A practical evaluation kit for firms comparing AI lobbying software: the eight capabilities to test, a demo script built on your own material, the questions to ask about data and approval, and a four-week pilot.
Judge AI lobbying software on your own work, not a vendor’s demo. Test eight capabilities (client memory, legislative intelligence, relationship context, meeting prep, drafting, submissions, follow-up and portfolio visibility), weight them by what your firm does most, run the same anonymized client through every tool, and confirm that every finding shows its source and nothing leaves without a person approving it.
“AI lobbying software” now covers a summarizer attached to a bill tracker, a general chatbot with a lobbying prompt, a CRM with a writing assistant, and products that carry a client’s work from the first alert to the follow-up email. Vendor demos are built to make all of them look alike. The way to tell them apart is to hold every tool to the same test, on the same material, and score only what you saw.
An anonymized packet from one real client exposes gaps that a vendor’s sample data hides.
Every vendor gets the same packet, the same requests and the same time, so the scores compare.
A feature that is “on the roadmap” or worked only on sample data is scored that way.
These are the parts of a lobbying practice where AI saves real time without touching the relationship itself. For each one: the request to make during the demo, the answer that earns a high score, and the answer that should not.
Set how much each capability matters to your practice. Then pick a tool and score it from 0 to 5 on each capability, using the definitions under the chart. The radar shows each tool’s shape; the weighted total shows which one fits the work you actually do. Rename the tools, score up to three, and copy the summary for the partner meeting. Nothing you enter leaves this page.
Score a tool and its shape appears here. Nothing is pre-filled: the numbers come from your own demo.
An interactive scorecard. Set how much each of eight capabilities matters to your firm, score up to three tools from zero to five on each, and compare them as a radar chart or as weighted totals. Unscored capabilities count as zero.
Send the packet a day ahead and ask for the demo to run on it, live, by the product rather than a slide or a recording. Keep the order below so the scores line up across vendors.
Remove financial and personal details but keep the shape of the work. Check your engagement terms before sharing even anonymized material.
Hand over the anonymized client packet and ask the vendor to load it live. Note what had to be reformatted, and what the tool asked you to fill in.
Ask what moved this week that matters to Client A. Open three findings and check that each source link lands on the passage that supports it.
Ask for a brief for a named office next week. Compare it with what you would have written: what is missing, what is wrong, what is new to you.
Ask for both from the brief. Count how much you would change before sending, and whether the tool kept your format.
Type three lines of notes, including a promise to send cost data by Friday. Check that the client, the office, the ask and the follow-up all updated.
Ask for the whole book this week. With one client loaded, judge the design, then ask how it behaves with your full client list.
Pick any sentence in a draft and ask where it came from. Then ask the vendor to show who approves before anything leaves the firm.
Capabilities decide whether a tool is useful. These answers decide whether you can trust it with client work. Ask for them in writing and keep them with the scorecard.
If a tool cannot take your anonymized packet during the evaluation, it will not be easier once your real clients are in it.
A finding that links to a homepage, or to nothing, has to be checked by hand, which removes most of the time saved.
“It learns everything automatically” is not an answer. You should be able to view what the tool holds about a client and fix it.
Agents that email offices or submit documents without a person approving each item put the firm’s name on work nobody read.
“Coming next quarter” scores a 1 on the scorecard above, not a 4. Buy what you saw working.
Seat limits that keep associates out, or metered AI requests that make people hesitate before asking, defeat the purpose.
The demo tells you whether a tool can do the work. A pilot tells you whether your team will use it. Run one with the top scorer, on two or three live clients, under a signed data agreement.
Agree the bar in advance. Without it, a pilot ends in a debate about impressions instead of a decision.
Capiro is the AI back office for lobbyists, and Meri is the AI Chief of Staff inside it. Each capability above maps to a part of the product, every finding carries its source, and nothing leaves the firm without a person approving it. AI should not replace the relationship. It should carry the work around it.
Software that applies AI to the work of a lobbying practice: remembering each client’s history, reading legislative and regulatory activity against client priorities, preparing meetings, drafting, managing submissions, tracking follow-up and showing the state of the whole client book. The label covers very different products, from a summarizer added to a bill tracker to a full back office, which is why testing on your own material matters.
Yes, for the demo. Build an anonymized packet from one real client: replace names, remove financial and personal details, and keep the structure of the work. Check your engagement terms before sharing even anonymized material. Use live client data only in a pilot, under a signed data agreement that says where it is stored, who can access it and that it is not used to train models for anyone else.
A partner who owns client relationships and will judge the portfolio view, an associate or analyst who does the daily reading and drafting, whoever manages LDA reporting and internal compliance, and someone who can review security and data terms. The associate’s scores on prep and drafting usually matter most, because they will use the tool every day.
Long enough to cover a real stretch of work: several meetings with the same offices, at least one deliverable on a deadline and a few weekly partner reviews. Four weeks is a practical length for most firms. Shorter pilots tend to test only the setup and the morning briefing.
Compare on what grows with your firm: seats, clients, and AI usage. Per-seat pricing can keep associates and support staff out of the tool, and metered AI usage can make people ration it. Capiro is priced by client profile, with unlimited seats and no separate AI usage fee.
Send an anonymized client packet and we will run this demo on it live: sources on every finding, drafts in your format, and a person approving everything that leaves the firm. More capacity for every client.
The category, explained: What is an AI back office for lobbyists?
“This is essentially a back-office platform that merges several softwares we currently use.”
Partner, Government Affairs FirmSo we can tailor the demo. Takes 20 seconds.
Choose a time for your 30-minute discovery call with Jordan Clayton. We will also be in touch within one business day.
