Free & Open Data — USPTO PTAB API

PTAB Open Analytics

What Lex Machina charges $30k/year for. Institution rates, top petitioners, APJ panel intelligence, and timing data — pulled directly from the USPTO PTAB API and published free.

19,140
Proceedings
60%
Institution Rate
190
Median Days
Free
Always
Data updated April 2026  ·  Source: USPTO PTAB API v3  ·  Open source on GitHub ↗
Background

What Is PTAB, and Why Does It Matter Right Now?

The Patent Trial and Appeal Board (PTAB) is an administrative court inside the USPTO. It was created by the America Invents Act (AIA) in 2012 specifically to give companies a faster, cheaper way to challenge patent validity than federal court litigation.

The primary mechanism is called Inter Partes Review (IPR). Any person or company can file a petition asking PTAB to review whether an issued patent's claims are valid based on prior art. If PTAB agrees to hear the case (an "institution" decision), the patent owner must defend their claims before a panel of three Administrative Patent Judges (APJs). If the petitioner prevails, the claims are cancelled and the patent can no longer be enforced.

IPRs are heavily used by large technology companies to defend themselves against patent enforcement. They're also used strategically before or during litigation to weaken a patent while a parallel case proceeds in federal court.

IPR is the single most common tool used to invalidate patents after they issue. If you own patents in a competitive tech sector, understanding your IPR exposure is not optional.

Why This Moment Is Particularly Important

PTAB institution rates and procedures have been in flux. The Fintiv doctrine (a 2020 PTAB precedent that allowed denial of IPR petitions if parallel district court litigation was advanced) was scaled back by the Biden administration, leading to higher institution rates. Under the current administration, additional changes to PTAB discretion, eligibility standards, and director review powers are being actively discussed and litigated.

This matters because the same patent can be worth very different amounts depending on the current institution rate environment. A 2019 patent facing IPR in a 62% institution-rate year has a different risk profile than the same patent challenged in a 73% institution-rate year. Tracking these trends is part of managing IP risk.

The data below covers 19,140 PTAB proceedings since 2012, pulled from the USPTO's public API. No paywall. No vendor spin.


Key Terms

Institution Decision
PTAB's decision on whether to accept a petition and begin a trial. If not instituted, the petition is denied and the patent stands (at least in that proceeding).
Institution Rate
The percentage of filed petitions that PTAB agrees to institute. The higher the rate, the more challenging the environment for patent owners.
APJ Panel
Three Administrative Patent Judges who hear each case. Panel composition affects outcomes. Some panels institute at significantly different rates than the overall average.
Petitioner vs. Patent Owner
The petitioner (challenger) files the IPR and pays the fee. The patent owner (respondent) defends. Either can settle, which often results in claim amendments or licensing agreements.

Section 01

Institution Rates Over Time

The overall institution rate across all IPR proceedings since 2012 is 60%. The reliable window for analysis is 2021–2024 — large sample sizes and complete decision records. Pre-2018 data has coverage gaps in the decisions API.

The 2021–2024 institution rate stabilized at 68–73%. This is the most reliable baseline for current petition strategy.

The 28% rate for 2025 is not a trend. Most 2025 filings are still pending — decisions have not yet been issued.

Year Institution Rate Visual Decided
2012100%
1
20130%
4
20141.6%
61
20152.1%
385
20168.2%
196
201710.5%
162
201860.2%
113
201955.8%
206
202087.8%
532
202169.4%
1,583
202272.5%
1,879
202370.5%
1,764
202468.2%
1,862
2025 *28.2% *
1,312

* 2025 data is incomplete. Most 2025 petitions are still pending institution decisions. Do not use as a trend indicator.

Pre-2018 low rates reflect gaps in the decisions API endpoint, not actual historical rates. Published studies report 60–80% institution rates for 2013–2017.

By Trial Type

IPR — Inter Partes Review
60.4%
19,285 filings
PGR — Post-Grant Review
58.9%
544 filings
DER — Derivation
23.1%
28 filings
CBM — Covered Business Method
8.3%
493 filings
Effectively dead. AIA sunset provision expired September 2020.

Section 02

Institution Rates by Technology Area

Mechanical and Medical Devices leads at 66.1%. Chemical and Materials is the hardest field to institute at 50.5% — a 15-point spread that matters when evaluating petition viability across different portfolios.

Mechanical / Medical Devices TC 3700
66.1%
1,217 cases
Semiconductor / Electrical TC 2800
61.6%
1,591 cases
Biotech / Pharma TC 1600
61.2%
731 cases
Communications / Signal Processing TC 2600
59.9%
1,943 cases
Networking / Security TC 2400
59.1%
1,911 cases
Transportation / Commerce / Finance TC 3600
59.1%
1,098 cases
Computer Architecture / Software TC 2100
58.4%
1,034 cases
Chemical / Materials TC 1700
50.5%
426 cases

Bar widths are proportional to institution rate. Bars scaled relative to the 75% maximum in this dataset for visual clarity.


Section 03

Top Petitioners

Apple leads all petitioners with 1,112 filings since 2012. Meta Platforms has the highest win rate among high-volume filers at 87.3%. Netflix leads all filers with a 92% institution rate across 92 petitions.

# Company Filings Win Rate Rate Bar Instituted Denied
1Apple Inc.1,11264.7%
400218
2Samsung Electronics93463.1%
373218
3Google LLC58060.0%
249166
4Microsoft Corporation29059.4%
7652
5Intel Corporation25453.5%
5346
6Cisco Systems20470.0%
7030
7Amazon.com20367.2%
8843
8Meta Platforms15987.3%
13119
9Unified Patents15778.6%
6618
10Micron Technology14675.0%
6923
Netflix (notable)9292.0%

Win rate = instituted / (instituted + denied). Settled and pending cases excluded. Click column headers to sort.


Section 04

Most Challenged Patent Owners

The most-challenged entities are overwhelmingly NPEs and patent assertion entities. Intellectual Ventures leads with 112 proceedings. Finjan is a standout: 23-of-23 decided challenges survived — the highest survival rate among high-volume respondents.

Finjan survived all 23 decided challenges. High challenge volume does not mean the patent is weak — claim scope, prosecution history, and prior art quality determine outcome.

# Patent Owner Challenged Survival Rate Rate Bar Instituted Against Survived
1Intellectual Ventures II11214.3%
2216
2Jawbone Innovations11125.2%
7728
3Netlist Inc.986.1%
456
4Maxell Ltd.9410.6%
4310
5Uniloc 20178714.9%
613
6Masimo Corporation8617.4%
3415
7Intellectual Ventures I7518.7%
514
8Nokia Technologies6927.5%
3719
9IP Bridge 16423.4%
915
10Regeneron Pharmaceuticals6414.1%
299
Finjan (notable)6137.7%
2323

Survival rate = survived / decided. Instituted Against = proceedings where institution was granted against this owner. Survived = final written decisions where the patent survived (claims upheld).


Section 05

Notable Petitioner–Respondent Pairs

The most-filed adversarial pairs in PTAB history. Apple vs. Masimo (70 filings) is the Apple Watch health sensor dispute. Comcast vs. Rovi (63 filings, 2 institutions) shows that filing volume does not equal success.

Petitioner Respondent Filings Instituted Win Rate Context
AppleMasimo Corporation703042.9%Apple Watch health sensor dispute
Comcast CableRovi Guides6323.2%Volume ≠ success
Alcon Inc.AMO Development412253.7%Ophthalmic devices
AppleSmartflash LLC4000%Digital media patents
Micron TechnologyYangtze Memory382463.2%NAND memory chip war
SamsungStaton Techiya362672.2%Audio/headset IP
AppleApex Beam Technologies353291.4%
SamsungNetlist Inc.342367.6%Memory module patents
Abbott Diabetes CareDexCom Inc.342882.4%CGM sensor dispute
AmazonNokia Technologies343294.1%
IntelQualcomm311032.3%Chip architecture war
AppleCorephotonics331442.4%Dual-camera patents
AppleEricsson302170.0%SEP / standards
GoogleEcoFactor Inc.291862.1%Smart thermostat patents
NetflixAvago Technologies281760.7%

Section 06

Timing: Days to Institution Decision

The PTAB issues institution decisions in a remarkably tight window. The 35-day spread between the 25th and 75th percentile shows the board runs on a strict internal clock — driven by the statutory 3-month deadline from the patent owner's preliminary response.

180
25th Percentile (days)
190
Median (days)
201
75th Percentile (days)
18,255
Cases in Sample

If you file an IPR petition today, model a final institution decision in approximately 6 months (180–201 days). The PTAB consistently hits this window. Use 190 days as your planning baseline.

The statutory path: petitioner files → patent owner files preliminary response (3 months) → PTAB issues decision (3 months from POPR). Total: ~6 months from petition filing to institution decision.

If instituted, final written decisions typically follow 12 months after institution — meaning total trial time is approximately 18 months from petition filing to FWD.


Section 07

APJ Panel Intelligence

Administrative Patent Judges are not interchangeable. Institution rates range from 52% to 77% across high-volume judges. Use this data for context — not prediction. APJ assignment is not fully public or predictable, and rates reflect all case types across all technology areas.

A judge with a high institution rate may simply handle more software IPRs, which baseline-institute at a different rate than pharma. Do not use individual APJ rates as a direct prediction for your case without controlling for technology area and case type.

# Judge Panels Rate Rate Bar Instituted Denied Total Decided
1Jameson Lee38565.0%
13070200
2Karl D. Easthom32570.6%
13757194
3Hyun J. Jung31576.9%
16048208
4Josiah C. Cocks27752.1%
6156117
5Thomas L. Giannetti26861.6%
10163164
6Neil T. Powell26360.1%
11375188
7Kevin F. Turner25771.1%
10844152
8Ken B. Barrett24866.3%
11056166
9Kristen L. Droesch24672.9%
13249181
10Mitchell G. Weatherly24376.6%
8225107
11Sheridan K. Snedden22473.7%
11541156
12Justin T. Arbes22361.8%
6842110
13Barbara A. Parvis21959.6%
9363156
14Patrick R. Scanlon21860.8%
7951130
15Georgianna W. Braden21766.7%
10452156
16Meredith C. Petravick21671.9%
10039139
17Michael R. Zecher21564.2%
7743120
18Stacey G. White21165.9%
8544129
19Thu A. Dang21064.9%
9853151
20William V. Saindon21076.9%
9328121
21Grace Karaffa Obermann20853.6%
6052112
22Garth D. Baer20764.9%
9652148
23Zhenyu Yang19964.7%
8848136
24Bart A. Gerstenblith18875.0%
7525100
25Scott A. Daniels18873.7%
8731118

Top 25 APJs by panel count. Rates reflect all case types and technology areas. Sorted by panel count descending by default.

Most Frequent Two-Judge Panels

#Judge PairDecisions
1Kevin F. Turner & Thu A. Dang41
2Kristen L. Droesch & Nathan A. Engels35
3Jameson Lee & Karl D. Easthom34
4Jason W. Melvin & Jon M. Jurgovan30
5Jeffrey S. Smith & Kevin F. Turner30

Section 08

Methodology & Data Notes

Data source: All data pulled from the USPTO PTAB API v3 at api.uspto.gov/api/v1/patent/trials/. Two endpoints: proceedings search (19,140 records) and decisions search (20,350 records). Collected April 13, 2026.

Institution rate definition: Institution rate = decisions with outcome “instituted” / (instituted + denied). Pending, settled, and dismissed cases are excluded from the denominator.

Included in “Instituted”: Institution Granted, Final Written Decision, Affirmed, Settled After Institution, Request for Adverse Judgment.

Included in “Denied”: Institution Denied, Settled Before Institution, Dismissed Before Institution.

Pre-SAS Institute note: Before the Supreme Court’s 2018 SAS Institute v. Iancu decision, the PTAB could institute on some grounds and deny others. This analysis currently treats all pre-2018 institution decisions as binary — a known simplification.

Early year data quality: Institution rates for 2012–2017 are anomalously low in this dataset (1–10%) compared to published studies showing 60–80% rates in that era. The decisions API endpoint has incomplete coverage for older decisions. Treat pre-2018 rates as unreliable.

Entity resolution: Petitioner and respondent names are normalized using a canonical names file. “Google Inc.” and “Google LLC” may appear as separate entities — a known gap.

Reproducibility: All scripts are in the GitHub repo. Run python3 collect.py then python3 analyze.py to reproduce this dataset from scratch. Data refreshes quarterly.

This is a snapshot. PatentSignal monitors new PTAB filings in real time.

The data above refreshes quarterly. PatentSignal tracks new IPR filings, institution decisions, and final written decisions as they happen — surfacing the signals that matter to your practice or portfolio.

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