Prosecution Insights
Prosecution Insights
Technology areas: Computing & Software • Transportation, E-Commerce & Mechanical Systems
22 pending office actions • 8 art units • 22 examiners • 0 of 22 (0%) have an AI response strategy ready • 33 patents granted in the last 365 days
NEC Laboratories Europe GmbH is managing 23 pending office actions in the Computing & Software technology area. These 23 cases are spread across 9 distinct art units, indicating a range of software-related intellectual property. The prosecution is notably decentralized, as there are 23 distinct examiners assigned to the 23 pending actions. This distribution suggests that the company must navigate 23 different individual perspectives across the 9 art units. Prosecution strategies must be tailored to a wide variety of examiner preferences within the computing sector.
BARTLEY, KENNETH is the busiest examiner for this portfolio, with 1 pending office action. Since every examiner is responsible for exactly 1 action, the company faces a unique reviewer for every pending matter. This lack of concentration among the 23 distinct examiners means that no single individual has a disproportionate impact on the portfolio. Practitioners should focus on the specific requirements of the 9 distinct art units while addressing the 23 pending office actions. The 23 distinct examiners provide a range of feedback on the company's software innovations.
Based on the USPTO statutory response window for each pending office action. 1 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 | 2 (9%) |
| §101 + other | 9 (41%) |
| §103 only | 3 (14%) |
| §102 only | 2 (9%) |
| §112 only | 1 (5%) |
| Multi-statute (no §101) | 5 (23%) |
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 |
|---|---|---|---|
| BARTLEY, KENNETH | 1 | 36.0% | +28.5% |
| CASANOVA, JORGE A | 1 | 84.9% | +20.0% |
| HEIN, DEVIN C | 1 | 46.1% | +29.5% |
| SAMPAT, RUSHIL PARIMAL | 1 | 88.8% | +2.9% |
| CHOE, YONG J | 1 | 92.3% | +4.5% |
| WAI, ERIC CHARLES | 1 | 82.1% | +27.3% |
| LANE, THOMAS BERNARD | 1 | 76.5% | +5.0% |
| HAN, KYU HYUNG | 1 | 43.8% | +36.7% |
| GOODARZI, NASSER MOAZZAMI | 1 | 40.9% | +9.7% |
| WONG, WILLIAM | 1 | 30.7% | +27.8% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19298228 | OFFLINE MACHINE LEARNING FOR AUTOMATIC ACTION DETERMINATION OR DECISION MAKING SUPPORT | CASANOVA, JORGE A | — |
| 18815926 | ALLOCATION SYSTEM IN HOSPITAL BY USING GRAPH DATA OF DOCTOR AND PATIENT | CHOE, YONG J | — |
| 18727354 | CENTRALIZED ACCELERATION ABSTRACTION LAYER FOR RAN VIRTUALIZATION | WAI, ERIC 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 |
|---|---|---|---|
| 19161373 | TRANSPARENT PATIENT SYMPTOM-MITIGATION CLUSTERING FROM TEXTUAL DATA | BARTLEY, KENNETH | — |
| 19104242 | IMPROVING EXPLAINABILITY OF PATIENT REPRESENTATIONS IN HEALTHCARE AND HOSPITAL MANAGEMENT SYSTEMS | HEIN, DEVIN C | — |
| 18856631 | NON-REAL TIME CLOUDRIC: ENERGY-EFFICIENT CONTROL OF VRAN RESOURCES IN SHARED O-RAN CLOUDS | SAMPAT, RUSHIL PARIMAL | — |
| 18712715 | ACTIVE LEARNING SYSTEM USING GENERATIVE WEAK SUPERVISION FOR KNOWLEDGE EXTRACTION | LANE, THOMAS BERNARD | — |
| 18712253 | METHOD AND SYSTEM FOR TEMPORAL KNOWLEDGE GRAPH FORECASTING BASED ON PATTERN RECOGNITION | HAN, KYU HYUNG | — |
| 18292372 | ENTITY MATCHING WITH JOINT LEARNING OF BLOCKING AND MATCHING | WONG, WILLIAM | — |
| 18527441 | DYNAMIC EMBEDDING-BASED MACHINE LEARNING TRAINING MECHANISM FOR EFFICIENT AND AGILE INTEGRATION OF NEW INFORMATION | ILES, TYLER EDWARD | — |
| 18565585 | METHOD AND SYSTEM FOR PREDICTING AND CLASSIFYING EVENT SEQUENCES EMBEDDED IN A KNOWLEDGE GRAPH | KNIGHT, PAUL M | — |
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 6 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19161373 | TRANSPARENT PATIENT SYMPTOM-MITIGATION CLUSTERING FROM TEXTUAL DATA | BARTLEY, KENNETH | — |
| 19298228 | OFFLINE MACHINE LEARNING FOR AUTOMATIC ACTION DETERMINATION OR DECISION MAKING SUPPORT | CASANOVA, JORGE A | — |
| 19104242 | IMPROVING EXPLAINABILITY OF PATIENT REPRESENTATIONS IN HEALTHCARE AND HOSPITAL MANAGEMENT SYSTEMS | HEIN, DEVIN C | — |
| 18727354 | CENTRALIZED ACCELERATION ABSTRACTION LAYER FOR RAN VIRTUALIZATION | WAI, ERIC CHARLES | — |
| 18712253 | METHOD AND SYSTEM FOR TEMPORAL KNOWLEDGE GRAPH FORECASTING BASED ON PATTERN RECOGNITION | HAN, KYU HYUNG | — |
| 18292372 | ENTITY MATCHING WITH JOINT LEARNING OF BLOCKING AND MATCHING | WONG, WILLIAM | — |
| Art Unit | Apps |
|---|---|
| 2129 | 2 |
| 3684 | 1 |
| 3686 | 1 |
| 2135 | 1 |
| 2408 | 1 |
| 2123 | 1 |
| 2152 | 1 |
| 2100 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19161373 | TRANSPARENT PATIENT SYMPTOM-MITIGATION CLUSTERING FROM TEXTUAL DATA | BARTLEY, KENNETH | 3684 | §101§103 | Non-Final OA | — | Pending | Sep 02, 2025 |
| 19298228 | OFFLINE MACHINE LEARNING FOR AUTOMATIC ACTION DETERMINATION OR DECISION MAKING SUPPORT | CASANOVA, JORGE A | — | §112Other | Non-Final OA | — | Pending | Aug 13, 2025 |
| 19104242 | IMPROVING EXPLAINABILITY OF PATIENT REPRESENTATIONS IN HEALTHCARE AND HOSPITAL MANAGEMENT SYSTEMS | HEIN, DEVIN C | 3686 | §101§103§112 | Non-Final OA | — | Pending | Feb 17, 2025 |
| 18856631 | NON-REAL TIME CLOUDRIC: ENERGY-EFFICIENT CONTROL OF VRAN RESOURCES IN SHARED O-RAN CLOUDS | SAMPAT, RUSHIL PARIMAL | — | §103§112 | Non-Final OA | — | Pending | Oct 15, 2024 |
| 18815926 | ALLOCATION SYSTEM IN HOSPITAL BY USING GRAPH DATA OF DOCTOR AND PATIENT | CHOE, YONG J | 2135 | §102 | Final Rejection | — | Pending | Aug 27, 2024 |
| 18727354 | CENTRALIZED ACCELERATION ABSTRACTION LAYER FOR RAN VIRTUALIZATION | WAI, ERIC CHARLES | — | §103 | Non-Final OA | — | Pending | Jul 09, 2024 |
| 18712715 | ACTIVE LEARNING SYSTEM USING GENERATIVE WEAK SUPERVISION FOR KNOWLEDGE EXTRACTION | LANE, THOMAS BERNARD | — | §102§103 | Non-Final OA | — | Pending | May 23, 2024 |
| 18712253 | METHOD AND SYSTEM FOR TEMPORAL KNOWLEDGE GRAPH FORECASTING BASED ON PATTERN RECOGNITION | HAN, KYU HYUNG | — | §101§103 | Non-Final OA | — | Pending | May 22, 2024 |
| 18704945 | SYSTEM AND METHOD FOR INDUCTIVE LEARNING ON GRAPHS WITH KNOWLEDGE FROM LANGUAGE MODELS | GOODARZI, NASSER MOAZZAMI | — | §102 | Non-Final OA | — | Pending | Apr 26, 2024 |
| 18292372 | ENTITY MATCHING WITH JOINT LEARNING OF BLOCKING AND MATCHING | WONG, WILLIAM | — | §103§112 | Non-Final OA | — | Pending | Jan 26, 2024 |
| 18527441 | DYNAMIC EMBEDDING-BASED MACHINE LEARNING TRAINING MECHANISM FOR EFFICIENT AND AGILE INTEGRATION OF NEW INFORMATION | ILES, TYLER EDWARD | — | §101§103 | Non-Final OA | — | Pending | Dec 04, 2023 |
| 18565585 | METHOD AND SYSTEM FOR PREDICTING AND CLASSIFYING EVENT SEQUENCES EMBEDDED IN A KNOWLEDGE GRAPH | KNIGHT, PAUL M | — | §103§112 | Non-Final OA | — | Pending | Nov 30, 2023 |
| 18507134 | GEOSPATIAL AI METHOD AND SYSTEM FOR AREA-BASED RISK AND VALUE ASSESSMENT | WALSH, EMMETT K | — | §101 | Final Rejection | — | Pending | Nov 13, 2023 |
| 18283040 | METHOD FOR OPERATING A MACHINE LEARNING SYSTEM AND A CORRESPONDING DATA PROCESSING SYSTEM | GERGISO, TECHANE | 2408 | §103 | Final Rejection | — | Pending | Sep 20, 2023 |
| 18275623 | METHOD AND SYSTEM FOR CLASSIFYING VEHICLES BY MEANS OF A DATA PROCESSING SYSTEM | KIM, SEHWAN | 2129 | §101§103§112 | Final Rejection | — | Pending | Aug 03, 2023 |
| 18275073 | RECOMMENDER SYSTEM FOR TIME-DEPENDENT ACTIONS BASED ON TEMPORAL KNOWLEDGE GRAPHS | SANKS, SCHYLER S | 2129 | §102§103§112 | Non-Final OA | — | Pending | Jul 31, 2023 |
| 18324199 | ACCELERATING PARTICLE SIMULATIONS USING MACHINE LEARNING AND MOLECULAR DYNAMIC SIMULATIONS | BEVERIDGE, CONNOR HAMMOND | — | §101§102§103 | Non-Final OA | — | Pending | May 26, 2023 |
| 18253044 | METHOD AND SYSTEM FOR QUANTIFYING CELLULAR ACTIVITY FROM HIGH THROUGHPUT SEQUENCING DATA | HILL, GRACELYN MARKHAM | — | §101§103 | Non-Final OA | — | Pending | May 16, 2023 |
| 18248529 | MULTIPLE INSTANCE LEARNING FOR PEPTIDE-MHC PRESENTATION PREDICTION | MINCHELLA, KAITLYN L | — | §101§103§112 | Non-Final OA | — | Pending | Apr 11, 2023 |
| 18000693 | DATA PROGRAMMING METHOD FOR SUPPORTING ARTIFICIAL INTELLIGENCE AND CORRESPONDING SYSTEM | GARNER, CASEY R | 2123 | §101 | Final Rejection | — | Pending | Dec 05, 2022 |
| 17909446 | METHOD AND SYSTEM FOR LEARNING NOVEL RELATIONSHIPS AMONG VARIOUS BIOLOGICAL ENTITIES | LY, CHEYNE D | 2152 | §101§103 | Final Rejection | — | Pending | Sep 06, 2022 |
| 17734129 | KEYWORD BASED OPEN INFORMATION EXTRACTION FOR FACT-RELEVANT KNOWLEDGE GRAPH CREATION AND LINK PREDICTION | HOOVER, BRENT JOHNSTON | 2100 | §103 | Final Rejection | 13d | Pending | May 02, 2022 |
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