Linfo IP LLC v. ZipRecruiter Incorporated

District Court, D. Arizona·Decided August 26, 2026·No. 2:25-cv-03718·Unknown

Opinion

WO

Linfo IP LLC, No. CV-25-03718-PHX-DJH

Plaintiff, ORDER

v.

ZipRecruiter Incorporated,

Defendant. At issue is a Motion to Dismiss filed by Defendant ZipRecruiter Incorporated (“ZipRecruiter”) with a Response from Plaintiff Linfo IP LLC (“Linfo”) and a Reply from ZipRecruiter. (Docs. 25, 27 & 30). For the reasons stated below, the Court will grant ZipRecruiter’s Motion to Dismiss. I. Background According to Linfo’s patent application, there are generally two types of data: structured data and unstructured data. (Doc. 1-1 at 13, Ex. A, Linfo Patent Application). Structured data can fit neatly into a database and then be searched using a targeted query. (Id.) Unstructured data on the other hand, like data commonly found on text documents, cannot fit into a table or database format. (Id.) And that is the dilemma Linfo says it solved with its patent. Before its invention, Linfo argues that recruiters had to arduously sift through resumes to find pertinent skills and then match those skills with job postings. (Doc. 1-1 at 13, Ex. A, Linfo Patent Application). The only alternative method to physically examining the documents was to perform a keyword-based query, which resulted in a limited scope search return. (Id.) Linfo says its invention is novel because it can take a resume or job description document and do a search query and pull out the crucial information without requiring the user to open up the document. (Id.) This becomes important when a recruiter analyzes a job description document and then distills it to a few words to then search in a resume repository to find suitable candidates. (Id. at 14). Linfo says its invention streamlines this process by first scanning the job description document for certain terms and then assigns a numerical value to those terms that represents how important those specific terms are. (Id.) Once the terms have been ranked by importance via a numerical value, then those terms are used together to construct a search query. (Id.) This same process can also be done by starting with the resume instead of the job description document by using the exact same process and assigning a numerical value in the same way. (Id.) The resume to job description document repository search also then leads to a specific search query using the important terms. (Id.) The process, either from resume to job description document, or job description document to resume repository search, does not require the user to open up the document. (Id.) Linfo also says that the results from such search queries can be displayed in different formats to differentiate candidates based on their suitability and pool them into either senior, medium-level, or junior roles. (Id.) Different skillsets on the job description document are also labeled with different numerical values based on whether they are required, preferred, or optional skills. (Id.) The same is true for certain verbs and nouns and experiences like the following examples: design, lead, experience, familiarity, proficient, expert, etc. (Id.) These adjectives, nouns, and experiences are linked with a numerical value that Linfo calls a co-efficient. (Id.) Linfo describes the primary objective of this invention as “to automate the resume search process without requiring the user to read and understand the job description, and to produce more accurate results than conventional keyword-based search that may miss certain important key-words in the job description.” (Id. at 15). At issue in this particular case is the invention described above and its alleged infringement by ZipRecruiter. (Doc. 1 at 3). The invention above was patented by Linfo on May 30, 2017, and given the patent number 9,665,641. (“641 patent”). (Id.) To describe it simply, Linfo says that the 641 patent “relates to novel and improved systems and methods for conducting electronic commerce.” (Id.) In all, patent 641 comprises 20 claims (“claims 1–20”), all related to how this query-based interface works and slicing the method used to extract terms from a resume and job description document further and further. ((Doc. 1-1 at 13–22, Ex. A, Linfo Patent Application). Linfo alleges that ZipRecruiter infringed on its 641 patent by offering up its exact invention to its consumers. (Id. at ¶ 9). Attached to the complaint is an Exhibit showing how ZipRecruiter’s search query box allows it users to upload their resumes, produce a certain search query phrase or terms, and then match it against a job description repository. (Doc. 1-2 at 4–17, Ex. B, Attached Exhibit showing ZipRecruiter’s Infringing actions). The Court notes however, that although the Complaint itself says that that ZipRecruiter infringed on claims 1–20, the attached exhibits only show its infringement of Claim 8 of patent 641. (Id.) Claim 8 says is comprised of the following: 8. A computer-implemented method for searching jobs, comprising: obtaining a search query, wherein the query comprises one or more terms or a resume document comprising one or more terms; obtaining a plurality of job description documents or a job description index associated with a plurality of job description documents, each comprising a plurality of terms, wherein at least one of the terms represents a name of a job-related skill or experience or qualification, and is associated with an indicator indicating the degree of the requirement of the skill or experience or qualification, wherein the indicator includes a numerical value or a text description or a visual object, wherein at least one term in the job description document matches a term in the query; for one or more of the job description documents, calculating a score based at least on the indicator; selecting one or more job description documents as a search result, wherein the score for each of the one or more job description documents is above a threshold; dividing the search result into a first group and a second group, or attaching a first label or a second label to the one or more job description documents in the search result, based on the score; and displaying, in a user interface, the first group in a first display area or in a first display format, and the second group in a second display area or in a second display format, wherein at least one of the groups has a label representing the content type of the group; or displaying the first label or the second label in association with the one or more job description documents in the result, wherein the content type of the group or the first label or the second label includes at least “senior”, or “medium”, or “junior”. (Doc. 1-2 at 5, Ex. B, Claim 8 and Infringement). For reasons set forth below, the Court finds that Claim 8 is both a representative claim for the entire patent and that it is patent ineligible such that ZipRecruiter’s Motion to Dismiss should be granted. II. Legal Standard To survive a motion to dismiss under Rule 12(b)(6), a complaint must plead “enough facts to state a claim to relief that is plausible on its face.” Bell Atl. Corp. v. Twombly, 550 U.S. 544, 570 (2007). “A claim has facial plausibility when the plaintiff pleads factual content that allows the court to draw the reasonable inference that the defendant is liable for the misconduct alleged.” Ashcroft v. Iqbal, 556 U.S. 662, 678 (2009). While the district court must take all factual allegations in the complaint as true, it may disregard legal conclusions couched as factual allegations. Twombly, 550 U.S. at 555 (citation omitted). “A patent may be determined ineligible at the Rule 12(b)(6) stage ‘when there are no factual allegations that, taken as true, prevent resolving the eligibility question as a matter of law.’ ” Simio, LLC v. FlexSim Software Prod., Inc., 983 F.3d 1353, 1359 (Fed. Cir. 2020) (quoting Aatrix Sof

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Linfo IP LLC v. ZipRecruiter Incorporated, (D. Ariz. 2026).

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