Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 19269109 | DIGITAL HARDWARE CIRCUIT FOR EFFICIENT REDUCTION OPERATIONS USING PARALLEL MATRIX COMPARISON | July 2025 | November 2025 | Allow | 4 | 0 | 0 | No | No |
| 19174371 | SYSTEM AND METHOD FOR PREPROCESSING AND CONDITIONING COSMIC RAY DATA FOR RANDOMNESS GENERATION | April 2025 | October 2025 | Allow | 6 | 1 | 0 | No | No |
| 19090153 | SYSTEM AND METHOD FOR PREPROCESSING AND CONDITIONING COSMIC RAY DATA FOR RANDOMNESS GENERATION | March 2025 | October 2025 | Allow | 7 | 1 | 0 | No | No |
| 19050151 | MULTI-POWER FLOW INTEGRATED PARALLEL QUANTUM COMPUTING METHOD, SYSTEM, AND STORAGE MEDIUM OF POWER SYSTEM | February 2025 | October 2025 | Allow | 8 | 1 | 0 | No | No |
| 19031258 | CURVATURE-BASED SIGNAL SEGMENTATION METHOD FOR SOLAR-BLIND ULTRAVIOLET PHOTODETECTORS | January 2025 | October 2025 | Allow | 9 | 1 | 0 | No | No |
| 19021645 | PROCESSING WITH COMPACT ARITHMETIC PROCESSING ELEMENT | January 2025 | July 2025 | Allow | 6 | 2 | 0 | No | No |
| 19021660 | PROCESSING WITH COMPACT ARITHMETIC PROCESSING ELEMENT | January 2025 | October 2025 | Allow | 9 | 2 | 0 | No | No |
| 18767411 | SYSTOLIC ARRAY INCLUDING FUSED MULTIPLY ACCUMULATE WITH EFFICIENT PRENORMALIZATION AND EXTENDED DYNAMIC RANGE | July 2024 | February 2026 | Allow | 19 | 1 | 0 | No | No |
| 18016335 | RANDOM NUMBER GENERATION BASED UPON A RANDOM BIT SOURCING FROM ONE OR MORE REGISTERS OF A COMPUTER | January 2023 | October 2025 | Allow | 33 | 1 | 0 | No | No |
| 17790833 | COMPLEX MULTIPLICATION CIRCUIT | July 2022 | March 2026 | Allow | 44 | 0 | 0 | No | No |
| 17789787 | SECURE SQUARE ROOT COMPUTATION SYSTEM, SECURE NORMALIZATION SYSTEM, METHODS THEREFOR, SECURE COMPUTATION APPARATUS, AND PROGRAM | June 2022 | January 2026 | Allow | 43 | 1 | 0 | Yes | No |
| 17771143 | INFORMATION PROCESSING CIRCUIT AND METHOD OF DESIGNING INFORMATION PROCESSING CIRCUIT | April 2022 | March 2026 | Allow | 47 | 1 | 0 | No | No |
| 17700239 | NON-RECTANGULAR MATRIX COMPUTATIONS AND DATA PATTERN PROCESSING USING TENSOR CORES | March 2022 | November 2025 | Allow | 44 | 0 | 0 | No | No |
| 17696448 | FLOATING-POINT CONVERSION WITH DENORMALIZATION | March 2022 | January 2026 | Allow | 46 | 1 | 0 | Yes | No |
| 17655026 | IN-MEMORY RESONATOR NETWORK FOR FACTORIZING HYPERVECTORS | March 2022 | December 2025 | Allow | 45 | 1 | 0 | No | No |
| 17693406 | MEMORY DEVICE WITH IN-MEMORY COMPUTING ARCHITECTURE AND COMPUTING METHOD THEREOF | March 2022 | March 2026 | Allow | 48 | 1 | 0 | No | No |
| 17686147 | COMPUTE-IN-MEMORY SYSTEMS AND METHODS WITH CONFIGURABLE INPUT AND SUMMING UNITS | March 2022 | February 2026 | Allow | 47 | 1 | 0 | No | No |
| 17678339 | COMPUTING DEVICE WITH PIXEL UNSHUFFLE AND PIXEL SHUFFLE OPERATIONS AND COMPUTING METHOD THEREFOR | February 2022 | January 2026 | Allow | 46 | 1 | 0 | No | No |
| 17591114 | DEVICE AND METHOD WITH MULTIDIMENSIONAL VECTOR NEURAL NETWORK | February 2022 | January 2026 | Allow | 47 | 1 | 0 | Yes | No |
| 17630621 | INFORMATION PROCESSING APPARATUS WHICH OBTAINS SUBMATRICES BASED ON AN INPUT SPARSE MATRIX | January 2022 | March 2026 | Allow | 49 | 2 | 0 | No | No |
| 17584041 | QUANTUM PHASE ESTIMATION OF MULTIPLE EIGENVALUES | January 2022 | January 2026 | Allow | 48 | 1 | 0 | No | No |
| 17579489 | PROCESSING COMPONENT THAT INCLUDES AN ARITHMETIC AND LOGIC UNIT (ALU), DATA PROCESSING METHOD APPLIED TO THE PROCESSING COMPONENT, AND RELATED DEVICE | January 2022 | February 2026 | Allow | 48 | 1 | 0 | Yes | No |
| 17573720 | Method for synthesizing a product of Pauli rotations | January 2022 | November 2025 | Allow | 46 | 1 | 0 | No | No |
| 17543471 | NEURAL NETWORK INFERENCE CIRCUIT WITH PIECEWISE LINEAR ACTIVATION CIRCUIT | December 2021 | November 2025 | Allow | 47 | 1 | 0 | No | No |
| 17530452 | SYSTEM AND METHOD TO ACCELERATE GRAPH FEATURE EXTRACTION | November 2021 | December 2025 | Allow | 48 | 1 | 0 | Yes | No |
| 17528472 | BIAS SCALING FOR N-BIT CONSTRAINED HARDWARE ACCELERATION | November 2021 | November 2025 | Allow | 48 | 1 | 0 | No | No |
| 17521846 | WEIGHT-SPARSE NEURAL PROCESSING UNIT WITH MULTI-DIMENSIONAL ROUTING OF NON-ZERO VALUES | November 2021 | December 2025 | Allow | 49 | 1 | 0 | No | No |
| 17510217 | COMPUTATION UNIT, RELATED APPARATUS, AND METHOD | October 2021 | October 2025 | Allow | 48 | 1 | 0 | No | No |
| 17439902 | DIGITAL FILTER DEVICE, OPERATION METHOD FOR DIGITAL FILTER DEVICE, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM STORING PROGRAM | September 2021 | July 2025 | Allow | 46 | 1 | 0 | No | No |
| 17465896 | INFORMATION PROCESSING DEVICE SELECTING FROM AMONG PLURAL ARITHMETIC OPERATION PROGRAMS DIFFERING FROM EACH OTHER WITH RESPECT TO AN ORDER OF OPERATIONS FOR SOLVING A SAME NUMERICAL FORMULA, AND INFORMATION PROCESSING METHOD AND STORAGE MEDIUM | September 2021 | December 2025 | Allow | 52 | 1 | 0 | No | No |
| 17399844 | MULTIPLE OPERATION CIRCUITS, MULTIPLICATION/ACCUMULATION OPERATORS HAVING THE MULTIPLE OPERATION CIRCUITS, AND PROCESSING-IN-MEMORY DEVICES HAVING THE MULTIPLE OPERATION CIRCUITS | August 2021 | December 2025 | Allow | 52 | 2 | 0 | No | No |
| 17307072 | METHOD AND APPARATUS FOR PERFORMING DEEP LEARNING OPERATIONS | May 2021 | November 2025 | Allow | 54 | 2 | 0 | Yes | No |
| 17205433 | NEURAL NETWORK COMPUTING DEVICE INCLUDING ON-DEVICE QUANTIZER, OPERATING METHOD OF NEURAL NETWORK COMPUTING DEVICE, AND COMPUTING DEVICE INCLUDING NEURAL NETWORK COMPUTING DEVICE | March 2021 | November 2025 | Allow | 56 | 1 | 0 | No | No |
| 16577736 | ARITHMETIC LOGIC UNIT FOR SINGLE-CYCLE FUSION OPERATIONS | September 2019 | May 2020 | Allow | 7 | 2 | 0 | No | No |
| 16564788 | OPTIMIZATION DEVICE AND METHOD OF CONTROLLING OPTIMIZATION DEVICE | September 2019 | May 2021 | Allow | 20 | 0 | 0 | No | No |
| 16560245 | POWER SERIES TRUNCATION USING CONSTANT TABLES FOR FUNCTION INTERPOLATION IN TRANSCENDENTAL FUNCTIONS | September 2019 | January 2020 | Allow | 5 | 1 | 0 | No | No |
| 16521576 | Method and system for elastic precision enhancement using dynamic shifting in neural networks | July 2019 | June 2021 | Allow | 23 | 0 | 0 | No | No |
| 16458187 | PROCESSOR FOR CALCULATING MATHEMATICAL FUNCTIONS IN PARALLEL | June 2019 | April 2021 | Abandon | 22 | 1 | 0 | No | No |
| 16426581 | SYSTEM, METHOD, AND RECORDING MEDIUM FOR DIFFERENTIATED AND PARTIAL FEATURE UPDATE IN ALTERNATING LEAST SQUARE | May 2019 | November 2019 | Allow | 6 | 2 | 0 | No | No |
| 16418990 | TRUE RANDOM NUMBER GENERATOR WITH STABLE NODE VOLTAGE | May 2019 | January 2021 | Allow | 20 | 0 | 0 | No | No |
| 16414701 | Circuit and Method for Calculating Non-Linear Functions of Floating-Point Numbers | May 2019 | April 2021 | Allow | 23 | 1 | 0 | No | No |
| 16295152 | AUGMENTING MODEL-TO-MODEL COUPLING WITH HIGH-FREQUENCY OBSERVATIONS | March 2019 | March 2021 | Allow | 24 | 1 | 0 | Yes | No |
| 16276745 | HIGHER ACCURACY OF NON-VOLATILE MEMORY-BASED VECTOR MULTIPLICATION | February 2019 | November 2019 | Allow | 9 | 1 | 0 | No | No |
| 16247922 | TILED COMPRESSED SPARSE MATRIX FORMAT | January 2019 | January 2026 | Allow | 60 | 7 | 0 | Yes | Yes |
| 16202310 | NEGATIVE OPERAND COMPATIBLE CHARGE-SCALING SUBTRACTOR CIRCUIT | November 2018 | March 2020 | Allow | 16 | 0 | 0 | No | No |
| 16145311 | CIRCUIT FOR ADDITION OF MULTIPLE BINARY NUMBERS | September 2018 | May 2019 | Allow | 8 | 2 | 0 | No | No |
| 16140579 | ENTROPY SERVER FOR RANDOM NUMBER GENERATION | September 2018 | February 2021 | Allow | 29 | 3 | 0 | Yes | No |
| 16133845 | GENERATING PSEUDO-RANDOM NUMBERS USING CELLULAR AUTOMATA | September 2018 | January 2020 | Allow | 16 | 1 | 0 | No | No |
| 16041337 | SYSTEM, METHOD, AND RECORDING MEDIUM FOR DIFFERENTIATED AND PARTIAL FEATURE UPDATE IN ALTERNATING LEAST SQUARE | July 2018 | February 2019 | Allow | 7 | 2 | 0 | No | No |
| 16038702 | Random Telegraph Noise Native Device for True Random Number Generator and Noise Injection | July 2018 | May 2019 | Allow | 10 | 2 | 0 | No | No |
| 16065959 | INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING SYSTEM, AND INFORMATION PROCESSING METHOD TO DETERMINE CORRELATION OF DATA | June 2018 | December 2019 | Allow | 18 | 1 | 0 | No | No |
| 15842943 | Residue Prediction of Packed Data | December 2017 | October 2020 | Allow | 34 | 2 | 0 | No | No |
| 15659393 | METHOD FOR A STAGE OPTIMIZED HIGH SPEED ADDER | July 2017 | February 2019 | Allow | 19 | 1 | 0 | No | No |
| 15594854 | SOFT SENSOR DEVICE FOR ACQUIRING A STATE VARIABLE BY CALCULATION USING A PLURALITY OF PROCESSOR CORES | May 2017 | February 2019 | Allow | 21 | 1 | 0 | No | No |
| 15519823 | ACTUALLY-MEASURED MARINE ENVIRONMENT DATA ASSIMILATION METHOD BASED ON SEQUENCE RECURSIVE FILTERING THREE-DIMENSIONAL VARIATION | April 2017 | March 2019 | Allow | 23 | 1 | 0 | No | No |
| 15487366 | PROCESSOR COMPRISING THREE-DIMENSIONAL MEMORY (3D-M) ARRAY | April 2017 | May 2020 | Allow | 37 | 6 | 0 | No | No |
| 15405044 | DETECTION OF FAULT INJECTIONS IN A RANDOM NUMBER GENERATOR | January 2017 | June 2017 | Allow | 5 | 1 | 0 | No | No |
| 15353353 | PROGRAMMABLE NEUROMORPHIC DEVICE | November 2016 | January 2019 | Allow | 26 | 1 | 0 | No | No |
| 15224176 | PROCESSOR AND METHOD FOR OUTER PRODUCT ACCUMULATE OPERATIONS | July 2016 | July 2018 | Allow | 24 | 1 | 0 | Yes | No |
| 15198043 | INJECTING CPU TIME JITTER TO IMPROVE ENTROPY QUALITY FOR RANDOM NUMBER GENERATOR | June 2016 | September 2017 | Allow | 15 | 0 | 0 | No | No |
| 15151062 | SPLITABLE AND SCALABLE NORMALIZER FOR VECTOR DATA | May 2016 | April 2017 | Allow | 11 | 2 | 0 | Yes | No |
| 15141018 | SYSTEM, METHOD, AND RECORDING MEDIUM FOR DIFFERENTIATED AND PARTIAL FEATURE UPDATE IN ALTERNATING LEAST SQUARE | April 2016 | July 2018 | Allow | 26 | 2 | 0 | No | No |
| 15015803 | LOOKUP TABLE SHARING FOR MEMORY-BASED COMPUTING | February 2016 | May 2017 | Allow | 15 | 1 | 0 | Yes | No |
| 15014729 | LOOKUP TABLE SHARING FOR MEMORY-BASED COMPUTING | February 2016 | August 2017 | Allow | 18 | 2 | 0 | Yes | No |
| 15006088 | Excess-Fours Processing in Direct Digital Synthesizer Implementations | January 2016 | September 2016 | Allow | 8 | 1 | 0 | No | No |
| 14960358 | 8x8 BINARY DIGITAL MULTIPLIER | December 2015 | April 2018 | Allow | 28 | 2 | 0 | Yes | No |
| 14943254 | Round For Reround Mode In A Decimal Floating Point Instruction | November 2015 | September 2016 | Allow | 10 | 1 | 0 | No | No |
| 14855351 | EVENT-BASED SPATIAL TRANSFORMATION | September 2015 | October 2017 | Allow | 25 | 1 | 0 | Yes | No |
| 14839576 | Method and Apparatus for Randomizer | August 2015 | August 2016 | Allow | 12 | 1 | 0 | Yes | No |
| 14725523 | FLOATING-POINT CALCULATION APPARATUS, PROGRAM, AND CALCULATION APPARATUS | May 2015 | April 2017 | Allow | 23 | 0 | 0 | No | No |
| 14711350 | GENERATING PSEUDO-RANDOM NUMBERS USING CELLULAR AUTOMATA | May 2015 | May 2018 | Allow | 36 | 2 | 0 | No | No |
| 14708431 | METHOD, APPARATUS AND COMPUTER PROGRAM FOR DETERMINING AN INTERPOLATED COMPLEX VALUED SAMPLE | May 2015 | August 2017 | Allow | 28 | 2 | 0 | Yes | No |
| 14623310 | ITERATIVE REFINEMENT APPARATUS | February 2015 | May 2017 | Allow | 27 | 1 | 0 | No | No |
| 14483111 | RANDOM NUMBER GENERATOR USING AN INCREMENTING FUNCTION | September 2014 | June 2017 | Allow | 33 | 1 | 0 | No | No |
| 14366129 | DEVICE FOR PERFORMING ARITHMETIC OPERATIONS OF MULTIVARIATE POLYNOMIALS, CONTROL METHOD, AND PROGRAM | June 2014 | February 2017 | Allow | 32 | 1 | 0 | No | No |
| 14291942 | VECTORIZED GALOIS FIELD MULTIPLICATION | May 2014 | July 2016 | Allow | 26 | 1 | 0 | No | No |
| 14269527 | Method for Graph Based Processing of Signals | May 2014 | November 2016 | Allow | 30 | 2 | 0 | No | No |
| 14210966 | PIPELINED MODULAR REDUCTION AND DIVISION | March 2014 | August 2016 | Allow | 30 | 1 | 0 | Yes | No |
| 14214049 | METHOD FOR A STAGE OPTIMIZED HIGH SPEED ADDER | March 2014 | April 2017 | Allow | 37 | 3 | 0 | No | No |
| 14127178 | SYSTEMS, METHODS, AND COMPUTER PROGRAM PRODUCTS FOR PERFORMING MATHEMATICAL OPERATIONS | December 2013 | June 2016 | Allow | 30 | 1 | 0 | No | No |
| 13976358 | UNIFIED COMPUTATION SYSTEMS AND METHODS FOR ITERATIVE MULTIPLICATION AND DIVISION, EFFICIENT OVERFLOW DETECTION SYSTEMS AND METHODS FOR INTEGER DIVISION, AND TREE-BASED ADDITION SYSTEMS AND METHODS FOR SINGLE-CYCLE MULTIPLICATION | October 2013 | July 2017 | Allow | 48 | 3 | 1 | Yes | No |
| 13936881 | SYSTEM AND METHODS FOR DETERMINING ATTRIBUTES FOR ARITHMETIC OPERATIONS WITH FIXED-POINT NUMBERS | July 2013 | October 2016 | Allow | 39 | 3 | 0 | Yes | No |
| 13918608 | METHOD FOR MONITORING THE OUTPUT OF A RANDOM GENERATOR | June 2013 | October 2016 | Allow | 40 | 2 | 0 | No | Yes |
| 13855474 | LINEAR PHASE FIR BIORTHOGONAL WAVELET FILTERS WITH COMPLEMENTARITY FOR IMAGE NOISE REDUCTION | April 2013 | July 2016 | Allow | 39 | 3 | 0 | Yes | No |
| 13853754 | Method And Apparatus For Processing Bit-Interleaved Data Traffic In A Communication Network | March 2013 | March 2017 | Allow | 48 | 4 | 0 | No | No |
| 11935371 | SYSTEM AND METHOD FOR MEASURING LATCH CONTENTION | November 2007 | April 2011 | Allow | 41 | 0 | 0 | No | No |
| 11837534 | METHOD FOR DEBUGGING A BUSINESS PROCESS FLOW | August 2007 | June 2009 | Allow | 22 | 2 | 0 | Yes | No |
| 11522039 | METHOD AND SYSTEM FOR DETECTING INTERPROCEDURAL VULNERABILITY BY ANALYSIS OF SOURCE CODE | September 2006 | June 2009 | Allow | 33 | 2 | 0 | No | Yes |
| 11066717 | METHOD AND SYSTEM FOR VERSION NEGOTIATION OF DISTRIBUTED OBJECTS | February 2005 | January 2009 | Allow | 47 | 1 | 0 | No | No |
| 11049784 | SINE WAVE MULTIPLICATION CIRCUIT AND SINE WAVE MULTIPLICATION METHOD | February 2005 | August 2009 | Allow | 54 | 1 | 0 | No | No |
| 10965907 | METHOD AND APPARATUS FOR PERFORMING MULTIPLICATION IN FINITE FIELD GF(2N) | October 2004 | January 2009 | Allow | 51 | 1 | 0 | Yes | No |
| 10868186 | METHOD AND APPARATUS TO PERFORM SQUARING OPERATION IN FINITE FIELD | June 2004 | January 2009 | Allow | 55 | 2 | 0 | Yes | No |
| 10853718 | METHODS AND SYSTEMS FOR TESTING EVALUATION MODULES | May 2004 | March 2011 | Allow | 60 | 6 | 0 | Yes | No |
| 10832806 | FULL CMOS MIN-SUM ANALOG ITERATIVE DECODERS | April 2004 | September 2008 | Abandon | 52 | 2 | 0 | No | No |
| 10827527 | METHOD AND APPARATUS FOR GENERATING CODE FOR SCHEDULING THE EXECUTION OF BINARY CODE | April 2004 | December 2009 | Allow | 60 | 5 | 1 | Yes | Yes |
| 10798905 | SYSTEM AND METHOD FOR MEASURING LATCH CONTENTION | March 2004 | August 2007 | Allow | 42 | 1 | 0 | Yes | No |
| 10433998 | TIME OPTIMIZED REPLACEMENT OF A SOFTWARE APPLICATION | December 2003 | September 2007 | Allow | 52 | 2 | 0 | Yes | No |
| 10670836 | PROCESSOR DEDICATED CODE HANDLING IN A MULTI-PROCESSOR ENVIRONMENT | September 2003 | July 2008 | Allow | 57 | 3 | 0 | Yes | No |
| 10633578 | CROSS LANGUAGE MIGRATION | August 2003 | February 2009 | Allow | 60 | 4 | 0 | Yes | No |
| 10334888 | METHOD FOR MODIFYING A CLASS FILE TO MONITOR DATA FLOW | December 2002 | January 2008 | Abandon | 60 | 2 | 0 | Yes | No |
This analysis examines appeal outcomes and the strategic value of filing appeals for examiner YAARY, MICHAEL D.
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, 40.0% of applications that filed an appeal were subsequently allowed. This appeal filing benefit rate is above the USPTO average, suggesting that filing an appeal can be an effective strategy for prompting reconsideration.
✓ Filing a Notice of Appeal is strategically valuable. The act of filing often prompts favorable reconsideration during the mandatory appeal conference.
Examiner YAARY, MICHAEL D works in Art Unit 2151 and has examined 77 patent applications in our dataset. With an allowance rate of 96.1%, this examiner allows applications at a higher rate than most examiners at the USPTO. Applications typically reach final disposition in approximately 30 months.
Examiner YAARY, MICHAEL D's allowance rate of 96.1% places them in the 86% percentile among all USPTO examiners. This examiner is more likely to allow applications than most examiners at the USPTO.
On average, applications examined by YAARY, MICHAEL D receive 1.69 office actions before reaching final disposition. This places the examiner in the 35% percentile for office actions issued. This examiner issues fewer office actions than average, which may indicate efficient prosecution or a more lenient examination style.
The median time to disposition (half-life) for applications examined by YAARY, MICHAEL D is 30 months. This places the examiner in the 59% percentile for prosecution speed. Prosecution timelines are slightly faster than average with this examiner.
Conducting an examiner interview provides a +0.3% benefit to allowance rate for applications examined by YAARY, MICHAEL D. This interview benefit is in the 17% percentile among all examiners. Note: Interviews show limited statistical benefit with this examiner compared to others, though they may still be valuable for clarifying issues.
When applicants file an RCE with this examiner, 33.3% of applications are subsequently allowed. This success rate is in the 72% 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 74.1% of cases where such amendments are filed. This entry rate is in the 94% percentile among all examiners. Strategic Recommendation: This examiner is highly receptive to after-final amendments compared to other examiners. Per MPEP § 714.12, after-final amendments may be entered "under justifiable circumstances." Consider filing after-final amendments with a clear showing of allowability rather than immediately filing an RCE, as this examiner frequently enters such amendments.
This examiner withdraws rejections or reopens prosecution in 100.0% of appeals filed. This is in the 89% percentile among all examiners. Of these withdrawals, 75.0% occur early in the appeal process (after Notice of Appeal but before Appeal Brief). Strategic Insight: This examiner frequently reconsiders rejections during the appeal process compared to other examiners. Per MPEP § 1207.01, all appeals must go through a mandatory appeal conference. Filing a Notice of Appeal may prompt favorable reconsideration even before you file an Appeal Brief.
When applicants file petitions regarding this examiner's actions, 110.0% are granted (fully or in part). This grant rate is in the 94% percentile among all examiners. Strategic Note: Petitions are frequently granted regarding this examiner's actions compared to other examiners. Per MPEP § 1002.02(c), various examiner actions are petitionable to the Technology Center Director, including prematureness of final rejection, refusal to enter amendments, and requirement for information. If you believe an examiner action is improper, consider filing a petition.
Examiner's Amendments: This examiner makes examiner's amendments in 10.4% of allowed cases (in the 94% 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 11% 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.