Prosecution Insights
Prosecution Insights
14 pending office actions • 8 art units • 12 examiners • 0 of 14 (0%) have an AI response strategy ready • 58 patents granted in the last 365 days
Based on the USPTO statutory response window for each pending office action. 2 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
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 (21%) |
| §101 + other | 2 (14%) |
| §103 only | 2 (14%) |
| §102 only | 1 (7%) |
| §112 only | 1 (7%) |
| Double-patenting only | 1 (7%) |
| Multi-statute (no §101) | 3 (21%) |
| No statute on record | 1 (7%) |
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 |
|---|---|---|---|
| DOMAN, SHAWN | 2 | 64.9% | +26.5% |
| LEE, ADAM | 2 | 84.5% | +59.5% |
| LEIBOVICH, YAIR | 1 | 89.9% | +10.9% |
| SNYDER, STEVEN G | 1 | 80.6% | -8.3% |
| PHAN, RAYMOND NGAN | 1 | 93.8% | -3.8% |
| TSENG, CHENG YUAN | 1 | 84.1% | +15.4% |
| EHNE, CHARLES | 1 | 92.0% | +8.1% |
| LAHAM BAUZO, ALVARO SALIM | 1 | 50.0% | +100.0% |
| NGUYEN, HENRY K | 1 | 58.0% | +31.3% |
| SMITH, CHENECA | 1 | 69.9% | +47.1% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19062301 | PEER-TO-PEER ROUTE THROUGH IN A RECONFIGURABLE COMPUTING SYSTEM | SNYDER, STEVEN G | — |
| 18657619 | Hang Detection In A Coarse Grained Reconfigurable Architecture Processor | EHNE, CHARLES | — |
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 |
|---|---|---|---|
| 18200210 | INTELLIGENT DATA CONVERSION IN DATAFLOW AND DATA PARALLEL COMPUTING SYSTEMS | LEE, ADAM | 28d |
| 18128104 | SEARCHING NEURAL NETWORK PIPELINES BASED ON NAMED MATRIX DIMENSIONS | SMITH, CHENECA | 49d |
| 19179561 | FAULT MANAGEMENT SYSTEM IN A RECONFIGURABLE DATAFLOW ARCHITECTURE WITH FAULT EVENT NOTIFICATION | LEIBOVICH, YAIR | — |
| 18974291 | COMPUTATIONAL NODES FUSION IN A RECONFIGURABLE DATA PROCESSOR | TSENG, CHENG YUAN | — |
| 18635114 | Auto-Discovery Module for the Discovery of Reconfigurable Processors in a Pool of Heterogeneous Reconfigurable Processors | DOMAN, SHAWN | — |
| 18614639 | DATA TRANSFER IN DATAFLOW COMPUTING SYSTEMS USING AN INTELLIGENT DYNAMIC TRANSFER ENGINE | LEE, ADAM | — |
| 18387152 | ALL-SHOT TRAINING OF LARGE LANGUAGE MODELS | LAHAM BAUZO, ALVARO SALIM | — |
| 18234358 | Flexible Classes for Statically Compiled Classification Graphs | NGUYEN, HENRY K | — |
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 |
|---|---|---|---|
| 18200210 | INTELLIGENT DATA CONVERSION IN DATAFLOW AND DATA PARALLEL COMPUTING SYSTEMS | LEE, ADAM | 28d |
| 18128104 | SEARCHING NEURAL NETWORK PIPELINES BASED ON NAMED MATRIX DIMENSIONS | SMITH, CHENECA | 49d |
| 19179561 | FAULT MANAGEMENT SYSTEM IN A RECONFIGURABLE DATAFLOW ARCHITECTURE WITH FAULT EVENT NOTIFICATION | LEIBOVICH, YAIR | — |
| 19032192 | RECONFIGURABLE DATAFLOW COMPUTING SYSTEMS WITH EFFICIENT SOFTMAX FUNCTIONS | DOMAN, SHAWN | — |
| 18974291 | COMPUTATIONAL NODES FUSION IN A RECONFIGURABLE DATA PROCESSOR | TSENG, CHENG YUAN | — |
| 18635114 | Auto-Discovery Module for the Discovery of Reconfigurable Processors in a Pool of Heterogeneous Reconfigurable Processors | DOMAN, SHAWN | — |
| 18614639 | DATA TRANSFER IN DATAFLOW COMPUTING SYSTEMS USING AN INTELLIGENT DYNAMIC TRANSFER ENGINE | LEE, ADAM | — |
| 18387152 | ALL-SHOT TRAINING OF LARGE LANGUAGE MODELS | LAHAM BAUZO, ALVARO SALIM | — |
| Art Unit | Apps |
|---|---|
| 2183 | 2 |
| 2114 | 1 |
| 2113 | 1 |
| 2126 | 1 |
| 2121 | 1 |
| 2198 | 1 |
| 2192 | 1 |
| 2147 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19179561 | FAULT MANAGEMENT SYSTEM IN A RECONFIGURABLE DATAFLOW ARCHITECTURE WITH FAULT EVENT NOTIFICATION | LEIBOVICH, YAIR | 2114 | §101§112Other | Non-Final OA | — | Pending | Apr 15, 2025 |
| 19062301 | PEER-TO-PEER ROUTE THROUGH IN A RECONFIGURABLE COMPUTING SYSTEM | SNYDER, STEVEN G | — | DP | Non-Final OA | — | Pending | Feb 25, 2025 |
| 19032192 | RECONFIGURABLE DATAFLOW COMPUTING SYSTEMS WITH EFFICIENT SOFTMAX FUNCTIONS | DOMAN, SHAWN | 2183 | §112 | Non-Final OA | — | Pending | Jan 20, 2025 |
| 19027528 | PARTITIONING DATAFLOW OPERATIONS FOR A RECONFIGURABLE COMPUTING SYSTEM THROUGH RECURSIVE CANDIDATE GENERATION | PHAN, RAYMOND NGAN | — | Other | Non-Final OA | — | Pending | Jan 17, 2025 |
| 18974291 | COMPUTATIONAL NODES FUSION IN A RECONFIGURABLE DATA PROCESSOR | TSENG, CHENG YUAN | — | §103§112Other | Non-Final OA | — | Pending | Dec 09, 2024 |
| 18657619 | Hang Detection In A Coarse Grained Reconfigurable Architecture Processor | EHNE, CHARLES | 2113 | §102 | Non-Final OA | — | Pending | May 07, 2024 |
| 18635114 | Auto-Discovery Module for the Discovery of Reconfigurable Processors in a Pool of Heterogeneous Reconfigurable Processors | DOMAN, SHAWN | 2183 | §103§112 | Non-Final OA | — | Pending | Apr 15, 2024 |
| 18614639 | DATA TRANSFER IN DATAFLOW COMPUTING SYSTEMS USING AN INTELLIGENT DYNAMIC TRANSFER ENGINE | LEE, ADAM | — | §101 | Non-Final OA | — | Pending | Mar 23, 2024 |
| 18387152 | ALL-SHOT TRAINING OF LARGE LANGUAGE MODELS | LAHAM BAUZO, ALVARO SALIM | 2126 | §102§103 | Non-Final OA | — | Pending | Nov 06, 2023 |
| 18234358 | Flexible Classes for Statically Compiled Classification Graphs | NGUYEN, HENRY K | 2121 | §101 | Non-Final OA | — | Pending | Aug 15, 2023 |
| 18200210 | INTELLIGENT DATA CONVERSION IN DATAFLOW AND DATA PARALLEL COMPUTING SYSTEMS | LEE, ADAM | 2198 | §101§112 | Final Rejection | 28d | Pending | May 22, 2023 |
| 18128104 | SEARCHING NEURAL NETWORK PIPELINES BASED ON NAMED MATRIX DIMENSIONS | SMITH, CHENECA | 2192 | §101 | Non-Final OA | 49d | Pending | Mar 29, 2023 |
| 18105695 | EXPLOITING SHARED DIMENSIONS IN MATRIX COMPUTATIONS | LE, PHAT NGOC | — | §103 | Non-Final OA | — | Pending | Feb 03, 2023 |
| 18092440 | TRAINING A GRAPH NEURAL NETWORK FOR DATABASE DRIVEN PLACE AND ROUTE | NGUYEN, NHAT HUY T | 2147 | §103 | Non-Final OA | — | Pending | Jan 02, 2023 |
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