Technology area: Transportation, E-Commerce & Mechanical Systems
10 pending office actions • 5 art units • 10 examiners • 0 of 10 (0%) have an AI response strategy ready • 5 patents granted in the last 365 days
Jones Lang Lasalle Ip Inc. has 11 pending office actions in Transportation, E-Commerce & Mechanical Systems. The matters are assigned to 11 distinct examiners across 6 distinct art units. The matching action and examiner counts show broad examiner dispersion, while the smaller art-unit count means multiple examiners are working within some art units.
ARMSTRONG, ANGELA A is the busiest examiner, with 1 pending matter. The data does not identify a larger examiner cluster, so counsel should use art-unit grouping to coordinate strategy while preserving application-level review.
Based on the USPTO statutory response window for each pending office action. 3 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. 3 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 (40%) |
| §101 + other | 4 (40%) |
| §103 only | 1 (10%) |
| Multi-statute (no §101) | 1 (10%) |
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 |
|---|---|---|---|
| ARMSTRONG, ANGELA A | 1 | 74.1% | +8.9% |
| HOQUE, NAFIZ E | 1 | 75.7% | +22.8% |
| WARNER, PHILIP N | 1 | 38.7% | +29.9% |
| TURK, BROCK E | 1 | 30.5% | +37.2% |
| DIVELBISS, MATTHEW H | 1 | 24.2% | +25.6% |
| MONAGHAN, MICHAEL J | 1 | 34.3% | +52.9% |
| RUHL, DENNIS WILLIAM | 1 | 26.1% | +23.4% |
| HO, THOMAS Y | 1 | 17.6% | +29.0% |
| GUNN, JEREMY L | 1 | 30.1% | +45.8% |
| PRATT, EHRIN LARMONT | 1 | 15.2% | +12.9% |
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 |
|---|---|---|---|
| 18381476 | METHODS FOR GENERATING INSIGHT DATA AND RECOMMENDATIONS FROM ANALYTICAL DATA AND DEVICES THEREOF | DIVELBISS, MATTHEW H | 9d |
| 18087422 | METHODS FOR ASSESSING AN IMPACT OF A CHANGE IN A SCENARIO ON WORKPLACE MANAGEMENT AND DEVICES THEREOF | GUNN, JEREMY L | 23d |
| 18130598 | METHODS FOR AUTOMATED WORK ORDER NOT-TO-EXCEED (NTE) LIMIT OPTIMIZATION AND DEVICES THEREOF | MONAGHAN, MICHAEL J | 28d |
| 19051085 | METHODS FOR GENERATING INTEL AND EXTRACTING DATA AND DEVICES THEREOF | ARMSTRONG, ANGELA A | — |
| 18916655 | METHODS FOR UTILIZING KNOWLEDGE GRAPHS TO PROVIDE REAL TIME AI INSIGHTS IN A COLLABORATIVE CHAT ENVIRONMENT AND SYSTEMS THEREOF | HOQUE, NAFIZ E | — |
| 18409294 | METHODS FOR MANAGING REAL ESTATE BLOCKCHAIN INFRASTRUCTURE AND SYSTEMS THEREOF | TURK, BROCK E | — |
| 18044680 | ASSET VISUALIZATION FOR MULTI-PARTY COMMERCIAL REAL ESTATE MANAGEMENT | RUHL, DENNIS WILLIAM | — |
| 18102225 | METHODS FOR COMMERCIAL REAL ESTATE DECARBONIZATION FORECASTING AND DEVICES THEREOF | HO, THOMAS Y | — |
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 |
|---|---|---|---|
| 18381476 | METHODS FOR GENERATING INSIGHT DATA AND RECOMMENDATIONS FROM ANALYTICAL DATA AND DEVICES THEREOF | DIVELBISS, MATTHEW H | 9d |
| 18087422 | METHODS FOR ASSESSING AN IMPACT OF A CHANGE IN A SCENARIO ON WORKPLACE MANAGEMENT AND DEVICES THEREOF | GUNN, JEREMY L | 23d |
| 18130598 | METHODS FOR AUTOMATED WORK ORDER NOT-TO-EXCEED (NTE) LIMIT OPTIMIZATION AND DEVICES THEREOF | MONAGHAN, MICHAEL J | 28d |
| 18916655 | METHODS FOR UTILIZING KNOWLEDGE GRAPHS TO PROVIDE REAL TIME AI INSIGHTS IN A COLLABORATIVE CHAT ENVIRONMENT AND SYSTEMS THEREOF | HOQUE, NAFIZ E | — |
| 18796205 | METHODS FOR GENERATING DATA INSIGHTS USING AI AND NATURAL LANGUAGE PROCESSING | WARNER, PHILIP N | — |
| 18409294 | METHODS FOR MANAGING REAL ESTATE BLOCKCHAIN INFRASTRUCTURE AND SYSTEMS THEREOF | TURK, BROCK E | — |
| 18044680 | ASSET VISUALIZATION FOR MULTI-PARTY COMMERCIAL REAL ESTATE MANAGEMENT | RUHL, DENNIS WILLIAM | — |
| 18102225 | METHODS FOR COMMERCIAL REAL ESTATE DECARBONIZATION FORECASTING AND DEVICES THEREOF | HO, THOMAS Y | — |
| Art Unit | Apps |
|---|---|
| 3624 | 4 |
| 3629 | 2 |
| 2693 | 1 |
| 3692 | 1 |
| 3626 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19051085 | METHODS FOR GENERATING INTEL AND EXTRACTING DATA AND DEVICES THEREOF | ARMSTRONG, ANGELA A | — | §101§102§103 | Non-Final OA | — | Pending | Feb 11, 2025 |
| 18916655 | METHODS FOR UTILIZING KNOWLEDGE GRAPHS TO PROVIDE REAL TIME AI INSIGHTS IN A COLLABORATIVE CHAT ENVIRONMENT AND SYSTEMS THEREOF | HOQUE, NAFIZ E | 2693 | §102§103 | Non-Final OA | — | Pending | Oct 15, 2024 |
| 18796205 | METHODS FOR GENERATING DATA INSIGHTS USING AI AND NATURAL LANGUAGE PROCESSING | WARNER, PHILIP N | 3624 | §103 | Non-Final OA | — | Pending | Aug 06, 2024 |
| 18409294 | METHODS FOR MANAGING REAL ESTATE BLOCKCHAIN INFRASTRUCTURE AND SYSTEMS THEREOF | TURK, BROCK E | 3692 | §101 | Non-Final OA | — | Pending | Jan 10, 2024 |
| 18381476 | METHODS FOR GENERATING INSIGHT DATA AND RECOMMENDATIONS FROM ANALYTICAL DATA AND DEVICES THEREOF | DIVELBISS, MATTHEW H | 3624 | §101§103 | Final Rejection | 9d | Pending | Oct 18, 2023 |
| 18130598 | METHODS FOR AUTOMATED WORK ORDER NOT-TO-EXCEED (NTE) LIMIT OPTIMIZATION AND DEVICES THEREOF | MONAGHAN, MICHAEL J | 3629 | §101 | Final Rejection | 28d | Pending | Apr 04, 2023 |
| 18044680 | ASSET VISUALIZATION FOR MULTI-PARTY COMMERCIAL REAL ESTATE MANAGEMENT | RUHL, DENNIS WILLIAM | 3626 | §101§103 | Final Rejection | — | Pending | Mar 09, 2023 |
| 18102225 | METHODS FOR COMMERCIAL REAL ESTATE DECARBONIZATION FORECASTING AND DEVICES THEREOF | HO, THOMAS Y | 3624 | §101§103§112 | Non-Final OA | — | Pending | Jan 27, 2023 |
| 18087422 | METHODS FOR ASSESSING AN IMPACT OF A CHANGE IN A SCENARIO ON WORKPLACE MANAGEMENT AND DEVICES THEREOF | GUNN, JEREMY L | 3624 | §101 | Final Rejection | 23d | Pending | Dec 22, 2022 |
| 17881320 | REAL ESTATE FIT AND BUDGETING TOOL AND METHOD THEREOF | PRATT, EHRIN LARMONT | 3629 | §101 | Non-Final OA | — | Pending | Aug 04, 2022 |
IP Author helps IP teams respond to office actions faster with AI-generated responses, examiner analytics, and prosecution intelligence.
Start Free TrialJones Lang Lasalle Ip Inc. has 10 pending office actions as of October 2026, spread across 5 art units and 10 examiners.
Angela A Armstrong has the most, with 1 of Jones Lang Lasalle Ip Inc.'s pending office actions.
Mostly Transportation, E-Commerce & Mechanical Systems (USPTO Tech Center 3600), based on where its pending office actions are examined.