The AI Guide for Legal Practice
Most AI advice for law firms stops at the demo. It shows a clever answer and leaves out the parts a partner actually has to account for: does it run the same way on every matter, does it protect privilege, and can you produce a file note you would be content to show a regulator.
This guide is the opposite. It is a five-part, practical series on building AI inside a legal practice, from the first reusable skill to the infrastructure underneath it all. Each part stands on its own, and together they describe how work goes from one associate's clever prompt to something the firm owns, governs and can defend.
You can unlock and download the full five-part series as PDFs (one email unlocks all five), or read the summaries below.
01 · Skills: a playbook that runs the same way on every matter
A skill is a captured playbook: the steps, the sources, the checks, written down so the work runs the same way on every matter and leaves a file note behind. This is the difference between a prompt that works when the expert runs it and a method the practice can rely on. Part one is about turning a senior lawyer's tacit judgement into a reusable, inspectable unit.
Read AI skills for law firms.
02 · Connections: wiring AI in without losing privilege
An answer is only as safe as the way it reaches its sources. Part two is about connections: wiring the model into the document management system, the contract repository and the docket, without losing the privilege you were protecting. Access, permissions and provenance are designed in, so the answer comes from the record, not from a copy nobody controls.
Read Connections: wiring AI into DMS, contracts and the docket without losing privilege.
03 · Plugins and agents: something a practice can actually deploy
A skill on one lawyer's laptop is not a capability the firm has. Part three is about packaging a practice's playbook into one installable unit, with its permissions attached, so a colleague can run it without being in the room when you built it. This is where individual technique becomes something a practice group owns and deploys.
Read Plugins and agents: packaging a practice's playbook for deployment.
04 · Prompting: getting a checkable answer you can stand behind
Prompting is the most visible skill and the most misunderstood. Part four is about getting a checkable answer out of a probabilistic system, and knowing which parts you are still obliged to verify yourself before it leaves the building. The goal is not a clever prompt. It is an answer a qualified lawyer can sign.
Read Prompting for a checkable answer in legal work.
05 · The Frontier: what we are building underneath all of it
The last part is the one most vendors skip: the infrastructure. Attestation so every action carries its source and sign-off, knowledge graphs so context does not reset, adapters that learn from corrections, and an honest account of the part nobody has solved yet. This is the engineering that turns the first four parts into something durable.
Read The Frontier: attestation, knowledge graphs, and what is not solved yet.
The through-line
The series is one argument in five parts: AI becomes a capability, rather than an activity, when the playbook is captured, connected to systems that protect privilege, packaged for the practice, prompted for a checkable answer, and built on infrastructure that leaves proof behind. That is the same discipline we describe in our operating model for AI where the output has consequences, applied to the specific tools a legal team uses.
If you work in finance rather than law, the same series exists for you: the AI field guide for regulated finance.
Want the whole thing on your desk? Download the five-part legal series, or send us a workflow and we will tell you plainly whether it is worth building.