Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 18759168 | SYSTEMS AND METHODS FOR MACHINE LEARNING-BASED CLASSIFICATION AND GOVERNANCE OF UNSTRUCTURED DATA USING CURATED VIRTUAL QUEUES | June 2024 | August 2025 | Allow | 14 | 2 | 0 | Yes | No |
| 18732241 | DATABASE OPERATOR CLAUSE VARIABLE CALCULATION IN DISTRIBUTED SYSTEMS | June 2024 | February 2026 | Allow | 20 | 3 | 0 | Yes | No |
| 18642294 | AUTOMATIC ARTICLE ENRICHMENT BY SOCIAL MEDIA TRENDS | April 2024 | November 2025 | Allow | 19 | 1 | 0 | Yes | No |
| 18603392 | METHODS AND SYSTEMS FOR SUPPLY CHAIN ANALYTICS USING VISUALIZATIONS AND STANDARDIZATION CONSTRUCTS | March 2024 | January 2026 | Allow | 22 | 1 | 0 | No | No |
| 18461165 | METHODS AND APPARATUS TO PERFORM COMPUTER-BASED COMMUNITY DETECTION IN A NETWORK | September 2023 | December 2025 | Abandon | 28 | 1 | 0 | No | No |
| 18077889 | COMPUTER-IMPLEMENTED METHOD OF SEARCHING LARGE-VOLUME UN-STRUCTURED DATA WITH FEEDBACK LOOP AND DATA PROCESSING DEVICE OR SYSTEM FOR THE SAME | December 2022 | September 2025 | Abandon | 34 | 1 | 0 | No | No |
| 18046890 | GENERATING SEARCH INSIGHT DATA | October 2022 | January 2024 | Abandon | 16 | 5 | 0 | No | No |
| 17882862 | REDUCING PROBABILISTIC FILTER QUERY LATENCY | August 2022 | June 2025 | Allow | 34 | 1 | 0 | No | No |
| 17881063 | HYBRID POSITIONAL POSTING LISTS | August 2022 | November 2025 | Allow | 39 | 3 | 0 | Yes | No |
| 17879644 | DATA REPLICATION AND RECURSIVE TREE STRUCTURE SEARCHING | August 2022 | March 2026 | Allow | 43 | 3 | 0 | Yes | No |
| 17814694 | Execution-Time Dynamic Range Partitioning Transformations | July 2022 | August 2024 | Allow | 25 | 1 | 0 | Yes | No |
| 17746601 | DISTRIBUTED QUERY PLAN GENERATION | May 2022 | March 2025 | Allow | 34 | 3 | 0 | Yes | No |
| 17733440 | SYSTEM AND METHOD FOR INCREMENTAL VIEW MAINTENANCE BASED ON DIFFERENTIAL CALCULUS OVER NATURAL ALGEBRA OF K-RELATIONS | April 2022 | September 2025 | Abandon | 41 | 2 | 0 | No | No |
| 17733157 | Artificial Intelligence Assisted Transfer Tool | April 2022 | June 2025 | Abandon | 38 | 2 | 0 | Yes | No |
| 17710009 | METHODS, MEDIUMS, AND SYSTEMS FOR REUSABLE INTELLIGENT SEARCH WORKFLOWS | March 2022 | April 2025 | Allow | 36 | 4 | 0 | Yes | Yes |
| 17587498 | Text Recognition Method and Apparatus | January 2022 | November 2024 | Abandon | 34 | 2 | 0 | Yes | No |
| 17483270 | SYSTEM AND METHOD FOR DYNAMIC MEMORY ALLOCATION FOR QUERY EXECUTION | September 2021 | April 2025 | Abandon | 42 | 4 | 0 | No | No |
| 17477563 | ASSESSING DATA RECORDS | September 2021 | August 2025 | Abandon | 47 | 4 | 0 | No | No |
| 17461472 | QUERYING A DATABASE | August 2021 | March 2025 | Abandon | 42 | 4 | 0 | No | No |
| 17460976 | METHODS FOR CATEGORIZING INFORMATION FROM A PLATFORM IN A DOCUMENT MANAGEMENT SYSTEM | August 2021 | April 2024 | Abandon | 31 | 2 | 0 | Yes | No |
| 17380905 | SUBSUMPTION OF VIEWS AND SUBQUERIES | July 2021 | February 2026 | Allow | 55 | 6 | 0 | Yes | No |
| 17362614 | DECENTRALIZED QUERY EVALUATION FOR A DISTRIBUTED GRAPH DATABASE | June 2021 | March 2025 | Abandon | 44 | 4 | 0 | Yes | No |
| 17232118 | METHOD AND DEVICE FOR ESTABLISHING INFORMATION MODEL AND NON-VOLATILE COMPUTER READABLE RECORDING MEDIUM | April 2021 | February 2026 | Abandon | 58 | 6 | 0 | No | No |
| 17206697 | TEXT QUERY METHOD AND APPARATUS, DEVICE AND STORAGE MEDIUM | March 2021 | March 2024 | Abandon | 36 | 3 | 0 | No | No |
| 17207435 | SYSTEMS AND METHODS FOR CREATING ENHANCED DOCUMENTS FOR PERFECT AUTOMATED PARSING | March 2021 | March 2025 | Allow | 48 | 9 | 0 | Yes | No |
| 17157457 | Configurable Hyper-Referenced Associative Object Schema | January 2021 | March 2023 | Abandon | 26 | 1 | 0 | No | No |
| 17147498 | COMPUTERIZED SYSTEMS AND METHODS FOR USING ARTIFICIAL INTELLIGENCE TO OPTIMIZE DATABASE PARAMETERS | January 2021 | September 2022 | Abandon | 20 | 3 | 0 | Yes | No |
| 17133859 | QUERY TREE LABELING AND PROCESSING | December 2020 | March 2024 | Allow | 38 | 2 | 0 | No | No |
| 17065404 | METADATA TABLE RESIZING MECHANISM FOR INCREASING SYSTEM PERFORMANCE | October 2020 | May 2025 | Abandon | 56 | 6 | 0 | Yes | No |
| 17023039 | Method And Apparatus For Retrieving Video, Device And Medium | September 2020 | October 2023 | Abandon | 37 | 2 | 0 | No | No |
| 16985324 | VIRTUAL DATASET MANAGEMENT DATABASE SYSTEM | August 2020 | May 2024 | Abandon | 45 | 4 | 0 | Yes | No |
| 16984483 | GENERATING ENTITY RELATION SUGGESTIONS WITHIN A CORPUS | August 2020 | March 2024 | Abandon | 43 | 4 | 0 | Yes | No |
| 16945578 | GENERATING AND STORING AGGREGATE DATA SLICES IN A REMOTE SHARED STORAGE SYSTEM | July 2020 | January 2025 | Allow | 54 | 5 | 0 | Yes | No |
| 16916433 | SYSTEM AND METHOD FOR IDENTIFYING PAIRS OF RELATED INFORMATION ITEMS | June 2020 | March 2024 | Abandon | 44 | 4 | 0 | No | No |
| 16895992 | REPLY INFORMATION OBTAINING METHOD AND APPARATUS | June 2020 | July 2024 | Abandon | 49 | 6 | 0 | Yes | No |
| 16894495 | NEURAL NETWORK BASED TRANSLATION OF NATURAL LANGUAGE QUERIES TO DATABASE QUERIES | June 2020 | August 2022 | Allow | 26 | 1 | 0 | No | No |
| 16878551 | METADATA TABLE RESIZING MECHANISM FOR INCREASING SYSTEM PERFORMANCE | May 2020 | July 2024 | Abandon | 50 | 6 | 0 | Yes | No |
| 16872238 | Execution-Time Dynamic Range Partitioning Transformations | May 2020 | April 2022 | Allow | 23 | 1 | 0 | Yes | No |
| 16866081 | PARTIAL UPDATES IN DATA COLLECTIONS IN A DATA STORAGE SYSTEM | May 2020 | January 2024 | Abandon | 45 | 4 | 0 | Yes | No |
| 16754702 | METHOD AND APPARATUS FOR ANALYZING DATA | April 2020 | December 2022 | Abandon | 33 | 2 | 0 | No | No |
| 16829426 | SYNC AS A SERVICE FOR CLOUD-BASED APPLICATIONS | March 2020 | November 2022 | Abandon | 32 | 2 | 0 | Yes | No |
| 16818464 | METHOD AND APPARATUS FOR IMPLEMENTING AN N-DIMENSIONAL HYPERCUBE VISUALIZATION MODULE | March 2020 | January 2024 | Abandon | 46 | 4 | 0 | Yes | Yes |
| 16796504 | CONNECTING STORYBOARD SYSTEM TO EDITORIAL SYSTEM | February 2020 | August 2025 | Abandon | 60 | 10 | 0 | No | No |
| 16792473 | SYSTEM AND METHODS FOR CONSOLIDATING ACCOUNT DATA | February 2020 | November 2022 | Abandon | 33 | 7 | 0 | No | No |
| 16782025 | TECHNIQUES FOR EXECUTING JOIN OPERATIONS USING BITMAP INDICES | February 2020 | June 2024 | Allow | 52 | 6 | 0 | Yes | No |
| 16749523 | REDUCING PROBABILISTIC FILTER QUERY LATENCY | January 2020 | March 2022 | Allow | 26 | 1 | 0 | No | No |
| 16704934 | Optimizing the Execution Order between Analytical Functions and Joins in SQL Queries | December 2019 | April 2022 | Allow | 28 | 1 | 0 | Yes | No |
| 16678984 | Dynamic Audio File Generation | November 2019 | January 2026 | Allow | 60 | 6 | 0 | Yes | Yes |
| 16677427 | INDICATING SYNONYM RELATIONSHIPS USING SEMANTIC GRAPH DATA | November 2019 | January 2024 | Abandon | 50 | 4 | 0 | No | No |
| 16578017 | OBJECT CODING IN A HOST-SIDE PROCESSING DEVICE | September 2019 | August 2024 | Abandon | 59 | 8 | 0 | Yes | Yes |
| 16529783 | METHOD APPARATUS AND SYSTEM FOR RECEIVING AND WEIGHTING NONSCHEMA DATA ENTRIES IN SPATIAL INSTANCES OF HETEROGENEOUS DATABASES | August 2019 | October 2022 | Abandon | 38 | 1 | 0 | No | No |
| 16431092 | UTILIZING MACHINE LEARNING TO DETERMINE DATA STORAGE PRUNING PARAMETERS | June 2019 | September 2022 | Allow | 39 | 4 | 0 | Yes | No |
| 16406559 | Validation Of Operating Plans And Schedules Using Machine Learning | May 2019 | January 2024 | Allow | 56 | 7 | 0 | Yes | No |
| 16401257 | HANDLING METADATA OPERATIONS AND TIMESTAMP CHANGES DURING RESYNCHRONIZATION | May 2019 | May 2022 | Allow | 37 | 2 | 0 | Yes | No |
| 16372970 | Classification of Operating Plan Data Using Machine Learning | April 2019 | January 2022 | Allow | 34 | 1 | 0 | No | No |
| 16372652 | HYBRID COMPILATION FRAMEWORK FOR ARBITRARY AD-HOC IMPERATIVE FUNCTIONS IN DATABASE QUERIES | April 2019 | May 2022 | Abandon | 38 | 3 | 0 | Yes | No |
| 16373103 | INDEX COMPRESSION USING REORDERING AND SELF-UPDATES | April 2019 | March 2025 | Allow | 60 | 7 | 0 | Yes | Yes |
| 16372553 | METHOD OF AND SYSTEM FOR DETERMINING USER-SPECIFIC PROPORTIONS OF CONTENT FOR RECOMMENDATION | April 2019 | October 2021 | Allow | 31 | 1 | 0 | No | No |
| 16371049 | SYSTEMS AND METHODS FOR UPDATING FIELD VALUE PAIRS OF A RECORD OBJECT USING ELECTRONIC ACTIVITIES MATCHED TO THE RECORD OBJECT | March 2019 | December 2022 | Abandon | 44 | 6 | 0 | Yes | No |
| 16370307 | TECHNIQUES TO DETERMINE PORTFOLIO RELEVANT ARTICLES | March 2019 | February 2026 | Abandon | 60 | 9 | 0 | No | Yes |
| 16370440 | DELETING DATA IN STORAGE SYSTEMS THAT PERFORM GARBAGE COLLECTION | March 2019 | February 2025 | Abandon | 60 | 7 | 0 | No | No |
| 16370174 | METHODS AND SYSTEMS FOR SUPPLY CHAIN ANALYTICS | March 2019 | December 2023 | Allow | 56 | 5 | 0 | Yes | Yes |
| 16286164 | USING CACHE AND BLOOM FILTERS FOR URL LOOKUPS | February 2019 | December 2023 | Abandon | 57 | 5 | 0 | Yes | Yes |
| 16191771 | END-TO-END AUTOMATED SYSTEM FOR PERFORMING AN ACTION AS A RESULT OF PROCESSING UNSTRUCTURED DATA MISSION | November 2018 | August 2022 | Abandon | 45 | 4 | 0 | No | No |
| 16191700 | RESYNCHRONIZATION TO A FILESYSTEM SYNCHRONOUS REPLICATION RELATIONSHIP ENDPOINT | November 2018 | June 2022 | Allow | 43 | 5 | 0 | Yes | No |
| 16192688 | SEARCH ENGINE USER INTERFACE AI SKINNING | November 2018 | March 2022 | Abandon | 40 | 3 | 0 | Yes | No |
| 16111587 | HANDLING OF AN INDEX UPDATE OF TIME SERIES DATA | August 2018 | September 2023 | Allow | 60 | 5 | 0 | No | Yes |
| 16104004 | DYNAMIC AUDIO FILE GENERATION | August 2018 | December 2022 | Abandon | 52 | 2 | 0 | No | Yes |
| 15962976 | DATABASE SYSTEM, TRANSACTION MANAGEMENT NODE, METHOD, AND MEDIUM | April 2018 | March 2022 | Abandon | 47 | 3 | 0 | Yes | No |
| 15901832 | Using Typestyles to Prioritize and Rank Search Results | April 2018 | June 2022 | Abandon | 52 | 4 | 0 | No | No |
| 15919469 | Multi-Version Concurrency Control Method in Database and Database System | March 2018 | April 2022 | Abandon | 49 | 4 | 0 | Yes | No |
| 15870675 | DATA SNAPSHOT ACQUISITION METHOD AND SYSTEM | January 2018 | December 2022 | Abandon | 59 | 6 | 0 | No | No |
| 15804092 | Sorting of Numeric Values Using an Identification of Superlative Adjectives | November 2017 | June 2023 | Abandon | 60 | 6 | 0 | Yes | Yes |
| 15784839 | NETWORK-BASED CUSTOMIZED BROWSING NOTIFICATIONS | October 2017 | October 2022 | Abandon | 60 | 6 | 0 | Yes | No |
| 15681043 | Sorting of Numeric Values Using an Identification of Superlative Adjectives | August 2017 | June 2023 | Abandon | 60 | 6 | 0 | Yes | Yes |
| 15488856 | SYSTEM AND METHOD FOR BUILDING A DWARF DATA STRUCTURE | April 2017 | August 2022 | Abandon | 60 | 7 | 0 | Yes | No |
| 15489080 | Multi-Factor Document Analysis | April 2017 | July 2022 | Abandon | 60 | 6 | 0 | Yes | No |
| 15238675 | INTELLIGENT ONLINE PERSONAL ASSISTANT WITH NATURAL LANGUAGE UNDERSTANDING | August 2016 | November 2021 | Abandon | 60 | 5 | 0 | Yes | No |
| 15119320 | METHOD OF PROVIDING SEARCH RESULTS AND SYSTEM FOR PERFORMING THE METHOD | August 2016 | November 2021 | Abandon | 60 | 6 | 0 | Yes | No |
| 15238567 | METHODS AND PROCEDURES FOR TIMESTAMP-BASED INDEXING OF ITEMS IN REAL-TIME STORAGE | August 2016 | August 2024 | Allow | 60 | 12 | 1 | Yes | Yes |
| 15134227 | GENERATING MOBILE-FRIENDLINESS SCORES FOR RESOURCES | April 2016 | January 2025 | Abandon | 60 | 8 | 0 | Yes | Yes |
| 15133188 | QUALITY MONITORING AUTOMATION IN CONTACT CENTERS | April 2016 | May 2022 | Abandon | 60 | 6 | 0 | No | No |
| 15133090 | CLUSTERING FOR SOCIAL MEDIA DATA | April 2016 | May 2025 | Abandon | 60 | 10 | 0 | Yes | Yes |
| 15132638 | EXTRACTION OF AUDIT TRAILS | April 2016 | December 2020 | Abandon | 56 | 7 | 0 | No | No |
| 14730358 | AUTOMATIC ARTICLE ENRICHMENT BY SOCIAL MEDIA TRENDS | June 2015 | January 2024 | Allow | 60 | 15 | 1 | Yes | No |
| 14722419 | Method, Terminal And System For Transmitting File Between Multiple Terminals | May 2015 | November 2023 | Abandon | 60 | 10 | 0 | Yes | No |
| 14702344 | METHOD AND SYSTEM FOR RETRIEVING REAL-TIME INFORMATION ORGANIZED AS INVERTED REAL-TIME DATA BLOCKS USING TIMESTAMP SKIP LISTS | May 2015 | March 2022 | Abandon | 60 | 6 | 0 | Yes | No |
| 14592239 | SYSTEM FOR REFERRING TO AND/OR EMBEDDING POSTS WITHIN OTHER POST AND POSTS WITHIN ANY PART OF ANOTHER POST | January 2015 | May 2023 | Abandon | 60 | 6 | 0 | No | Yes |
| 14316250 | WELDING SYSTEM DATA MANAGEMENT SYSTEM AND METHOD | June 2014 | December 2021 | Allow | 60 | 6 | 0 | Yes | Yes |
| 14292662 | CO-LOCATE OBJECTS REQUEST | May 2014 | March 2022 | Abandon | 60 | 6 | 0 | No | Yes |
| 13599007 | INTRA-BLOCK PARTITIONING FOR DATABASE MANAGEMENT | August 2012 | August 2016 | Allow | 48 | 6 | 0 | Yes | No |
| 13485707 | INTRA-BLOCK PARTITIONING FOR DATABASE MANAGEMENT | May 2012 | August 2016 | Allow | 51 | 6 | 0 | Yes | No |
| 13177389 | Method to Optimally Link Information and Humans using Human Referral Signals | July 2011 | February 2014 | Allow | 31 | 1 | 0 | Yes | No |
| 13040210 | APPLYING A POLICY CRITERIA TO FILES IN A BACKUP IMAGE | March 2011 | May 2012 | Allow | 15 | 1 | 0 | Yes | No |
| 12697159 | SERIAL AND PARALLEL METHODS FOR I/O EFFICIENT SUFFIX TREE CONSTRUCTION | January 2010 | August 2014 | Allow | 54 | 2 | 0 | No | No |
| 12697013 | Systems and Methods for Dynamic Generation of Multiple Content Alternatives for Content Management Systems | January 2010 | February 2022 | Abandon | 60 | 10 | 0 | No | Yes |
| 12697093 | TRANSFORMATION OF DIRECTED ACYCLIC GRAPH QUERY PLANS TO LINEAR QUERY PLANS | January 2010 | May 2012 | Allow | 27 | 0 | 0 | Yes | No |
| 12546816 | System and Method for Managing Directories for a Database System Having an In-Memory Database | August 2009 | December 2014 | Allow | 60 | 3 | 0 | Yes | No |
| 11912900 | Visualization Technique for Biological Information | January 2008 | September 2013 | Allow | 60 | 2 | 0 | No | No |
| 11865559 | FAILURE DATA COLLECTION SYSTEM APPARATUS AND METHOD | October 2007 | March 2014 | Allow | 60 | 4 | 0 | Yes | No |
This analysis examines appeal outcomes and the strategic value of filing appeals for examiner WILLIS, AMANDA LYNN.
With a 20.0% reversal rate, the PTAB affirms the examiner's rejections in the vast majority of cases. This reversal rate is below the USPTO average, indicating that appeals face more challenges 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, 17.4% of applications that filed an appeal were subsequently allowed. This appeal filing benefit rate is in the bottom 25% across the USPTO, indicating that filing appeals is less effective here than in most other areas.
⚠ Appeals to PTAB face challenges. Ensure your case has strong merit before committing to full Board review.
⚠ Filing a Notice of Appeal shows limited benefit. Consider other strategies like interviews or amendments before appealing.
Examiner WILLIS, AMANDA LYNN works in Art Unit 2156 and has examined 88 patent applications in our dataset. With an allowance rate of 39.8%, this examiner allows applications at a lower rate than most examiners at the USPTO. Applications typically reach final disposition in approximately 50 months.
Examiner WILLIS, AMANDA LYNN's allowance rate of 39.8% places them in the 7% percentile among all USPTO examiners. This examiner is less likely to allow applications than most examiners at the USPTO.
On average, applications examined by WILLIS, AMANDA LYNN receive 4.75 office actions before reaching final disposition. This places the examiner in the 99% percentile for office actions issued. This examiner issues more office actions than most examiners, which may indicate thorough examination or difficulty in reaching agreement with applicants.
The median time to disposition (half-life) for applications examined by WILLIS, AMANDA LYNN is 50 months. This places the examiner in the 5% percentile for prosecution speed. Applications take longer to reach final disposition with this examiner compared to most others.
Conducting an examiner interview provides a +23.2% benefit to allowance rate for applications examined by WILLIS, AMANDA LYNN. This interview benefit is in the 69% percentile among all examiners. Recommendation: Interviews provide an above-average benefit with this examiner and are worth considering.
When applicants file an RCE with this examiner, 8.1% of applications are subsequently allowed. This success rate is in the 4% percentile among all examiners. Strategic Insight: RCEs show lower effectiveness with this examiner compared to others. Consider whether a continuation application might be more strategic, especially if you need to add new matter or significantly broaden claims.
This examiner enters after-final amendments leading to allowance in 2.3% of cases where such amendments are filed. This entry rate is in the 4% percentile among all examiners. Strategic Recommendation: This examiner rarely enters after-final amendments compared to other examiners. You should generally plan to file an RCE or appeal rather than relying on after-final amendment entry. Per MPEP § 714.12, primary examiners have discretion in entering after-final amendments, and this examiner exercises that discretion conservatively.
When applicants request a pre-appeal conference (PAC) with this examiner, 75.0% result in withdrawal of the rejection or reopening of prosecution. This success rate is in the 60% percentile among all examiners. Strategic Recommendation: Pre-appeal conferences show above-average effectiveness with this examiner. If you have strong arguments, a PAC request may result in favorable reconsideration.
This examiner withdraws rejections or reopens prosecution in 34.8% of appeals filed. This is in the 5% percentile among all examiners. Of these withdrawals, 50.0% occur early in the appeal process (after Notice of Appeal but before Appeal Brief). Strategic Insight: This examiner rarely withdraws rejections during the appeal process compared to other examiners. If you file an appeal, be prepared to fully prosecute it to a PTAB decision. Per MPEP § 1207, the examiner will prepare an Examiner's Answer maintaining the rejections.
When applicants file petitions regarding this examiner's actions, 61.5% are granted (fully or in part). This grant rate is in the 66% percentile among all examiners. Strategic Note: Petitions show above-average success regarding this examiner's actions. Petitionable matters include restriction requirements (MPEP § 1002.02(c)(2)) and various procedural issues.
Examiner's Amendments: This examiner makes examiner's amendments in 3.4% of allowed cases (in the 81% percentile). Per MPEP § 1302.04, examiner's amendments are used to place applications in condition for allowance when only minor changes are needed. This examiner frequently uses this tool compared to other examiners, indicating a cooperative approach to getting applications allowed. Strategic Insight: If you are close to allowance but minor claim amendments are needed, this examiner may be willing to make an examiner's amendment rather than requiring another round of prosecution.
Quayle Actions: This examiner issues Ex Parte Quayle actions in 0.0% of allowed cases (in the 12% percentile). This examiner rarely issues Quayle actions compared to other examiners. Allowances typically come directly without a separate action for formal matters.
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.