Data on Patent Law: Sources and Uses Explained

By Adam J. Feldman February 1, 2024

Two professionals look at a tablet in a hallway; man points at screen, woman smiles, another person walks behind them.

Sometimes the most useful litigation tools are ones you assemble on your own – that way you can tailor them to your needs, and occasionally they are even free.  Here is an example of resources for the federal circuit, PTAB, and other trial level patent litigation. These resources can give you a sense of judicial behavior which can help generate expectations for case outcomes and timelines.  The three resources that I will quickly run through in this post are the the Compendium of Federal Circuit Decisions compiled by the University of Iowa Law School (what I will call the “Iowa Database”), the USPTO’s datasets and case resources, and CourtListener’s RECAP Archive. Each of these resources is free, and each can significantly assist you in developing a patent rights strategy.

Federal Circuit Database

This Iowa Database is comprehensive of Federal Circuit decisions since 2004 and has multiple pieces of information for each case.  The Database contains 19,761 cases and is consistently updated.  The types of information that one can derive from this dataset are invaluable. Anything from the likelihood of a granted en-banc (136 granted and 13,237 denied for a rate of approximately 1%) to the number of appeals adjudicated from PTAB (1,777) is readily available.  

Since the Iowa Database contains information on all decisions from the Federal Circuit, some sorting is required to isolate particular types of appeals like those relating to patents.  If you have a software application that can easily create crosstabs like Tableau(my favorite) you can organize and synthesize the information to derive useful outputs. The 19,761 records, for instance, can be sorted by dispute type. Although many of the records records relate to orders that aren’t connected to several of the case outcome variables, among cases that are labeled by type, 3,270 deal with patent infringements, 1,059 deal with inter partes review, 517 deal with contract claims, etc.

The patent cases are coded for whether they relate to code sections 102 or 103 along with other issues like claim construction and definiteness.  Once a specific area is nailed down, let’s say patent infringement, then more specific analyses can be performed.  If we isolate the cases from 2015 forward for example, we can see which judges have been the most frequent majority authors (Stoll with 99, then Prost with 93, and Lourie with 87). We can also look to see who authored dissents most frequently (Newman with 31 and Reyna with12). Or perhaps we want to know about the most frequent lower courts (District Court for the District of Delaware with 246, District Court for the Eastern District of Texas with 163, and the District Court for the Northern District of California with 158). Maybe we even want to know who is or was most likely to dissent from an opinion authored by Judge Stoll. In such instances, Judges Dyk, Hughes, Lurie, and Newman each dissented twice.

USPTO Website

The USPTO also has a treasure trove of free resources for the legal data enthusiast. Some of the information is quite helpful for legal practitioners moving forward while other data are mostly historic. Even the backwards looking data though can aid with current decisions to the extent that they are based on litigation before active judges.

The historic element is quite fascinating. While unfortunately only updated through 2016, the Patent Litigation Docket Reports have case level information from 81,350 district court cases filed between 1963 and 2016.  A few nice feature of the Docket Reports is that they track litigation timing and this can be parsed by on other variables like the judge or court of interest.  There are also multiple datasets that correlate to one another so you can look at observations based on the attorneys on the cases, patents, case names, or documents. 

We might, for instance, be interested in the magistrate judges who these cases were referred to in order to gauge how long proceedings end up taking in their courts. Here is an output of magistrate judges with over 200 proceedings in this dataset.

Judge Roy S. Payne for the Eastern District of Texas has the lion’s share of these cases with all other judges only deciding a fraction of Judge Payne’s count. Let’s say we are interested in the time it takes these judges to move from an opened to a closed case, we can use the time parameters in the dataset to run this calculation for each individual case, and then generate averages by judge.  Here are what the averages look like for these judges.

Judge Payne cleared his cases the quickest of the group at just under 250 days while, at the other end of the spectrum, Judge Trumbull of the District Court for the Northern District of California averaged over 535 days per case.

There are also other datasets available on the USPTO site as well including the Patent Examination Research Dataset (PatEx) which covers “13 million publicly-viewable provisional and non-provisional patent applications to the USPTO and over 1 million Patent Cooperation Treaty (PCT) applications.” 

CourtListener’s RECAP Archive

The RECAP Archive is a freely accessible tool that compiles PACER records.  It is an extremely useful resource and was used to derive some of the datapoints for the USPTO measures.

RECAP is generally more of a qualitative data source that can be used to put together quantitative statistics. One of the nice parts of RECAP though is that you can dive into case dockets and in some instances you can view documents filed in cases. 

One of the nice features of the RECAP archive is that you can filter by PACER codes, so, if for instance you were interested in patent cases, you could plug in nature of suit code 830 and find that since the beginning of 2015 there are 28,257 cases that fit under this code and 1,867,132 docket entries. If you were interested in the cases referred to Judge Roy S. Payne in the Eastern District of Texas you could refine your search by judge and find there are 2,611 relevant cases since the beginning of 2015.

A nice feature of RECAP that was presumably used in the creation of the USPTO dataset is the RECAP metadata that correlates with the variables in the USPTO site. These variables include the judge assigned to and referred to the case, the citation, date filed and terminated, date of last known filing, cause of action and nature of suit, jury demand, and jurisdiction type. There are also data on the parties and attorneys where available through PACER.

The upside to these data is that they allow for updating beyond the numbers currently available from the USPTO dataset which only run through 2016 and provide additional information not provided in the dataset. The downside though is that it takes either scraping and parsing skills to put it into a useable format or taking the time to input the data manually. If you have specific information you are trying to assemble rather than raw general data though, this is a good place to begin.

Concluding Thoughts

Legal data help with generating predictions, following trends, and understanding changes in the legal landscape.  The data described in this article are all readily available and relatively easy to use and navigate. These are great starting points for research and comparisons and provide context to those interested in specific cases. Another big upside is that these resources are free.

While the resources I described generally relate to patent law, this is just an example of the legal data that are freely available on the web. There are many other resources for other areas. If you already understand the value of data, then the raw data available to put together novel datasets abound. Furthermore, there are experts in legal data analysis that can help you develop the skills to make use of these resources and to ascertain answers and solutions to complex legal questions that are not answerable through doctrine alone. For claimholders, litigators, litigation funders, and insurers, such data provide the additional benefit of oftentimes lending themselves to probabilistic determinations that can help individuals forecast potential outcomes and generate likelihood intervals that relate to the probability that certain outcomes will come to fruition.

Adam Feldman  is the editor of  Empirical SCOTUS, a blog that conducts data analysis of the United States Supreme Court, and the Principal of Optimized Legal, a legal data/statistical consultancy. He is also an adjunct professor of political science and public law at California State University, Northridge. You can reach  Adam  for specific data and analyses related to your own litigation questions in this and other areas.

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By Ross Weiner July 23, 2026
Following up on the release of Certum Group’s Trade Secret Guide, the post below is the first in a series on recent appellate court trade secret decisions. These posts will examine groundbreaking decisions and their ramifications. Today’s post features the May 2026 decision in Versata Software, LLC v. Ford Motor Co., in which the Federal Circuit vacated and reversed key portions of the trial court’s damages rulings, holding that a plaintiff whose trade secret has been misappropriated can seek, as unjust enrichment damages, the value of the benefit that the defendant received, even if that amount is substantially more than the defendant would have paid for the trade secret. The case is now remanded for a new trial on trade secret misappropriation damages. Background In the early 2000s, Ford hired Versata Software, LLC (“Versata”) to develop computer software that would allow Ford to more efficiently enable vehicle configuration. Versata created two pieces of software: the Automotive Configuration Manager (“ACM”) and the Materials Cost Analytics (“MCA”). The deal was memorialized in a 2004 Master Subscription and Services Agreement (“MSSA”) as well as a separate but related agreement for Versata to provide additional support and services for the software. After 10 years, with the MSSA set to expire, the parties were unable to agree on an extension; instead, Ford “released its own manufacturing configuration software, called PDO, which Ford had developed while licensing software from Versata.”¹ Versata believed that Ford’s creation of PDO involved the misappropriation of its trade secrets and was done in violation of the parties’ agreements. After Ford filed a declaratory-judgment action against Versata,² Versata counterclaimed, alleging that Ford had misappropriated both ACM and MCA. During pre-trial proceedings, the district court severely curtailed Versata’s ability to establish damages by, among other things: • Excluding the testimony of Versata’s damages expert; • Limiting Versata’s trade secret damages to a “reasonable royalty model of damages that is based upon the parties’ relevant business history”³; and • Precluding Versata from seeking damages “based upon the alleged value of benefits obtained by Ford through its use of the relevant software.”⁴ Despite these draconian limitations, at an October 2022 jury trial, the jury found that Ford breached the MSSA and misappropriated three ACM trade secrets. Accordingly, the jury awarded Versata approximately $22 million for trade secret misappropriation (based on the parties’ licensing history) and approximately $82 million for breaching the MSSA.⁵ In post-trial briefing, Ford moved for JMOL on liability and damages. In response, the district court upheld the jury’s verdict that found Ford liable for trade secret misappropriation and breach of contract, but ultimately (i) reduced the trade secret damages to $0 (“the jury had no way to reliably determine how long it would have taken Ford to develop the three (out of four) trade secrets that it found to have been misappropriated”) and (ii) reduced the breach-of-contract damages from approximately $82 million to $3 (“because the jury had no way to calculate Versata’s claimed breach of contract damages with reasonable certainty”).⁶ In other words, the district court first precluded Versata from seeking significant unjust enrichment damages and then, when Versata prevailed on a more limited damages theory, the district court struck them. Versata timely appealed. The Federal Circuit Finds that DTSA Windfalls Are Just Fine In excluding Versata’s damages expert, the district court reasoned that his unjust enrichment model, based on the value to Ford of misusing the trade secrets, “would award Versata far more than the fair price it deemed Ford should pay in exchange for the software’s benefits” and “confer upon Versata a huge and undeserved windfall.”⁷ While this might have been a bug to the district court, to the Federal Circuit it was a feature of the Defend Trade Secrets Act (“DTSA”). The Federal Circuit, applying Sixth Circuit law, found that the district court was wrong to concern itself with a possible Versata “windfall” based on Ford’s significant misappropriation-driven savings. Indeed, the Federal Circuit noted that this category of damages is found directly in the DTSA’s text, which explicitly allows a court to award “damages for any unjust enrichment caused by the misappropriation of the trade secret that is not addressed in computing damages for actual loss.”⁸ The Federal Circuit found a 2008 Tenth Circuit Case, Russo v. Ballard Medical Products, particularly instructive.⁹ There, the court acknowledged that “although unjust enrichment damages ‘put [the plaintiff] in a much better position than if he had entered a licensing agreement … under Utah law, [defendant], as the party that acted wrongfully, must assume the risk it took by misappropriating rather than licensing [the trade secret].’”¹⁰ In other words, corporate actors should play by the rules; if not, they might learn that trade secret damages awards can dwarf the cost they could have paid. Because the district court’s decision to limit Versata’s damages theories to those based solely on the parties’ licensing history was error, the Federal Circuit found that Versata was effectively hamstrung at trial and during post-trial proceedings. Accordingly, the Federal Circuit partially vacated the trial court’s decision to zero out the trade secret damages award and remanded for a new trial on trade secret misappropriation damages.¹¹ Versata’s Contract Damages Were Proper and Should Be Reinstated Under Michigan law, damages for a breach of contract claim must be measured with “reasonable certainty,”¹² but “mathematical certainty” is not required.¹³ When a jury issues a contractual damages award, such award “must stand unless it is (1) beyond the range supportable by proof; or (2) so excessive as to shock the conscience; or (3) the result of a mistake.”¹⁴ The district court concluded that Versata’s approximately $82 million in contract damages could not stand because Versata had purportedly failed to present any evidence to aid the jury in this calculation.¹⁵ The Federal Circuit disagreed. Simply put, the Federal Circuit found that Versata met its burden. Specifically, at trial, Versata’s counsel presented three base damages amounts based on the parties’ licensing history: (1) $17 million (based on the amount Versata offered to license its software after the initial deal expired); (2) $14.95 million (the amount Ford paid Versata in the final year of the contract); and (3) $10.95 million (the base license fee under the MSSA, which amount did not include service and/or maintenance). Versata’s counsel told the jury to multiply any of those figures by 7.5 years, which represented “the period from the start of Ford’s misappropriation through trial.”¹⁶ The ultimate damages award of $82,260,000 reflected $10.97 million for each of the 7.5 years that Ford breached the MSSA. Because this damages figure was neither “beyond the range supported by proof,” nor “so excessive as to shock the conscience,” the Federal Circuit ordered it reinstated. Ramifications Versata’s win, led by Jeffrey Lamken of MoloLamken, is a shot in the arm for trade secret plaintiffs. A plaintiff’s ability to win substantial unjust enrichment damages, i.e., “damages for any unjust enrichment caused by the misappropriation of the trade secret that is not addressed in computing damages for actual loss,” is a driving factor in bringing a trade secret misappropriation claim. Limiting those damages to only “royalties-based damages models” would handcuff plaintiffs and turn trade secret damages into contract damages, in direct contravention of the DTSA. This decision should put corporate defendants on notice to think twice before stealing trade secrets. _ ¹ Op. at 3.  ² Ford initially sued Versata, seeking a declaratory judgment that it had not infringed upon Versata’s IP or misappropriated Versata’s trade secrets. In response, Versata counterclaimed, alleging trade secret misappropriation and breach of contract. ³ Op. at 4. ⁴ Id. ⁵ Id. at 5. ⁶ Id. at 5-6. ⁷ Op. at 4. ⁸ Op. at 7 (quoting 18 U.S.C. § 1836(b)(3)(B)(i)-(ii)). The court noted that the Michigan Unfair Trade Secrets Act (“MUTSA”) ⁹ 550 F.3d 1004, 1020 (10th Cir. 2008). The Russo court was interpreting the Utah Trade Secrets Act, “which includes the same language as the DTSA and MUTSA.” Id. at 1021. ¹⁰ Op. at 8-9. ¹¹ Op. at 11-12. ¹² Doe v. Henry Ford Health Sys.¸865 N.W.2d 915, 922 (Mich. App. 2014). ¹³ Chelsea Inv. Grp., LLC v. Chelsea, 792 N.W.2d 781, 792 (Mich. App. 2010). ¹⁴ Advance Sign Grp., LLC v. Optec Displays, Inc., 722 F.3d 778, 787 (6th Cir. 2013). ¹⁵ Op. at 13. ¹⁶ Id.
By Certum Team June 25, 2026
Chambers & Partners, a leading independent legal research company, has once again recognized Certum Group and William Marra as leaders in the U.S. litigation finance industry. For the second consecutive year, Certum Group earned a Band 2 ranking in Chambers’ intellectual property litigation funding category, placing the firm among a small group of U.S. funders recognized as leaders in patent and IP finance. William Marra, a director at Certum Group, was again ranked individually, recognized in Band 3 for his work in litigation support. Reviewers interviewed by Chambers spoke to the depth and discipline of the Certum team: Certum has “some of the smartest people in the industry working there. I really respect them: they are efficient, they know the market, make smart decisions and are very discerning.” Certum’s team has “highly sophisticated legal and practical minds with an excellent grasp of litigation financing and the ebbs and flows of the litigation space.” “Certum Group are super credible, wonderful people. They are all real lawyers and they all care about our business.” One reviewer described Will as “bar none the most sophisticated, practical, partner-oriented funding professional I have worked with in my years of litigation funding involvement,” noting that he “has helped me shape cases in ways that dramatically improved their litigation and settlement posture” and is “adept and intuitively knowing of how to get to the right solutions.” Others described Will as “an excellent partner” and as someone who “bases decisions on fundamentals and has strong strategic vision.”  Click here to see the complete rankings.
By Certum Team June 17, 2026
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