How Do You Prove an AI Timekeeping Vendor Works Before a Firm-Wide Rollout?

How Do You Evaluate an AI Timekeeping Vendor Before a Firm-Wide Rollout?

A demo proves a vendor can perform well once, on a curated example. It does not prove the tool holds up on your real matters, your billing rules, and your attorneys' habits. The only way to know a tool's performance on your real matters, billing rules, and attorneys' habits is to test it like any other piece of firm infrastructure. Set a controlled pilot and a decision rule in advance, then evaluate it against those requirements.

1. Sample selection. Choose matters that represent your real caseload, not your easiest files. Include at least one matter with detailed Outside Counsel Guidelines (OCGs), and one simpler matter for contrast.

2. Baseline. Pull a recent stretch of entries your attorneys already wrote by hand for those same matters, before the vendor sees them. This baseline is what you compare the AI output against.

3. Acceptance test. Write down what a passing entry looks like before the pilot starts. It needs correct matter attribution, a defined writing style, and compliance with your OCGs and Uniform Task-Based Management System (UTBMS) codes. Send this to the vendor in advance.

4. Review the results. Bring the firm's decision-maker(s), billing administrator, and a few managing partners to compare the AI-drafted entries against your written acceptance test, line by line, using the baseline as your control.

Evaluate each tool in three areas:

1. How it captures work. Some tools read on-screen activity, some connect to existing applications through metadata, and others log activity in the background.

2. What it produces. Some tools draft a complete narrative and assign the client and matter. Others only record activity and require the attorney to write the entry.

3. How it handles compliance. Check whether the tool applies OCGs and UTBMS codes when the entry is created and whether it sends clean data to your existing billing system.

For litigation-specific considerations, see PointOne's guide to AI timekeeping tools for litigation firms.

Why Do AI Timekeeping Demos Fail to Produce Usable Entries?

Many tools can record activity but cannot turn it into a billing narrative a partner is willing to approve.

Generic or inaccurate entries create more work during pre-bill review. They may also lead to write-offs or client disputes. You must also test the quality of the final entry, not just the accuracy of the activity log.

• Test on a live matter from your own caseload.

• Review the output as a billing partner would. Does it clearly describe the work performed, or does it list applications and timestamps?

• Check the client and matter assignment for every entry.

• Confirm that the entry follows the applicable OCGs without requiring a rewrite.

For a closer look at what a client-ready narrative looks like, see PointOne's guide to writing better legal bills.

What Should a Vendor Provide Before a Rollout Decision?

Before approving a firm-wide rollout, ask each vendor for the following:

• The vendor should agree to a set of defined written pilot criteria requirements before the pilot begins. This serves as a pilot sample, entry guidelines can always be updated continuously post-rollout.

• A sample export of entries in your billing system's own format. A clean export tells you the entries will actually reach your billing administrator with limited to no manual reformatting.

• A designated pilot owner on the vendor's team should be responsible for questions, issues, and follow-up throughout the pilot.

• An independent security review in which your IT or security team evaluates the vendor’s documentation before approval.

How Long Should the Pilot Run, and Who Should Be in It?

Agree on the pilot period and schedule the final review before the pilot begins. The pilot should run long enough to produce a useful set of entries across live matters. The right length will depend on matter volume and the number of practice groups involved.

Include these four groups:

• The billing administrator, who reviews the entries throughout the pilot.

• A managing partner or practice group leader, who reviews the final results.

• The attorneys working on the selected matters.

• An IT or security contact if the tool accesses email, calendar, or other firm data.

Schedule a short midpoint check-in and a final review. At the final review, compare specific examples: the attorney-written entry, the AI-generated entry, and the firm's acceptance criteria. Do not base the rollout decision only on general feedback from participants.

Which AI timekeeping vendor actually delivers on automated time entry?

Automated timekeeping can mean anything from recording on-screen activity to producing a complete, client-ready entry. The practical question is simple: Does the tool eliminate drafting, or does it merely give attorneys information they must turn into entries themselves?

• PointOne eliminates manual drafting rather than simply making it faster. It passively captures work across email, documents, calls, and web activity, then produces ready-to-invoice entries assigned to the appropriate client and matter and written to reflect firm policies and client OCGs. Attorneys are responsible for reviewing the entries—not reconstructing their day or writing narratives. PointOne also supports timers, voice capture, manual entry with AI-generated narratives, and retroactive capture across any date range. It integrates with Aderant, Clio, Elite 3E, SurePoint, and QuickBooks without requiring firms to replace their existing billing system.

• Laurel automatically captures work activity and generates draft time entries, compliance insights, and profitability analytics. Users may need to group captured activity, train the system, and edit narratives before submission. The platform serves accounting, consulting, and legal firms.

• Billables AI connects to Microsoft 365, Google Workspace, and Zoom to categorize activity and generate narratives. Its streamlined implementation and pricing make it particularly accessible to solo and boutique firms, although it offers less extensive OCG compliance functionality than enterprise platforms.

• Ajax reads on-screen activity across applications to generate detailed time entries. Its lack of SOC 2 compliance and limited ability to support larger, more complex deployments make it better suited to smaller firms.

• Intapp Time and Aderant iTimekeep’s offerings rely primarily on traditional timers that attorneys must manually start and stop for each client or matter. This is more reliable than reconstructing time at the end of the day, but it does not eliminate manual time capture or create entries automatically.

FAQs on Evaluating AI Timekeeping Vendors