MLA: We Help Lawyers Reclaim Their Precious Time

MLA: We Help Lawyers Reclaim Their Precious Time We help lawyers reclaim their precious time. Learn more here: mylegalacademy.com

Law firm owners: we are running a live session on Wednesday, Sept 23 at 11 AM PT called The Five-Minute Test.Here is th...
09/15/2026

Law firm owners: we are running a live session on Wednesday, Sept 23 at 11 AM PT called The Five-Minute Test.

Here is the format.
We call a law firm as if we were a new client.
We time how long it takes for someone to call back.
We see whether they ask the right questions, whether they follow up, and whether we end up on the calendar.

Then we take apart what broke and how to fix it.

Intake systems and client conversion, one hour, live. Bring your own numbers.

Save your seat: lu.ma/intake

09/14/2026

Your AI documents come out inconsistent because you skipped one free feature you already have.

Google Docs ships with a built-in template feature, and it's the missing piece for reliable AI documents. The rule is simple. Every placeholder gets wrapped in double curly brackets, and you cannot use spaces, so you join words with underscores. Matter becomes {{matter_ID}}. Client becomes {{client_name}}. As nuanced as you want, on a document you already own and approved.

Once the placeholders are in, AI stops writing from scratch and starts filling the blanks. Same format, same way, every time.

And you don't have to build it alone. Claude can set up the whole template and place the brackets for you.

Save this. Comment TEMPLATE for the setup steps.

Call your own firm the way a new client would. Fill in your own web form. Send the email on your own site. Then watch wh...
09/12/2026

Call your own firm the way a new client would.
Fill in your own web form.
Send the email on your own site.
Then watch what happens.

A member did exactly that, live in AI Labs this week. Within seconds his form fired off an automated text and an email. Fast, on paper. But no human saw it, nothing was asked, and no call came. The whole reply was "we will be in touch shortly."

The data is brutal on that. Miss a new lead in the first minute and about 21% are already gone. Slip past five minutes and you can lose up to 88% of the chance to be hired.

You cannot fix a gap you have never measured.
Mystery shop your own intake this week.
One test call tells you more than a month of guessing.

Want the replay for this week's MLA AI Labs?
Comment "LABS" and we'll get you in

09/11/2026

You have Claude write the document, then spend twenty minutes reformatting it. There's a better way.

Every time AI writes a document from scratch, it's doing two jobs: the words and the formatting. A 1000-word document is about 4,000 tokens just to generate, and then you go back and fix the layout it got wrong anyway.

Give it a template instead. Now it's not writing a document, it's filling in the blanks on one your firm already approved. Pre-formatted, no layout mistakes, and the content stays exactly as it should. Same document, same way, every time.

That's the deterministic way: a template with placeholders, and Claude driving the fill.

Save this.
Comment TEMPLATE for how it's built.

09/11/2026

Right now you start every AI task. An agent starts itself.

Think about how you use AI today. You open your laptop, open Claude, and send the first message. Maybe you have four or five sessions going, one per task, and you keep prompting until each one is done. It works, but it's reactive. Nothing happens until you kick it off.

An agent flips that. It's triggered by an event, not by you. A new lead drops in, an email lands, and it starts on its own. And it doesn't do one task. It runs a whole series of steps toward a goal, without you sending the first message.

That's the shift from using AI to running one.

Nearly half of legal organizations have AI built into their workflow now. Only 1 in 3 of the people using it say they ac...
09/10/2026

Nearly half of legal organizations have AI built into their workflow now.
Only 1 in 3 of the people using it say they actually trust the output.

That's not a contradiction.
That's just how a new tool gets adopted.

The move isn't to trust the output. It's to trust the process.
Check what it gives you every time, especially the parts that feel right on the first read.
Those are the ones nobody double-checks, and the ones most likely to bite you.

Save this as your reminder.
Comment LABS for how we build the checking step into every workflow.

09/08/2026

You keep re-explaining the same task to AI every week. You only have to teach it once.

Here's how it works. You talk to Claude, walk it through a task, and correct it until it does the thing right. Then you ask Claude to turn that into a skill and give it a name.

From then on, you type the skill name and it runs the whole process on its own, no re-explaining, no walking it through again. The work you did once becomes a button you press forever.

Save this for the next task you keep repeating.

Comment SKILL for what to build first.

Happy Labor Day.The goal was never to work more hours. It was to build something that runs without needing all of them.T...
09/07/2026

Happy Labor Day.

The goal was never to work more hours. It was to build something that runs without needing all of them.

Today, step away and let it. You earned the break.

09/06/2026

Your AI already keeps a file on you and your firm. Have you ever opened it?

For a lot of people, memory.md and CLAUDE.md are vague ideas floating somewhere on their computer that they never touch. But that's where your AI stores what it knows about how you work, and it's been building it since your first session.

There's one command to see it. Type /memory in your terminal after you log in, and the memory menu opens up. That's the back end, in plain view.

Save this and go look at yours.

Comment MEMORY for what to do with what you find.

09/03/2026

Worked in one AI session for 3 hours and need to step away for a while? There is one command to run before you do, and skipping it quietly costs you.

This is what happens without it.
You leave a long session open, the warm copy of your conversation eventually goes cold, and when you return, the tool re-reads the entire three hours from scratch before it can help you.
You pay for all of that reading again.

Run /compact before the break instead.
At roughly a tenth of the normal cost, it reads through the whole session, writes a clean summary of it, and saves that to memory.
When you come back, you resume from the summary rather than the full transcript. Same context, a fraction of the cost.

The rule of thumb from the room: if you are stepping away for longer than an hour, compact first. It is a small habit that protects the work you already did without paying for it twice.

What is your longest single AI session been, and did you compact it or lose it? The rest of the habits are in the first comment.

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