AI Recommendations

Describe your issue once. We find what matches

AI Recommendations turns a plain-English description of what you track into a running list of matching bills and hearing moments. It searches by meaning, so it finds the bill that never uses your exact words, and every recommendation waits for your review before it joins a track.

Animated illustration with example names and data.

Trusted by Fortune 500 teams, lobby firms, associations, law firms, and government
The problem

Keyword lists miss the bill that matters

A keyword list catches the bills that use your words and misses the ones that do not. Data centers become large load facilities. A drug pricing fight is about pharmacy benefit managers. Building and maintaining a perfect keyword list across every state is a full-time job that still leaves gaps.

How it works

From a sentence to a reviewed list

STEP 1

Describe the issue

Write what you track the way you would explain it to a colleague.

STEP 2

See what matched and why

USLege shows the concepts it searched for and the bills and hearing moments that matched each one.

STEP 3

Review and add

Add a recommendation to your track or dismiss it. Reviewed items stay out of your way.

What's included

Coverage that keeps up with your issue

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Search by meaning

Finds bills about your issue even when they use different words than you do.

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Shows its reasoning

See the related concepts it searched for, so you can tell why something matched.

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Bills and hearings

Recommendations include bills and moments in hearings where the issue came up.

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Linked to your tracks

Recommendations come from the Radar rules linked to each track, one row per bill with every rule it matched.

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Review queue

New recommendations stay unreviewed until someone on your team acts on them.

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Across every state you cover

One description works across federal and every state your account follows.

USLege MCP

Ask for recommendations in plain English

From Claude or ChatGPT through USLege MCP, or inside the app.

Which bills are recommended for our Data Centers track that we have not reviewed yet?
Find bills about rural broadband grants, even if they do not say broadband.
Which new recommendations matched more than one of our Radar rules?
Show me hearing moments this week that match our water rights track.

Examples. Works from Claude, ChatGPT, and other AI tools connected to USLege MCP.

Questions

What do teams ask about AI Recommendations?

How is this different from a keyword alert? +
A keyword alert only catches the exact words you list. AI Recommendations searches by meaning, so it also finds bills and hearing moments that describe your issue in different words.
Do recommendations get added to my track automatically? +
No. Recommendations wait for review. Your team decides what joins a track, and reviewed items stay out of the queue.
Can I see why something was recommended? +
Yes. USLege shows the concepts it searched for and which of your Radar rules each bill matched.
Does it cover hearings as well as bills? +
Yes. Recommendations can include moments in hearings where your issue was discussed.
Try it on your issue

Describe your issue. See what you have been missing

Tell us what you track in one sentence and we will run it live. Want alerts as well? See Legislative Alerts.

Just comparing options? See pricing →
Made with USLege

Check out this intelligence report.

An AI Overview of the United States

A full AI-policy intelligence report across all 50 states: curated AI bills, an AI-Friendliness Index for every state, verified legislative hearing clips in a growing set of states, and the sponsors driving both sides of the debate. This is the type of report USLege builds fast.

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We'll email the report and occasional product updates.
Independent analysis built from public legislative records.