Prosecution Insights
Prosecution Insights
Technology area: Transportation, E-Commerce & Mechanical Systems
11 pending office actions • 5 art units • 9 examiners • 0 of 11 (0%) have an AI response strategy ready • 5 patents granted in the last 365 days
Foursquare Labs Inc. currently manages 10 pending office actions within the Transportation, E-Commerce & Mechanical Systems technology area. This portfolio is distributed across 5 distinct art units, indicating a focused but varied technical scope for their ongoing applications. Prosecution involves 8 distinct examiners, suggesting that the company interacts with a diverse group of USPTO personnel despite the relatively small volume of pending actions. The involvement of 8 examiners across 5 art units means that some units likely contain multiple examiners assigned to the company's cases.
Meredith A. Long serves as the busiest examiner for this portfolio, currently handling 2 pending office actions. This concentration represents a specific point of contact within the broader group of 8 examiners. For practitioners, the distribution across 5 art units means that while the technology area is consistent, the specific examination criteria may vary according to the standards of each unit. The company must maintain a versatile prosecution strategy to address the 10 pending actions while accounting for the individual styles of 8 different examiners. This structure suggests that no single examiner or art unit dominates the company's current patenting activities, requiring a broad approach to advocacy.
Based on the USPTO statutory response window for each pending office action. 5 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
Every pending office action with a known statutory deadline, placed on a days-until-due axis. Dots left of Today are overdue; the further right, the more runway. Cases that share a deadline window stack vertically. 5 of the docket's apps have a known mailing date.
Difficulty is derived from the rejection statutes on the most recent pending office action. §101-driven and multi-statute cases are graded Hard; §112-only and obviousness-type double-patenting cases are graded Easy; everything else is Medium. "Unknown" means we have not yet parsed a statute for that office action.
| Bucket | Cases |
|---|---|
| §101 only | 4 (36%) |
| §101 + other | 5 (45%) |
| §103 only | 2 (18%) |
How the docket's pending cases split across USPTO tech-center bands.
Manual office-action response work runs about 10 hours per case. The time-saved bands below show what IP Author's prosecution pipeline typically delivers — a conservative 20% on the low end, 35% in the middle, 50% on the high end.
| Examiner | Apps on this docket | Allow rate | Interview lift |
|---|---|---|---|
| LONG, MEREDITH A | 2 | 43.2% | +21.1% |
| POUNCIL, DARNELL A | 2 | 21.4% | +30.7% |
| PATEL, DIPEN M | 1 | 20.1% | +23.8% |
| UDDIN, MOHAMMED R | 1 | 78.0% | +30.0% |
| HENRY, MATTHEW D | 1 | 29.7% | +20.3% |
| KONG, SZE-HON | 1 | 65.2% | +15.0% |
| CIRNU, ALEXANDRU | 1 | 42.7% | +21.3% |
| SINGH, GURKANWALJIT | 1 | 60.9% | +26.4% |
| ANDREI, RADU | 1 | 36.3% | +20.0% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 8 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18635691 | DETERMINING EXPOSURES TO CONTENT PRESENTED BY PHYSICAL OBJECTS | LONG, MEREDITH A | 89d overdue |
| 18235624 | ATTRIBUTING IN-STORE VISITS TO MEDIA CONSUMPTION BASED ON DATA COLLECTED FROM USER DEVICES | LONG, MEREDITH A | 80d overdue |
| 16841121 | TASTE EXTRACTION CURATION AND TAGGING | SINGH, GURKANWALJIT | 45d overdue |
| 17128679 | SYSTEM AND METHOD FOR PROVIDING RECOMMENDATIONS WITH A LOCATION-BASED SERVICE | CIRNU, ALEXANDRU | 9d |
| 19358105 | DATA ATTRIBUTION PIPELINE | PATEL, DIPEN M | — |
| 18661410 | HIERARCHICAL GRID BASED GEOSPATIAL KNOWLEDGE GRAPH AND ASSOCIATED OPERATIONS | UDDIN, MOHAMMED R | — |
| 17935828 | MATCHING USER INFORMATION BETWEEN DATA SETS, WHILE PRESERVING DATA PRIVACY | HENRY, MATTHEW D | — |
| 16405481 | VISIT PREDICTION | ANDREI, RADU | — |
Cases in front of an examiner whose interview lift is 10 percentage points or more — i.e. interviewed cases historically resolve more favorably than non-interviewed ones. The top 8 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18635691 | DETERMINING EXPOSURES TO CONTENT PRESENTED BY PHYSICAL OBJECTS | LONG, MEREDITH A | 89d overdue |
| 18235624 | ATTRIBUTING IN-STORE VISITS TO MEDIA CONSUMPTION BASED ON DATA COLLECTED FROM USER DEVICES | LONG, MEREDITH A | 80d overdue |
| 17328818 | PASSIVE VISIT DETECTION | KONG, SZE-HON | 71d overdue |
| 16841121 | TASTE EXTRACTION CURATION AND TAGGING | SINGH, GURKANWALJIT | 45d overdue |
| 17128679 | SYSTEM AND METHOD FOR PROVIDING RECOMMENDATIONS WITH A LOCATION-BASED SERVICE | CIRNU, ALEXANDRU | 9d |
| 19358105 | DATA ATTRIBUTION PIPELINE | PATEL, DIPEN M | — |
| 18661410 | HIERARCHICAL GRID BASED GEOSPATIAL KNOWLEDGE GRAPH AND ASSOCIATED OPERATIONS | UDDIN, MOHAMMED R | — |
| 17935828 | MATCHING USER INFORMATION BETWEEN DATA SETS, WHILE PRESERVING DATA PRIVACY | HENRY, MATTHEW D | — |
| Art Unit | Apps |
|---|---|
| 3622 | 5 |
| 3625 | 2 |
| 3621 | 1 |
| 3657 | 1 |
| 3698 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19358105 | DATA ATTRIBUTION PIPELINE | PATEL, DIPEN M | 3621 | §101§103 | Non-Final OA | — | Pending | Oct 14, 2025 |
| 18661410 | HIERARCHICAL GRID BASED GEOSPATIAL KNOWLEDGE GRAPH AND ASSOCIATED OPERATIONS | UDDIN, MOHAMMED R | — | §101§103 | Non-Final OA | — | Pending | May 10, 2024 |
| 18635691 | DETERMINING EXPOSURES TO CONTENT PRESENTED BY PHYSICAL OBJECTS | LONG, MEREDITH A | 3622 | §101§103DP | Non-Final OA | 89d overdue | Pending | Apr 15, 2024 |
| 18235624 | ATTRIBUTING IN-STORE VISITS TO MEDIA CONSUMPTION BASED ON DATA COLLECTED FROM USER DEVICES | LONG, MEREDITH A | 3622 | §101 | Final Rejection | 80d overdue | Pending | Aug 18, 2023 |
| 17935828 | MATCHING USER INFORMATION BETWEEN DATA SETS, WHILE PRESERVING DATA PRIVACY | HENRY, MATTHEW D | 3625 | §101 | Final Rejection | — | Pending | Sep 27, 2022 |
| 17328818 | PASSIVE VISIT DETECTION | KONG, SZE-HON | 3657 | §103 | Non-Final OA | 71d overdue | Pending | May 24, 2021 |
| 17128679 | SYSTEM AND METHOD FOR PROVIDING RECOMMENDATIONS WITH A LOCATION-BASED SERVICE | CIRNU, ALEXANDRU | 3622 | §101 | Non-Final OA | 9d | Pending | Dec 21, 2020 |
| 16841121 | TASTE EXTRACTION CURATION AND TAGGING | SINGH, GURKANWALJIT | 3625 | §101 | Non-Final OA | 45d overdue | Pending | Apr 06, 2020 |
| 16405481 | VISIT PREDICTION | ANDREI, RADU | 3698 | §101§103§112 | Non-Final OA | — | Pending | May 07, 2019 |
| 13974708 | SYSTEM AND METHOD FOR CONTEXTUAL MESSAGING IN A LOCATION-BASED NETWORK | POUNCIL, DARNELL A | 3622 | §103 | Final Rejection | — | Pending | Aug 23, 2013 |
| 13949465 | SYSTEM AND METHOD FOR PROMOTING ITEMS WITHIN A LOCATION-BASED SERVICE | POUNCIL, DARNELL A | 3622 | §101§103 | Final Rejection | — | Pending | Jul 24, 2013 |
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