Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 19300640 | ROBUST RECORD-TO-EVENT CONVERSION SYSTEM | August 2025 | November 2025 | Allow | 3 | 0 | 0 | No | No |
| 19280669 | INGESTION AND SEGMENTATION OF REAL-TIME EVENT DATA | July 2025 | January 2026 | Allow | 6 | 0 | 0 | Yes | No |
| 19240190 | INGESTION AND SEGMENTATION OF REAL-TIME EVENT DATA | June 2025 | August 2025 | Allow | 2 | 0 | 0 | Yes | No |
| 19221845 | DATA AGGREGATOR GRAPHICAL USER INTERFACE | May 2025 | August 2025 | Allow | 2 | 0 | 0 | Yes | No |
| 19082454 | ENHANCED SEARCHING USING FINE-TUNED MACHINE LEARNING MODELS | March 2025 | January 2026 | Allow | 10 | 0 | 0 | Yes | No |
| 19082105 | MACHINE LEARNING ARCHITECTURE FOR CONTEXTUAL DATA RETRIEVAL | March 2025 | May 2025 | Allow | 2 | 0 | 0 | Yes | No |
| 19055458 | SYSTEM AND METHOD FOR ANALYSIS OF DATA FROM MULTIPLE DATA SOURCES | February 2025 | January 2026 | Allow | 11 | 1 | 0 | No | No |
| 19047445 | ALLOCATING RESOURCES BASED ON GROUP PERFORMANCE METRICS COMPUTED USING MACHINE LEARNING MODELS | February 2025 | April 2025 | Allow | 3 | 0 | 0 | Yes | No |
| 19043055 | SYSTEMS AND METHODS FOR A REASONING-INTENSIVE RERANKING BASED ARTIFICIAL INTELLIGENCE CONVERSATION AGENT | January 2025 | September 2025 | Allow | 8 | 0 | 0 | No | No |
| 19021974 | DATA AGGREGATOR GRAPHICAL USER INTERFACE | January 2025 | March 2025 | Allow | 2 | 0 | 0 | Yes | No |
| 19011362 | CONFIGURATION-DRIVEN EFFICIENT TRANSFORMATION OF FORMATS AND OBJECT STRUCTURES FOR DATA SPECIFICATIONS IN COMPUTING SERVICES | January 2025 | September 2025 | Allow | 9 | 0 | 0 | Yes | No |
| 19006784 | INGESTION AND SEGMENTATION OF REAL-TIME EVENT DATA | December 2024 | March 2025 | Allow | 3 | 0 | 0 | Yes | No |
| 19003197 | MODEL FRAMEWORK FOR MEDIA CONTENT RECOMMENDATIONS | December 2024 | September 2025 | Allow | 9 | 0 | 0 | Yes | No |
| 19002062 | System and Method for Secure MATCHING AND Linking of Data Elements Across Independent Data Systems | December 2024 | January 2026 | Allow | 13 | 0 | 0 | Yes | No |
| 18999273 | AUTOMATIC UPDATES TO INSTRUCTION DOCUMENTS USING CROWDSOURCING | December 2024 | February 2026 | Allow | 14 | 0 | 0 | No | No |
| 18987816 | ADAPTIVE DATA SCORING USING MULTI-METRIC INTERACTION ANALYSIS | December 2024 | August 2025 | Allow | 8 | 0 | 0 | No | No |
| 18987887 | INTEGRATING DATA LAKE SEGMENTS WITH CUSTOMER RELATIONSHIP MANAGEMENT SYSTEM | December 2024 | September 2025 | Allow | 9 | 0 | 0 | No | No |
| 18987993 | DYNAMIC ORGANIZATION OF SEARCH RESULTS | December 2024 | November 2025 | Allow | 11 | 0 | 0 | Yes | No |
| 18987214 | Ontology Management System with Explainable AI Integration | December 2024 | September 2025 | Allow | 9 | 0 | 0 | No | No |
| 18986521 | PERFORMING UNIFIED SEARCH USING A HYBRID SEARCH INDEX | December 2024 | September 2025 | Allow | 9 | 0 | 0 | Yes | No |
| 18985750 | INGESTION AND SEGMENTATION OF REAL-TIME EVENT DATA | December 2024 | March 2025 | Allow | 3 | 0 | 0 | Yes | No |
| 18979120 | QUERY OPTIMIZATION AND DISTRIBUTION | December 2024 | September 2025 | Allow | 9 | 0 | 0 | No | No |
| 18979009 | QUERY MANAGEMENT SYSTEM FOR APPLICATION SERVICE PLATFORM | December 2024 | July 2025 | Allow | 7 | 0 | 0 | No | No |
| 18953584 | SYSTEMS AND METHODS FOR MAPPING COLUMNS ACROSS DATABASES | November 2024 | February 2025 | Allow | 3 | 0 | 0 | Yes | No |
| 18945173 | Dynamic Agenda Item Coverage Prediction | November 2024 | July 2025 | Allow | 8 | 0 | 0 | Yes | No |
| 18945268 | GRAPH DATABASE STORAGE ENGINE | November 2024 | January 2026 | Allow | 14 | 1 | 0 | No | No |
| 18862476 | METHOD AND APPARATUS FOR SEARCH RESULT PRESENTATION | November 2024 | August 2025 | Allow | 9 | 0 | 0 | No | No |
| 18931421 | MANAGING RESOURCES USING A GRAPH INFERENCE MODEL TO INFER TAGS | October 2024 | July 2025 | Allow | 9 | 0 | 0 | No | No |
| 18932179 | METHODS AND SYSTEMS FOR PROVIDING QUERY METRICS | October 2024 | August 2025 | Allow | 9 | 0 | 0 | No | No |
| 18925675 | SORTED ENTROPY CHUNKS FOR HIGHER SPACE REDUCTION | October 2024 | June 2025 | Allow | 8 | 0 | 0 | Yes | No |
| 18922230 | SYSTEMS AND METHODS FOR DYNAMIC CROSS-CONTEXTUAL IMPLEMENTATION | October 2024 | October 2025 | Allow | 12 | 1 | 0 | No | No |
| 18919116 | DECONSTRUCTING GRAPHS USING A DATABASE MANAGEMENT APPROACH | October 2024 | July 2025 | Allow | 9 | 0 | 0 | No | No |
| 18916406 | MACHINE LEARNING ARCHITECTURE FOR CONTEXTUAL DATA RETRIEVAL | October 2024 | February 2025 | Allow | 4 | 0 | 0 | Yes | No |
| 18910952 | SEMANTIC ENTITY SEARCH USING VECTOR SPACE | October 2024 | July 2025 | Allow | 9 | 0 | 0 | Yes | No |
| 18909916 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM | October 2024 | October 2025 | Allow | 12 | 1 | 0 | Yes | No |
| 18899531 | CONFIGURABLE INTERACTIVE COMPONENTS FOR STRUCTURED QUERY RESULTS | September 2024 | July 2025 | Allow | 10 | 0 | 0 | Yes | No |
| 18895080 | CAUSAL ANALYSIS WITH TIME SERIES DATA | September 2024 | October 2025 | Allow | 13 | 1 | 0 | No | No |
| 18893785 | AUTOMATIC GENERATION OF DATA OBJECTS FROM USER INPUT | September 2024 | May 2025 | Allow | 8 | 0 | 0 | No | No |
| 18827377 | DATA REPLICATION AND DATA FAILOVER IN DATA STORAGE SYSTEMS | September 2024 | June 2025 | Allow | 9 | 0 | 0 | Yes | No |
| 18822158 | System And Method For Labeling Objects For Use In Vehicle Movement | August 2024 | April 2025 | Allow | 8 | 0 | 0 | Yes | No |
| 18815619 | PERFORMING UNIFIED SEARCH USING A HYBRID SEARCH INDEX | August 2024 | November 2024 | Allow | 3 | 0 | 0 | Yes | No |
| 18810309 | SEARCHING AND NAVIGATING VIEWING RESULTS | August 2024 | October 2025 | Abandon | 14 | 1 | 0 | No | No |
| 18804648 | LLM-BASED RECOMMENDER SYSTEM FOR DATA CATALOG | August 2024 | June 2025 | Allow | 10 | 0 | 0 | No | No |
| 18794751 | SYSTEMS AND METHODS FOR AUTOMATICALLY RECOMMENDING CONTENT | August 2024 | September 2025 | Allow | 13 | 1 | 0 | No | No |
| 18768865 | INGESTION AND SEGMENTATION OF REAL-TIME EVENT DATA | July 2024 | October 2024 | Allow | 3 | 0 | 0 | Yes | No |
| 18760565 | METHODS AND SYSTEMS FOR MODIFYNG A SEARCH QUERY HAVING A NON-CHARACTER-BASED INPUT | July 2024 | August 2025 | Allow | 14 | 1 | 0 | No | No |
| 18759517 | FILTERING MATERIALS BASED ON USER INTENT CAPTURE USING LARGE LANGUAGE MODELS | June 2024 | April 2025 | Allow | 9 | 0 | 0 | No | No |
| 18754659 | SYSTEMS AND METHODS FOR QUERYING INCIDENT INVESTIGATIONS | June 2024 | October 2025 | Allow | 16 | 0 | 0 | No | No |
| 18742044 | System and method of joining research studies to extract analytical insights for enabling cross-study analysis | June 2024 | February 2025 | Allow | 8 | 0 | 0 | Yes | No |
| 18736351 | SYSTEMS AND METHODS OF CHAINED CONVERSATIONAL PROMPT ENGINEERING FOR INFORMATION RETRIEVAL | June 2024 | February 2025 | Allow | 8 | 0 | 0 | No | No |
| 18735249 | INTERACTIVE AND DYNAMIC MAPPING ENGINE (IDME) | June 2024 | January 2025 | Allow | 7 | 0 | 0 | Yes | No |
| 18680374 | DATA AGGREGATOR GRAPHICAL USER INTERFACE | May 2024 | November 2024 | Allow | 5 | 1 | 0 | Yes | No |
| 18673111 | PROVIDING AN OBJECT-BASED RESPONSE TO A NATURAL LANGUAGE QUERY | May 2024 | February 2025 | Allow | 9 | 0 | 0 | Yes | No |
| 18651598 | SYSTEM AND METHOD FOR PERSONALIZING LARGE LANGUAGE MODELS IN QUERY SYSTEMS | April 2024 | September 2025 | Allow | 16 | 1 | 0 | Yes | No |
| 18646423 | METHODS AND SYSTEMS FOR PROCESSING CONFIGURATION MANAGEMENT DATABASE DATA | April 2024 | August 2025 | Allow | 16 | 1 | 0 | No | No |
| 18643248 | System and Methods for Extracting Statistical Information From Documents | April 2024 | June 2025 | Abandon | 14 | 1 | 0 | No | No |
| 18643594 | NATURAL LANGUAGE QUERY GENERATION FOR FEATURE STORES USING ZERO SHOT LEARNING | April 2024 | May 2025 | Allow | 13 | 0 | 0 | No | No |
| 18627018 | SYSTEMS AND METHODS FOR RANKING USER CAPABILITIES USING MACHINE LEARNING TECHNIQUES | April 2024 | January 2025 | Allow | 10 | 0 | 0 | No | No |
| 18624464 | EXECUTING WORKBOOK CODE WITHIN A CLOUD-BASED DATA WAREHOUSE | April 2024 | August 2025 | Allow | 17 | 2 | 0 | Yes | No |
| 18622411 | SYSTEMS AND METHODS FOR RELATIONAL DATABASE INSIGHT EXTRACTION AND VISUALIZATION | March 2024 | November 2024 | Allow | 7 | 0 | 0 | No | No |
| 18621820 | SEARCH RESULTS FOR PSEUDO-CONTENT | March 2024 | March 2025 | Allow | 11 | 0 | 0 | Yes | No |
| 18620019 | Dynamically Instantiated Complex Query Processing | March 2024 | December 2024 | Allow | 9 | 0 | 0 | No | No |
| 18609405 | AUTOMATIC QUERY AND DATA RETRIEVAL OPTIMIZATION THROUGH PROCEDURAL GENERATION OF DATA TABLES FROM QUERY PATTERNS | March 2024 | March 2025 | Allow | 12 | 0 | 0 | No | No |
| 18591607 | SYSTEMS AND METHODS FOR SEARCHING DATABASE STRUCTURES USING SEMANTICALLY AND CATEGORICALLY SIMILAR QUERIES | February 2024 | May 2025 | Allow | 14 | 0 | 0 | No | No |
| 18444078 | ENHANCED SEARCHING USING FINE-TUNED MACHINE LEARNING MODELS | February 2024 | February 2025 | Allow | 12 | 0 | 0 | Yes | No |
| 18443857 | MACHINE REASONING AS A SERVICE | February 2024 | December 2024 | Allow | 10 | 0 | 0 | Yes | No |
| 18440593 | ADAPTING EMBEDDINGS FOR CUSTOM RETRIEVAL | February 2024 | February 2026 | Allow | 24 | 0 | 0 | No | No |
| 18436116 | FLEXIBLE, SCALABLE GRAPH-PROCESSING ACCELERATOR | February 2024 | October 2024 | Allow | 8 | 0 | 0 | Yes | No |
| 18430843 | SYSTEM AND METHOD FOR EFFECTIVE COMPRESSION REPRESENTATION AND DECOMPRESSION OF DIVERSE TABULATED DATA | February 2024 | June 2025 | Allow | 16 | 2 | 0 | No | No |
| 18416602 | TECHNIQUES FOR IDENTIFYING SEMANTICALLY RELEVANT SEARCH RESULTS | January 2024 | December 2024 | Allow | 10 | 0 | 0 | No | No |
| 18415551 | MACHINE LEARNED MODELS FOR SEARCH AND RECOMMENDATIONS | January 2024 | January 2025 | Allow | 12 | 1 | 0 | Yes | No |
| 18405617 | Shard Adjustment Method, Apparatus, and Device for Time Series Database, and Readable Storage Medium | January 2024 | September 2024 | Allow | 8 | 0 | 0 | Yes | No |
| 18403947 | DEPLOYMENT TO CLUSTER GROUPS ACROSS MULTIPLE REGIONS | January 2024 | February 2025 | Allow | 14 | 1 | 0 | No | No |
| 18396767 | ON-DEMAND IMAGE LAYER RETRIEVAL | December 2023 | December 2024 | Allow | 11 | 0 | 0 | Yes | No |
| 18542207 | OPTIMIZING TEXT FILTERING QUERIES ON GRAPH DATA | December 2023 | April 2025 | Allow | 16 | 1 | 0 | No | No |
| 18540496 | QUERY PERFORMANCE PREDICTION USING MULTIPLE EXPERTS | December 2023 | November 2024 | Allow | 11 | 0 | 0 | No | No |
| 18539099 | CONFIGURATION-DRIVEN EFFICIENT TRANSFORMATION OF FORMATS AND OBJECT STRUCTURES FOR DATA SPECIFICATIONS IN COMPUTING SERVICES | December 2023 | September 2024 | Allow | 9 | 0 | 0 | No | No |
| 18522967 | CONNECTION RECOMMENDATION AND COLLABORATION | November 2023 | August 2025 | Allow | 21 | 2 | 0 | No | No |
| 18521027 | NOTEBOOKS WITH CACHED RESULTS | November 2023 | July 2024 | Allow | 8 | 0 | 0 | Yes | No |
| 18516075 | SYSTEM FOR MANAGING VENDOR DATA | November 2023 | April 2025 | Allow | 17 | 0 | 0 | Yes | No |
| 18513484 | IN-MEMORY DATABASE (IMDB) ACCELERATION THROUGH NEAR DATA PROCESSING | November 2023 | January 2025 | Allow | 14 | 2 | 0 | Yes | No |
| 18512183 | COMPUTER-IMPLEMENTED DATA STRUCTURE, ELECTRONIC STORAGE MEDIUM, AND METHOD FOR DATA EXCHANGE | November 2023 | October 2024 | Allow | 11 | 0 | 0 | No | No |
| 18497635 | SORTED ENTROPY CHUNKS FOR HIGHER SPACE REDUCTION | October 2023 | August 2024 | Allow | 10 | 0 | 0 | No | No |
| 18495325 | DATA AGGREGATOR GRAPHICAL USER INTERFACE | October 2023 | March 2024 | Allow | 4 | 0 | 0 | Yes | No |
| 18491541 | PRESENTATION METHOD, APPARATUS AND ELECTRONIC DEVICE | October 2023 | March 2024 | Allow | 5 | 0 | 0 | Yes | No |
| 18382111 | MODEL FRAMEWORK FOR MEDIA CONTENT RECOMMENDATIONS | October 2023 | September 2024 | Allow | 11 | 0 | 0 | No | No |
| 18380771 | SYSTEMS AND METHODS FOR AUTOMATICALLY RECOMMENDING CONTENT | October 2023 | May 2024 | Allow | 7 | 0 | 0 | Yes | No |
| 18484943 | TEXT EMBEDDING-BASED SEARCH TAXONOMY GENERATION AND INTELLIGENT REFINEMENT | October 2023 | August 2024 | Allow | 10 | 0 | 0 | Yes | No |
| 18476535 | OFFSET-BASED WATERMARKS FOR DATA STREAM PROCESSING | September 2023 | June 2024 | Allow | 9 | 0 | 0 | Yes | No |
| 18475849 | Data Compression Method and Apparatus | September 2023 | March 2025 | Allow | 18 | 0 | 0 | Yes | No |
| 18476207 | USER-SPECIFIED CHAINS & ROW VERSIONS IN A BLOCKCHAIN TABLE | September 2023 | August 2024 | Allow | 11 | 0 | 0 | No | No |
| 18373018 | METHODS AND SYSTEMS FOR AUTOMATED SUSTAINABILITY AND MANAGEMENT OF A CLOUD INFRASTRUCTURE | September 2023 | March 2025 | Abandon | 17 | 1 | 0 | No | No |
| 18473527 | Data Relevance-Based Data Retention in Data Lakehouses | September 2023 | September 2024 | Allow | 12 | 0 | 0 | Yes | No |
| 18471829 | METHODS AND SYSTEMS FOR SPATIO-TEMPORAL REGULAR EXPRESSION MATCHING | September 2023 | March 2025 | Allow | 17 | 2 | 0 | No | No |
| 18467685 | METHODS AND SYSTEMS FOR CONNECTING DATA WITH NON-STANDARDIZED SCHEMAS IN CONNECTED GRAPH DATA EXCHANGES | September 2023 | August 2024 | Allow | 12 | 1 | 0 | No | No |
| 18466709 | SYSTEMS AND METHODS FOR DYNAMIC CROSS-CONTEXTUAL IMPLEMENTATION | September 2023 | July 2024 | Allow | 10 | 0 | 0 | No | No |
| 18464814 | SYSTEMS AND METHODS FOR DETECTING FALSE DATA ENTITIES USING MULTI-STAGE COMPUTATION | September 2023 | January 2025 | Allow | 16 | 1 | 0 | Yes | No |
| 18244593 | DETERMINATION OF USER INTENTION-BASED REPRESENTATIONS OF INTERNET RESOURCE IDENTIFICATION ITEMS AND SELECTION OF CONTENT ITEMS | September 2023 | May 2024 | Allow | 8 | 0 | 0 | Yes | No |
| 18242704 | QUERY PERFORMANCE DISCOVERY AND IMPROVEMENT | September 2023 | December 2024 | Allow | 16 | 1 | 0 | Yes | No |
| 18459814 | DATA EXTRACTION FROM A MULTIDIMENSIONAL DATA STRUCTURE | September 2023 | July 2024 | Allow | 11 | 1 | 0 | Yes | No |
This analysis examines appeal outcomes and the strategic value of filing appeals for examiner CASANOVA, JORGE A.
With a 44.4% reversal rate, the PTAB reverses the examiner's rejections in a meaningful percentage of cases. This reversal rate is above the USPTO average, indicating that appeals have better success here than typical.
Filing a Notice of Appeal can sometimes lead to allowance even before the appeal is fully briefed or decided by the PTAB. This occurs when the examiner or their supervisor reconsiders the rejection during the mandatory appeal conference (MPEP § 1207.01) after the appeal is filed.
In this dataset, 25.9% of applications that filed an appeal were subsequently allowed. This appeal filing benefit rate is below the USPTO average, suggesting that filing an appeal has limited effectiveness in prompting favorable reconsideration.
✓ Appeals to PTAB show good success rates. If you have a strong case on the merits, consider fully prosecuting the appeal to a Board decision.
⚠ Filing a Notice of Appeal shows limited benefit. Consider other strategies like interviews or amendments before appealing.
Examiner CASANOVA, JORGE A works in Art Unit 2165 and has examined 431 patent applications in our dataset. With an allowance rate of 94.2%, this examiner allows applications at a higher rate than most examiners at the USPTO. Applications typically reach final disposition in approximately 25 months.
Examiner CASANOVA, JORGE A's allowance rate of 94.2% places them in the 82% percentile among all USPTO examiners. This examiner is more likely to allow applications than most examiners at the USPTO.
On average, applications examined by CASANOVA, JORGE A receive 1.38 office actions before reaching final disposition. This places the examiner in the 21% percentile for office actions issued. This examiner issues significantly fewer office actions than most examiners.
The median time to disposition (half-life) for applications examined by CASANOVA, JORGE A is 25 months. This places the examiner in the 78% percentile for prosecution speed. Applications move through prosecution relatively quickly with this examiner.
Conducting an examiner interview provides a +10.1% benefit to allowance rate for applications examined by CASANOVA, JORGE A. This interview benefit is in the 43% percentile among all examiners. Recommendation: Interviews provide a below-average benefit with this examiner.
When applicants file an RCE with this examiner, 30.2% of applications are subsequently allowed. This success rate is in the 59% percentile among all examiners. Strategic Insight: RCEs show above-average effectiveness with this examiner. Consider whether your amendments or new arguments are strong enough to warrant an RCE versus filing a continuation.
This examiner enters after-final amendments leading to allowance in 48.2% of cases where such amendments are filed. This entry rate is in the 73% percentile among all examiners. Strategic Recommendation: This examiner shows above-average receptiveness to after-final amendments. If your amendments clearly overcome the rejections and do not raise new issues, consider filing after-final amendments before resorting to an RCE.
When applicants request a pre-appeal conference (PAC) with this examiner, 22.2% result in withdrawal of the rejection or reopening of prosecution. This success rate is in the 28% percentile among all examiners. Note: Pre-appeal conferences show below-average success with this examiner. Consider whether your arguments are strong enough to warrant a PAC request.
This examiner withdraws rejections or reopens prosecution in 66.7% of appeals filed. This is in the 48% percentile among all examiners. Of these withdrawals, 16.7% occur early in the appeal process (after Notice of Appeal but before Appeal Brief). Strategic Insight: This examiner shows below-average willingness to reconsider rejections during appeals. Be prepared to fully prosecute appeals if filed.
When applicants file petitions regarding this examiner's actions, 25.4% are granted (fully or in part). This grant rate is in the 13% percentile among all examiners. Strategic Note: Petitions are rarely granted regarding this examiner's actions compared to other examiners. Ensure you have a strong procedural basis before filing a petition, as the Technology Center Director typically upholds this examiner's decisions.
Examiner's Amendments: This examiner makes examiner's amendments in 0.2% of allowed cases (in the 53% percentile). This examiner makes examiner's amendments more often than average to place applications in condition for allowance (MPEP § 1302.04).
Quayle Actions: This examiner issues Ex Parte Quayle actions in 0.5% of allowed cases (in the 55% percentile). This examiner issues Quayle actions more often than average when claims are allowable but formal matters remain (MPEP § 714.14).
Based on the statistical analysis of this examiner's prosecution patterns, here are tailored strategic recommendations:
Not Legal Advice: The information provided in this report is for informational purposes only and does not constitute legal advice. You should consult with a qualified patent attorney or agent for advice specific to your situation.
No Guarantees: We do not provide any guarantees as to the accuracy, completeness, or timeliness of the statistics presented above. Patent prosecution statistics are derived from publicly available USPTO data and are subject to data quality limitations, processing errors, and changes in USPTO practices over time.
Limitation of Liability: Under no circumstances will IronCrow AI be liable for any outcome, decision, or action resulting from your reliance on the statistics, analysis, or recommendations presented in this report. Past prosecution patterns do not guarantee future results.
Use at Your Own Risk: While we strive to provide accurate and useful prosecution statistics, you should independently verify any information that is material to your prosecution strategy and use your professional judgment in all patent prosecution matters.