IMPLEMENTATION GUIDE

Published October 28, 2026 · Shibin Sundaran

How to Run an Immigration AI Pilot: A Case-Preparation Scorecard

Measure staff time, corrections and attorney review before expanding.

You can evaluate immigration AI on a small subset of matters before expanding across the firm. Define the preparation steps being tested, use representative files, and measure the work remaining after the system produces its output. Track staff time, factual corrections, evidence traceability and attorney review separately.

A polished demonstration answers whether software can produce something useful. A pilot should answer whether your team can use that output reliably in its actual workflow.

Start with one workflow and a clear finish line

“Test AI” is too broad to evaluate.

Choose a specific preparation workflow, such as producing a draft support letter and associated forms from an existing matter file. Write down what the system will receive, what it should return and what your team must still complete.

Define the finish line as an output your attorney can review against the firm’s agreed checklist. Generating a document is an intermediate step.

Keep filing outside the pilot unless submission is explicitly included in the approved scope, with clear human authorization.

Choose representative matters

An initial evaluation can use three carefully selected matters:

  • A routine matter with complete, consistent inputs.
  • A matter containing missing or conflicting information.
  • A matter with a variation your firm regularly encounters.

Three matters are a starting sample, not proof of performance across a practice. Expand the evaluation if outcomes vary or the sample does not reflect your caseload.

Previously completed matters can help establish expected outputs. Review data handling and permissions before sharing files, and avoid exposing unnecessary client information.

Do not compare a straightforward matter in one product with an unusually complex matter in another. Use equivalent inputs and the same scope wherever possible.

Establish the baseline before testing

Record how the team currently completes the same preparation work.

Separate active work from elapsed time. A case waiting overnight for a document has a long turnaround, but that waiting period is not eight hours of staff effort.

Capture time spent on:

  • Organizing and checking inputs.
  • Entering information and preparing drafts.
  • Correcting facts, formatting and evidence references.
  • Reviewing the output.
  • Returning documents and updating the case record.

Record implementation and template setup separately. Those costs matter, but mixing them into ordinary case work makes both harder to understand. For broader software selection, use the immigration AI buyer guide.

Use a scorecard for every matter

Agree on acceptance criteria before reviewing the results.

Immigration AI pilot evaluation scorecard
MeasureWhat to record
Input preparationStaff minutes spent making the file usable
Draft preparationActive staff time and system processing time, separately
Factual accuracyIncorrect, missing or unsupported statements and fields
Conflicting informationWhether discrepancies were surfaced for review
Evidence traceabilityWhether reviewers could locate support for material statements
Attorney reviewReview minutes and substantive changes required
Output usabilityTemplate, formatting and document-organization corrections
Case-system handoffUploads, downloads, re-entry and record updates still required
ExceptionsFailures, manual recovery and unresolved questions

Avoid combining everything into one numerical score. A workflow can be fast while leaving a serious factual problem unresolved.

Treat material unsupported statements, unresolved identity conflicts or failures to preserve review control as reasons to investigate before expanding.

Test what happens when the inputs change

A routine file may show how the system handles expected work. Exceptions show what your team must manage.

In an authorized test environment, introduce a controlled change, such as a corrected address or a conflicting date. Check whether the system:

  1. Identifies the affected information.
  2. Flags the conflict rather than silently choosing an answer.
  3. Updates the relevant output.
  4. Makes the change understandable to the reviewer.

Confirm what happens to earlier versions. Your team should know which output is current and which still requires review.

These are evaluation questions, not claims that every product supports the same behavior.

Follow the work back into the case-management system

An integration label does not explain the full handoff.

Ask the vendor to demonstrate where the workflow starts, which records it reads, which documents it returns and which updates require staff action.

Watch the actual process. Count the downloads, uploads, copy-and-paste steps and application changes that remain.

Some products import documents and return completed work. Others support additional configured actions. Verify the exact behavior available for your system, permissions and case type. See the MyCase workflow for an integration-specific example.

Calculate value from the complete workflow

Use this calculation for each matter:

Net staff time saved = baseline active staff time − pilot active staff time

Pilot time should include input preparation, operation, corrections, review and final handoff.

For an illustrative example, suppose the current process takes 100 active staff minutes. The pilot takes 15 minutes to prepare inputs, 10 minutes to operate, 20 minutes to correct and 25 minutes to review and return the work. Total active time is 70 minutes, leaving 30 minutes saved.

These numbers illustrate the method. They are not an Infinity benchmark.

Compare the value of measured time saved with software usage charges and implementation costs. Time released creates capacity; it becomes a cash saving only when an actual expense falls.

Decide whether to expand, adjust or stop

Expand when representative matters meet the agreed quality requirements, staff effort improves and the remaining work is clear.

Adjust the scope when the system helps with one preparation stage but leaves another stage largely manual.

Pause when corrections erase the benefit, important exceptions remain unexplained or the team cannot verify the output confidently.

Document the reason for the decision. A useful pilot can reveal that a product fits one workflow but needs further testing elsewhere. For a related process, see the immigration intake QA workflow.

Frequently asked questions

Can we pilot immigration AI on only a few matters?

Yes. Define a limited scope and select representative files. A small sample can reveal workflow problems, but it does not establish reliability across every case type.

How long should the pilot run?

Long enough to complete the agreed preparation and review steps and investigate exceptions. A drafting test and a seasonal intake test may require different evaluation periods.

Should we measure only drafting speed?

No. Include input preparation, corrections, attorney review and the handoff back into the case record.

Does a successful pilot remove attorney review?

No. The evaluation should establish how the software supports review and where legal judgment and final authorization remain.

Evaluate Infinity against your workflow

When evaluating Infinity, agree on the supported preparation steps, inputs, outputs and integration requirements for your firm’s configuration. Use the same scorecard to identify what it prepares and what remains with your team.

Book a case-preparation workflow review