Prosecution Insights
Prosecution Insights
Technology areas: Computing & Software • Transportation, E-Commerce & Mechanical Systems
18 pending office actions • 3 clients • 16 examiners • 8 art units • 0 of 18 (0%) have an AI response strategy ready
Lee Sullivan Shea & Smith LLP manages a portfolio in Transportation, E-Commerce & Mechanical Systems with 554 career applications. The firm maintains a resolved allowance rate of 90.6 percent for applications that reach a final resolution. Achieving these results involves an average of 2.39 office actions per allowance. Currently, the firm has 12 pending office actions to address.
The 554 career applications and 90.6 percent allowance rate reflect the firm's practice in its primary technology area. The 2.39 average office actions per allowance provides a benchmark for expected examiner interaction during the patent acquisition process. These figures offer a data-grounded view of the firm's historical performance and current workload for practitioners evaluating the firm's Transportation, E-Commerce & Mechanical Systems experience.
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 | 3 (17%) |
| §101 + other | 6 (33%) |
| §103 only | 3 (17%) |
| Double-patenting only | 3 (17%) |
| Double-patenting + other | 1 (6%) |
| Multi-statute (no §101) | 2 (11%) |
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 |
|---|---|---|---|
| WU, CHONG | 2 | 86.5% | +3.3% |
| YESILDAG, LAURA G | 2 | 34.9% | +41.7% |
| CHBOUKI, TAREK | 1 | 81.2% | +24.0% |
| RUIZ, ANGELICA | 1 | 83.2% | +14.5% |
| ZHU, RICHARD Z | 1 | 69.3% | +15.7% |
| LIU, GORDON G | 1 | 82.9% | +14.8% |
| MAZUMDER, SAPTARSHI | 1 | 64.9% | +12.3% |
| GRAY, RYAN M | 1 | 87.6% | +11.7% |
| OBAID, HAMZEH M | 1 | 38.3% | +22.4% |
| GARCIA-GUERRA, DARLENE | 1 | 23.3% | +34.3% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 5 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19334172 | Metadata-Based Recommendations of File Names | RUIZ, ANGELICA | — |
| 19006615 | Automatic Area Detection | LIU, GORDON G | — |
| 19003983 | Dynamic Adjustment of Cross-Sectional Views | WU, CHONG | — |
| 19004006 | Dynamic Dimensioning Indicators | WU, CHONG | — |
| 19003963 | Computing System and Method for Presenting Digital Content Related to Physical Objects at a Construction Site | GRAY, RYAN M | — |
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 |
|---|---|---|---|
| 18662404 | Machine-Learning-Based Prediction of Construction Project Parameters | HENRY, MATTHEW D | 50d overdue |
| 18961564 | Determination of Insights for Construction Projects | OBAID, HAMZEH M | 29d overdue |
| 18297122 | Computer System and Method for Construction Project Prequalification and Management | YESILDAG, LAURA G | 34d |
| 19383274 | Data Distribution and Access within a Multi-Zone Computing Platform | CHBOUKI, TAREK | — |
| 19190930 | PREDICTIVE TIME SERIES DATA OBJECT MACHINE LEARNING SYSTEM | ZHU, RICHARD Z | — |
| 19006612 | Computer System and Method for Managing Coordination Issues in Construction Projects | MAZUMDER, SAPTARSHI | — |
| 18952795 | Computing System And Method For Generating Intelligent Construction Project Schedules | GARCIA-GUERRA, DARLENE | — |
| 18914455 | Computer System and Method for Tracking the Impact of a Change Event | GILLS, KURTIS | — |
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 |
|---|---|---|---|
| 18961564 | Determination of Insights for Construction Projects | OBAID, HAMZEH M | 29d overdue |
| 18297122 | Computer System and Method for Construction Project Prequalification and Management | YESILDAG, LAURA G | 34d |
| 19383274 | Data Distribution and Access within a Multi-Zone Computing Platform | CHBOUKI, TAREK | — |
| 19334172 | Metadata-Based Recommendations of File Names | RUIZ, ANGELICA | — |
| 19190930 | PREDICTIVE TIME SERIES DATA OBJECT MACHINE LEARNING SYSTEM | ZHU, RICHARD Z | — |
| 19006615 | Automatic Area Detection | LIU, GORDON G | — |
| 19006612 | Computer System and Method for Managing Coordination Issues in Construction Projects | MAZUMDER, SAPTARSHI | — |
| 19003963 | Computing System and Method for Presenting Digital Content Related to Physical Objects at a Construction Site | GRAY, RYAN M | — |
| Client (Assignee) | Pending OAs |
|---|---|
| Procore Technologies, Inc. | 16 |
| Doma Technology LLC | 1 |
| L3VEL | 1 |
| Art Unit | Apps |
|---|---|
| 3624 | 2 |
| 3625 | 2 |
| 3626 | 2 |
| 2165 | 1 |
| 2154 | 1 |
| 2145 | 1 |
| 3629 | 1 |
| 3600 | 1 |
| App # | Title | Client | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|---|
| 19383274 | Data Distribution and Access within a Multi-Zone Computing Platform | Procore Technologies, Inc. | CHBOUKI, TAREK | 2165 | §102§103Other | Non-Final OA | — | Pending | Nov 07, 2025 |
| 19334172 | Metadata-Based Recommendations of File Names | Procore Technologies, Inc. | RUIZ, ANGELICA | 2154 | §103Other | Non-Final OA | — | Pending | Sep 19, 2025 |
| 19190930 | PREDICTIVE TIME SERIES DATA OBJECT MACHINE LEARNING SYSTEM | Doma Technology LLC | ZHU, RICHARD Z | §101§103 | Non-Final OA | — | Pending | Apr 28, 2025 | |
| 19006615 | Automatic Area Detection | Procore Technologies, Inc. | LIU, GORDON G | DP | Non-Final OA | — | Pending | Dec 31, 2024 | |
| 19006612 | Computer System and Method for Managing Coordination Issues in Construction Projects | Procore Technologies, Inc. | MAZUMDER, SAPTARSHI | §103§112 | Non-Final OA | — | Pending | Dec 31, 2024 | |
| 19003983 | Dynamic Adjustment of Cross-Sectional Views | Procore Technologies, Inc. | WU, CHONG | DP | Non-Final OA | — | Pending | Dec 27, 2024 | |
| 19004006 | Dynamic Dimensioning Indicators | Procore Technologies, Inc. | WU, CHONG | DP | Non-Final OA | — | Pending | Dec 27, 2024 | |
| 19003963 | Computing System and Method for Presenting Digital Content Related to Physical Objects at a Construction Site | Procore Technologies, Inc. | GRAY, RYAN M | §103 | Non-Final OA | — | Pending | Dec 27, 2024 | |
| 18961564 | Determination of Insights for Construction Projects | Procore Technologies, Inc. | OBAID, HAMZEH M | 3624 | §101§102 | Final Rejection | 29d overdue | Pending | Nov 27, 2024 |
| 18952795 | Computing System And Method For Generating Intelligent Construction Project Schedules | Procore Technologies, Inc. | GARCIA-GUERRA, DARLENE | 3625 | §101 | Final Rejection | — | Pending | Nov 19, 2024 |
| 18928321 | SYSTEMS AND METHODS FOR BUILDING WIRELESS MESH NETWORKS | L3Vel, LLC | LI, SHI K | §103DP | Non-Final OA | — | Pending | Oct 28, 2024 | |
| 18914455 | Computer System and Method for Tracking the Impact of a Change Event | Procore Technologies, Inc. | GILLS, KURTIS | 3624 | §101§103 | Final Rejection | — | Pending | Oct 14, 2024 |
| 18662404 | Machine-Learning-Based Prediction of Construction Project Parameters | Procore Technologies, Inc. | HENRY, MATTHEW D | 3625 | §101§112DP | Non-Final OA | 50d overdue | Pending | May 13, 2024 |
| 18399124 | Creating, Assigning, and Interacting with Action Items Related to Collaborative Tasks | Procore Technologies, Inc. | TAN, DAVID H | 2145 | §103 | Non-Final OA | — | Pending | Dec 28, 2023 |
| 18535608 | Computer System and Method for Mirroring Data Across Different Accounts of a Software as a Service (SaaS) Application | Procore Technologies, Inc. | RIVERA GONZALEZ, IVONNEMARY | 3626 | §101§103Other | Non-Final OA | — | Pending | Dec 11, 2023 |
| 18345960 | Dynamic Logic Generator for Incongruous Information in Construction Project Planning Applications | Procore Technologies, Inc. | SCHNEIDER, JOSHUA D | 3626 | §101§103§112 | Final Rejection | — | Pending | Jun 30, 2023 |
| 18297122 | Computer System and Method for Construction Project Prequalification and Management | Procore Technologies, Inc. | YESILDAG, LAURA G | 3629 | §101 | Non-Final OA | 34d | Pending | Apr 07, 2023 |
| 18193627 | Connected Configurations Across Collaborator Accounts | Procore Technologies, Inc. | YESILDAG, LAURA G | 3600 | §101 | Final Rejection | — | Pending | Mar 30, 2023 |
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