4:23-cv-04841
Linfo IP LLC v. Banana Republic LLC
I. Executive Summary and Procedural Information
- Parties & Counsel:
- Plaintiff: Linfo IP, LLC (Texas)
- Defendant: Banana Republic, LLC (Delaware)
- Plaintiff’s Counsel: Ramey LLP
- Case Identification: 4:23-cv-04841, S.D. Tex., 12/29/2023
- Venue Allegations: Plaintiff alleges venue is proper because Defendant has a regular and established place of business in the district—a retail store in Houston—and has committed the alleged acts of infringement in the district.
- Core Dispute: Plaintiff alleges that Defendant’s system and user interface for presenting information within text content, presumably on its e-commerce platform, infringes a patent related to computer-assisted discovery and presentation of information.
- Technical Context: The technology addresses information overload by automatically analyzing text to identify attributes (such as sentiment) and providing users with tools to filter, highlight, or extract content based on those attributes.
- Key Procedural History: The complaint states that Plaintiff is a non-practicing entity. The allegations of willful infringement are based on knowledge of the patent as of the complaint's filing date, with Plaintiff reserving the right to amend if pre-suit knowledge is discovered.
Case Timeline
| Date | Event |
|---|---|
| 2011-12-09 | U.S. Patent No. 9,092,428 Priority Date |
| 2015-07-28 | U.S. Patent No. 9,092,428 Issued |
| 2023-12-29 | Complaint Filed |
II. Technology and Patent(s)-in-Suit Analysis
U.S. Patent No. 9,092,428 - "System, methods and user interface for discovering and presenting information in text content"
The Invention Explained
- Problem Addressed: The patent describes the problem of "data overload," where users face large amounts of unstructured text, such as online product reviews, making it difficult and time-consuming to find specific information or discern overall sentiment ('428 Patent, col. 1:12-25). For example, a user wanting to know about a hotel's room service might have to sift through hundreds of reviews manually ('428 Patent, col. 1:20-31).
- The Patented Solution: The invention provides a computer-assisted method to analyze text content, associate "grammatical, semantic, and contextual attributes" with words or phrases, and then offer a user interface to act upon that analyzed information ('428 Patent, Abstract; col. 3:18-25). A user can select an attribute (e.g., "positive comments") and an action (e.g., "highlight" or "extract"), and the system will modify the presentation of the text accordingly, saving the user from manual review ('428 Patent, col. 3:1-14).
- Technical Importance: This approach seeks to make large volumes of unstructured text more useful by enabling users to filter and organize content based on its underlying meaning (e.g., sentiment) rather than relying solely on simple keyword searches ('428 Patent, col. 2:55-64).
- Analogy (Optional): The invention acts like an intelligent assistant reading a long document (e.g., a book of reviews) on a user's behalf. The user can ask the assistant to "use a green highlighter on all the positive comments and a red one on all the negative comments," allowing the user to quickly see the document's sentiment patterns without reading every word.
Key Claims at a Glance
- The complaint asserts claims 1-20 of the '428 Patent (Compl. ¶9).
- Independent Claim 1 recites the core method, with key elements including:
- Obtaining a text content.
- Selecting a first semantic attribute and a second semantic attribute for a user to select from.
- Identifying words or phrases in the text associated with one of the semantic attributes.
- Displaying an "actionable user interface object."
- Allowing the user to select one of the attributes via the user interface.
- Performing an action (e.g., extracting, displaying, hiding, or highlighting) on the words or phrases associated with the user-selected attribute.
- The complaint reserves the right to assert other claims, including dependent claims (Compl. ¶9).
III. The Accused Instrumentality
Product Identification
The complaint does not name a specific product. It refers generally to Defendant's "system with methods and user interface for discovering information in a text content and extracting and presenting the information" and "Defendant's products and services" (Compl. ¶9). Given Defendant's business, this presumably refers to its e-commerce website, particularly functionalities associated with customer reviews.
Functionality and Market Context
The complaint alleges that Defendant "maintains, operates, and administers" a system that performs the infringing methods (Compl. ¶9). No specific functionalities, such as filtering, sorting, or highlighting options on Defendant's website, are described. The complaint does not provide sufficient detail for analysis of the accused instrumentality's specific operation or its market context. No probative visual evidence provided in complaint.
IV. Analysis of Infringement Allegations
The complaint references an exemplary claim chart in "Exhibit B" but does not attach it to the public filing (Compl. ¶10). The infringement theory must therefore be inferred from the general allegations. Plaintiff alleges that Defendant's system directly infringes by performing the patented method of discovering, extracting, and presenting information within text content, thereby infringing one or more of claims 1-20 (Compl. ¶9). The allegations are conclusory and do not map specific features of an accused product to the limitations of the asserted claims.
- Identified Points of Contention:
- Evidentiary Question: A central issue for the court will be whether Plaintiff can produce evidence that Defendant’s system performs all the specific, ordered steps of the asserted claims. For instance, what evidence demonstrates that the accused system allows a user to select between a "first semantic attribute" and a "second semantic attribute" (e.g., "positive opinion" and "negative opinion") to trigger a distinct "action" such as highlighting or extracting text, as recited in Claim 1?
- Scope Questions: The dispute may turn on whether conventional e-commerce features fall within the scope of the claims. For example, does a feature that allows users to "sort by" highest or lowest star rating meet the claim limitation of "selecting a first semantic attribute and a second semantic attribute" and "performing... an action" on the associated text? The court will have to determine if the functionality of the accused system aligns with the specific technical method claimed in the patent.
V. Key Claim Terms for Construction
The Term: "semantic attribute" (Claim 1)
Context and Importance: This term is foundational to the patent, defining the nature of the information the system identifies and manipulates. Its construction will be critical to the infringement analysis, determining whether the claim covers basic data filters (e.g., "contains keyword 'fit'") or requires more complex linguistic or conceptual analysis (e.g., distinguishing "positive opinion" from "negative opinion"). Practitioners may focus on this term because its scope could either limit the patent to sophisticated sentiment analysis systems or broaden it to cover a wide range of common web filtering tools.
Intrinsic Evidence for Interpretation:
- Evidence for a Broader Interpretation: The specification suggests "semantic attributes" can encompass a variety of concepts, including an "opinion" ('428 Patent, col. 8:30-31), a "drug" type ('428 Patent, col. 8:24-28), or "term importance" ('428 Patent, col. 7:8-16). This language may support a construction covering any predefined classification applied to text.
- Evidence for a Narrower Interpretation: The patent's examples and embodiments heavily emphasize opposing attributes, particularly sentiment. Claim 3 explicitly recites "a positive opinion versus a negative option." Figures 7, 9A, and 9B all depict user interfaces for selecting between positive and negative comments ('428 Patent, Fig. 7, 9A, 9B). This focus could support a narrower construction requiring the system to identify and act upon contrasting or oppositional meanings.
The Term: "actionable user interface object" (Claim 1)
Context and Importance: This term defines the mechanism for user interaction. Its construction will clarify whether a standard web component like a button or dropdown menu meets the limitation. The dispute will question whether the accused UI elements are "actionable" in the specific manner required by the patent—that is, triggering one of the enumerated actions (extracting, highlighting, etc.) based on the selected semantic attribute.
Intrinsic Evidence for Interpretation:
- Evidence for a Broader Interpretation: The specification states the object can be "a set of radio buttons, a slider, or any sort of object that allows a user to selectively indicate an option," suggesting the term is not limited to a novel UI component ('428 Patent, col. 9:1-4).
- Evidence for a Narrower Interpretation: The term is functionally linked to a specific set of outcomes: "extracting, displaying, storing, showing or hiding, or highlighting" ('428 Patent, Claim 1). An argument could be made that to be "actionable" in the claimed sense, the object must directly cause one of these transformative actions on the text, as distinguished from a simple navigational hyperlink.
VI. Other Allegations
- Indirect Infringement: The complaint alleges inducement by asserting that Defendant "actively encouraged or instructed others (e.g., its customers...)" to use its services in an infringing manner (Compl. ¶11). A claim for contributory infringement is also made on a similar basis (Compl. ¶12). The factual support for these claims is not detailed beyond these general allegations.
- Willful Infringement: The complaint alleges willfulness based on Defendant's constructive knowledge of the '428 Patent from the filing date of the lawsuit forward (Compl. ¶¶11, 12). Plaintiff explicitly reserves the right to amend this allegation if evidence of pre-suit knowledge emerges during discovery (Compl. ¶11, fn. 1).
VII. Analyst’s Conclusion: Key Questions for the Case
- A key evidentiary question will be one of operational proof: can the plaintiff produce concrete evidence showing that the accused Banana Republic system performs each discrete step of the asserted claims, particularly the selection between two distinct "semantic attributes" to trigger a subsequent, transformative "action" (like extracting or highlighting) on the associated text?
- A core issue will be one of definitional scope: can the term "semantic attribute," which is exemplified in the patent primarily through linguistic sentiment analysis, be construed broadly enough to cover the more conventional filtering or sorting functionalities commonly found on e-commerce websites?