than post a figure that fits no one.

Our services are keyed to the question you are asking. “Should we do this?” is the Audit. “How do we do this?” is implementation. “How do I fix this right now?” is LegalTech Minutes. Most firms start with the Audit, since it gives everything after it something solid to stand on.

Overview:see the Services page.

That is what LegalTech Minutes is for: focused help on a single, immediate problem, billed hourly or through a prepaid Starter, Growth, or Power Pack. It is the fast lane when you do not need a full engagement, just an answer that works today. Pricing is not published, so ask and we will walk you through it.

Yes, and it is optional. Christian builds the systems; Meagan makes them stick with the whole team through change management. Plenty of firms take the Audit and implement on their own timeline, and that is a fine path too. When you want the build done for you, we are here for it.

We integrate with what you already use rather than tearing it out. No rip-and-replace, no lock-in. The systems we build sit on top of your existing tools and your documented workflows, so the firm still feels like your firm, just with less friction.

A legal engineer blends legal knowledge with technology and process design to modernize how legal work gets delivered. Legal engineering is the practice of turning how a firm works into reliable, documented systems, then building on top of them.

In practice:mapping workflows, writing SOPs, choosing tools, protecting client data, and measuring whether any of it actually performs.

A skill is a package of instructions, and optional resources, that teaches an AI assistant to do a specific task your firm's way. On Claude these are Agent Skills: a SKILL.md file the model loads when it is relevant. The same idea shows up in a ChatGPT custom GPT as its instructions and knowledge. Skills are reusable and composable, so you build one once and use it across matters.

As of early 2026:the tools shift often; the underlying idea, teaching an assistant your method, is stable.

A plugin, or action, is a connection that lets the assistant call an external tool or API to fetch data or take an action, rather than only writing text. In ChatGPT this is now done with a custom GPT's Actions; the older “plugins” were largely superseded. The general idea is the same across tools: give the assistant a safe way to reach out and do something.

On Claude, we build a skill (a SKILL.md plus resources) and connect your data through MCP connectors. On ChatGPT, we build a custom GPT with instructions, knowledge, and Actions. Because MCP is becoming a shared standard, the skills, plugins, and connectors we build from your workflows in the Audit are meant to run on whatever platform you choose, not just one. That is what “you keep the working skills” means.

Seven weighted areas: how consistent your process is, your tools, how organized your files are, whether your tools talk to each other, how well client data is protected, how ready your team is, and your volume of work. Those roll up into a score from 0 to 100 and a readiness band.

Four things stay human at any readiness score: anything a client reads, anything filed with a court, settlement language, and deadlines. High scores widen what you can safely hand to a system, but they never move these four. When we recommend automating something, we are just as clear about what we would not.

We help firms work within their jurisdiction's rules and keep client data protected, including local or on-premises models for sensitive work where that fits. The specific ethics obligations are set by your bar, and we defer to them rather than talk over them. Our role is to build systems that respect those rules, not to reinterpret them for you.

They fail on adoption, not on the model. The technology usually works; the people around it were never brought along. We treat implementation as an organizational and human problem, working with the whole team rather than just the partners, because a system no one uses is not a system.

Who runs it:more on Christian and Meagan on the About page.

You do not have to read everything; that is part of what a guide is for. The wider legal-tech community, its writers, bar sections, and working groups, moves fast and shares generously, and it is worth following at whatever depth you enjoy. Our job is to translate what matters for your firm and let you skip the rest.