Guides

Notes from the builds,
not from theory.

Twelve practical references, each pulled out of an actual system I built rather than written to sound authoritative. Pricing, evidence, AI adoption, matter design, and the litigation-technology work that sits outside the usual playbook.

9 min read

Where I'd actually start with AI in a one- or two-lawyer practice

Most solo lawyers I talk to have already tried three AI tools and gotten nothing durable out of any of them. Here is the order I'd actually do it in.

10 min read

Moving off the billable hour, the way I actually did it

The billable hour stops making sense the moment AI cuts your drafting time by two-thirds. Here is exactly how I restructured pricing when that happened.

10 min read

How I stop AI hallucination without waiting for a better model

I don't wait for models to get better at not making things up. I design systems that can't get away with it in the first place, and here's exactly how.

11 min read

Building a matter management system from scratch, no vendor

I got tired of paying for practice management software that fit my workflow at maybe seventy percent, so I built my own. Here's how, and where it was genuinely hard.

9 min read

AI for in-house counsel, from someone who has built for them

In-house work has a different shape than a law firm, and the AI systems that help you look different too. Here's what I've actually built for in-house teams.

10 min read

What AI actually looks like inside a government legal function

Government legal work has constraints that private practice doesn't, and pretending otherwise is how AI projects in the public sector stall out. Here's what actually works.

10 min read

Writing a workflow down well enough that AI can actually run it

Most workflow write-ups are good enough for a new associate and useless for a machine. Here is the gap I close before I let anything automated touch a real matter.

9 min read

AI governance for a practice too small to have a committee

You don't need a governance committee, a risk framework binder, or a chief AI officer. You need about four rules, written down, that everyone actually follows.

10 min read

How I evaluate a legal AI tool before recommending it to a client

The demo is designed to work. My job is figuring out whether the tool works on the messy, real version of the task, not the clean version they showed you.

9 min read

Turning research you've already done into something that compounds

Most practices redo the same research every eighteen months because nobody can find the last time they did it. Here's how I fix that without a big software project.

9 min read

AI-native versus AI-augmented, as I've actually seen it play out

One rebuilds the workflow around what the tool can do, the other bolts a tool onto a workflow designed before the tool existed. The difference shows up in the numbers within a year.

11 min read

How I structure digital evidence for a US courtroom

Raw device data and financial logs don't win a case, an exhibit that a judge or jury can actually follow does. This is how I build that bridge, matter by matter.

Notes from the builds,not from theory.

Where I'd actually start with AI in a one- or two-lawyer practice

Moving off the billable hour, the way I actually did it

How I stop AI hallucination without waiting for a better model

Building a matter management system from scratch, no vendor

AI for in-house counsel, from someone who has built for them

What AI actually looks like inside a government legal function

Writing a workflow down well enough that AI can actually run it

AI governance for a practice too small to have a committee

How I evaluate a legal AI tool before recommending it to a client

Turning research you've already done into something that compounds

AI-native versus AI-augmented, as I've actually seen it play out

How I structure digital evidence for a US courtroom

Notes from the builds,
not from theory.