Use of Machine-Learning Models in Creating Messages for Advocacy Campaigns
A patent family: one line of work, grouped by real continuity rather than by a technology label
inferred from titles. 5 of these applications claim priority to application PCT/US2021/072254, filed Nov 4, 2021. A shared origin can cover several different claimed inventions, which is why members here may not share a title. In-force patents first, soonest term end first, then patent number. Expired patents follow, in the same order.
| Patent | Title | Holder | Status | Expires | Time remaining | Confidence |
|---|---|---|---|---|---|---|
| US 11,316,808 | Use of Machine-Learning Models in Creating Messages for Advocacy Campaigns In force · High confidence | Fiscalnote, Inc. | In force | High confidence | ||
| US 11,451,497 | Use of Machine-Learning Models in Creating Messages for Advocacy Campaigns In force · High confidence | Fiscalnote, Inc. | In force | High confidence | ||
| US 11,711,324 | Use of Machine-Learning Models in Creating Messages for Advocacy Campaigns In force · High confidence | Fiscalnote, Inc. | In force | High confidence | ||
| US 11,888,600 | Use of Machine-Learning Models in Creating Messages for Advocacy Campaigns In force · High confidence | Fiscalnote, Inc. | In force | High confidence | ||
| US 11,973,726 | Use of Machine-Learning Models in Creating Messages for Advocacy Campaigns In force · High confidence | Fiscalnote, Inc. | In force | High confidence |
5 of 5 records shown. In-force patents first, soonest term end first, then patent number. Expired patents follow, in the same order.
Updated Nov 14, 2026 · includes USPTO assignment & status data published Nov 14, 2026 and grant & fee data published Nov 10, 2026 (weekly) · how we know
Computed patent terms end on the dates shown. Related patents and pending applications may cover overlapping subject matter.