Lainge / Small law firm workflow guide

Evaluate the workflow before adding AI.

A practical starting point for small law firms reviewing client intake, matter setup, and document collection. Map the work first, protect the information, and make human ownership clear at every step.

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Three places to look

Start with a process your team already understands.

Use roles and generic examples to describe the current workflow. The AI-supported activities below are evaluation ideas, not claims about a particular product.

01

Client intake

Map today

Trace an inquiry from its first channel through follow-up and the next decision. Note who receives it, where details are recorded, what information is missing, and who owns the response.

Evaluate narrowly

If you are assessing an AI-supported step, keep it narrow, such as organizing an inquiry or flagging missing fields for staff review.

Keep human review

A responsible person verifies the details, handles any required firm review, decides what happens next, and approves client-facing communication.

02

Matter setup

Map today

Map the handoff from an accepted engagement to a matter that is ready for the team. Identify the source of truth, repeated entry, required fields, assignments, and the steps that authorize opening.

Evaluate narrowly

A bounded evaluation could check whether a draft of structured matter details matches information from an approved source.

Keep human review

A staff member confirms the parties, matter details, required checks, and ownership before approving a record or changing the system of record.

03

Document collection

Map today

List what the firm requests, how clients provide it, where it is stored, how missing items are followed up, and how the team knows the packet is ready for the next handoff.

Evaluate narrowly

A limited evaluation might sort or label approved test documents, or flag a possible gap against a staff-defined request list.

Keep human review

A person confirms the document, version, client and matter association, and whether the collection is actually complete. Unclear or conflicting items go to a named reviewer.

Before testing a tool

Make the current handoffs visible on one page.

Pick a routine, representative workflow and follow it from the trigger to a clear handoff. Use a synthetic example or generic description; do not copy client details into a working document for the exercise.

  1. 01

    Trigger and finish

    What starts the work, and what does “ready for the next step” mean?

  2. 02

    Information and source

    What information is needed, where is it held, and which source is authoritative?

  3. 03

    People and handoffs

    Who owns each step, what must they check, and who can correct the record?

  4. 04

    Exceptions and rework

    What happens when details are missing, conflict, or do not fit the usual path?

Protect information and judgment

Set the boundaries before a test begins.

Sensitive client information needs deliberate handling. Treat provider answers and firm approval as prerequisites to using real matter data.

Use a safe test set

Start with synthetic examples. Do not place client or matter information in a tool unless the firm has approved that specific tool and data path. If other data is proposed, have the responsible firm lead confirm it is appropriate before use.

Understand the data path

Before a trial, ask what the tool receives, who can access it, what the provider retains, how deletion works, whether inputs may be used for model improvement, and what activity is logged. Record answers and unresolved questions.

Keep access narrow

Limit test data and tool access to the people who need them. Use the firm-approved location and handling process, and decide who is responsible for removing test material when the evaluation ends.

Keep a person accountable

Name the reviewer, show the information they need to check, and make corrections possible. Define where uncertain, incomplete, or sensitive cases go; do not let an AI step silently decide or send the next action.

A bounded evaluation

Test the work, the review, and the exception path.

Agree on what a useful result means before comparing an AI-assisted step with the current process. Do not assume time savings, accuracy, or improved outcomes.

Choose observable checks

Agree on a baseline and a small set of checks that fit the workflow: required information captured, correct source details, missing items flagged, review time, corrections needed, and whether the next owner receives a usable handoff. Record what happened; do not treat a small test as a performance guarantee.

Keep approval and escalation explicit

Have a qualified team member compare outputs with the approved source, correct errors, and decide whether anything may be saved or sent. Define who handles uncertain, conflicting, or out-of-scope cases, and how the team returns to its existing process if the test is paused.

Continue only when the firm can control the data, verify and correct the output, identify an accountable owner, and route exceptions to a person.

A practical next step

Bring one small-firm workflow into focus.

Lainge’s existing small-law-firm assessment looks at intake, matter setup, and document collection with human review and clear data boundaries.

Visit the small-law-firm assessment

This material is for workflow planning only. It is not legal advice and does not recommend an AI tool or predict a result. Consult the appropriate professionals about your firm’s specific obligations and decisions.