Written while building, not after.
Guides for the task in front of you, guides for independent firms on getting found on Google, and perspectives on what it takes for a firm to change how the work is produced.
AI intake for law firms: what a system that answers, qualifies and books actually does
The call comes at 6:40pm and goes to voicemail. What an AI receptionist can safely do with that call, the questions it should ask, where the review gate goes, and how it compares with a legal intake service or intake software.
FeaturedWhy your law firm isn't showing up on Google, and the twenty-minute check
Four things are usually wrong when a firm with years of reviews gets no calls from search. Three of them you can find and fix yourself this afternoon.
FeaturedAI for small law firms: what is worth buying, in order of payback
A firm of one to five lawyers is offered a new AI tool every week. Most of them are for the wrong problem. Here is the order that pays: intake first, then the work you already do, then research, with the governance a small firm actually needs and nothing it does not.
FeaturedA law firm AI policy people will follow, with a template
Blanket bans fail because AI is already inside the tools the firm pays for. What a workable policy decides, in what order, and a template you can adapt in an afternoon.
FeaturedWhat is an AI-native law firm?
Not a firm that bought the tools, and not a start-up with a model where the associates used to be. A working definition, five markers you can check, and the path from a traditional firm to one.
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A first draft from your own precedents
Getting a usable first pass out of your own precedent bank rather than the model's training data — and the instruction structure that makes it repeatable.
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How to cite-check a brief, and catch the case that was never decided
A twenty-minute verification pass for any brief, memo or AI-assisted research output. It separates "not found" from "not checked", and it catches the citation that resolves cleanly but supports nothing.
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Lawyers already know how to instruct precisely
They call it drafting. Specifying behaviour unambiguously, for a reader who will exploit any gap, is the same discipline — which means the starting point is further along than most training assumes.
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Pilots die quietly
Nobody cancels a failed AI pilot. The licences renew, the champion moves practice group, and the usage report stops being circulated.
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The first question is never which tool
It is whose tenancy the data sits in. Every decision worth making about legal AI is downstream of that one, and most procurement processes ask it last.
FeaturedLaw firm automation: start with the phone, not the documents
At a firm of one to five lawyers the payback from automation is at the front door, not in the drafting. Six automations ranked by what they return, what each needs, where the review gate goes, and the failure that makes automation obvious to a client.
Your firm's website is down. What it costs, and what to do in the next hour
Directories keep sending people to a dead domain for years. Here is the two-minute check, what the registrar statuses mean, and the order to fix things in.
Missed-call text-back for law firms: what it is, what the text should say, and the rules
A person who calls a law firm and gets voicemail calls the next firm. An automatic text within a minute keeps the conversation open. Here is how it works, the message that converts, and the consent and solicitation rules it has to respect.
Extracting the same fields across a document set
Pulling consistent, checkable data out of fifty agreements — and building the small answer key that tells you whether it worked.
Nothing matches that combination.