Standardize, automate, measure, govern.

Define the workflow before you touch a tool.

Write down how intake, matter opening, drafting, or billing actually happens today, including the exceptions. A standard is a decision about what good looks like, made once, so it does not get re-litigated on every matter.

In practice. Before automating intake, agree on what a complete new-matter record contains and who clears conflicts. Otherwise the automation fills the gaps with guesses.

Encode a process that already works.

Automation should remove keystrokes from a workflow you already trust, not invent one. Keep attorney review a visible, named step rather than something buried inside model output. Automating an incoherent process just produces the same mess faster and less visibly.

In practice. Once the intake standard is set, a form plus a rules-based routing step can open the matter and assign the review, with a human sign-off that is logged, not implied.

Instrument the real workflow events.

Measure the things that reflect actual work: time from intake to matter open, share of drafts that clear review on the first pass, where rework clusters. Vanity metrics that nobody acts on are worse than none, because they manufacture false confidence.

In practice. If the goal was faster, conflict-safe intake, track intake-to-open time and conflict-clearance rate, not how many prompts were run.

Keep it usable and defensible as things change.

People, matters, and tools change. Governance is the habit that keeps the workflow honest: an approved-tool register, a supervision log, a review cadence, and a way to handle the day a tool or a person falls out of policy. It should preserve usability, not bury the firm in process.

In practice. When a new AI feature ships in a tool you already use, the register and review cadence decide whether it is in scope, before anyone pastes a client file into it.