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Large language model artificial intelligence text evaluation system

Relevance scores may be determined based on text included in a document. The text may be divided into a text portions, with the relevance scores being determined based on a comparison of a text portion of the plurality o…

Granted 2025ActiveExpires 2044Owned by CasetextInvented by Walter DeFoor, Pablo Arredondo, Ryan Walker + 4 more

Original patent title: “Large language model artificial intelligence text evaluation system

Plain-English explanation by SahiLast reviewed · June 16, 2026

Relevance scores may be determined based on text included in a document. The text may be divided into a text portions, with the relevance scores being determined based on a comparison of a text portion of the plurality o…. Granted to Casetext in 2025 with 23 claims, and it is expected to expire in 2044.

Key facts

Patent numberUS 12299406
StatusActive
FieldOther Fields
AssigneeCasetext
InventorsWalter DeFoor, Pablo Arredondo, Ryan Walker and 4 others
Filed2024
Granted2025
Expires2044
Claims23
Times cited0
LitigationNone on record
Value · $47K$150KMinimal

Coverage

What does this patent actually cover?

Relevance scores may be determined based on text included in a document. The text may be divided into a text portions, with the relevance scores being determined based on a comparison of a text portion of the plurality of text portions with a criterion specified in natural language. A subset of the plurality of text portions may be selected based on the plurality of relevance scores, with each of the subset of the plurality of text portions having a relevance score surpassing a threshold. A criteria evaluation prompt may be sent to a remote text generation modeling system via a communication interface. The criteria evaluation prompts may include an instruction to evaluate one or more of the subset of text portions against the criterion.

The gap

What does this patent NOT cover?

    These exclusions are unique to PatentBrief — derived from the actual claim language, not patent-office boilerplate.

    The Patent Drawing

    Representative patent drawing for Large language model artificial intelligence text evaluation system (US 12299406)
    Representative figure · US 12299406All figures on Google Patents →
    Large language model artificia…(Primary claim)

    Schematic visualization of the patent's claim structure. Hand-drawn diagrams in progress for each landmark patent.

    Patent Abstract

    Patent abstract

    Relevance scores may be determined based on text included in a document. The text may be divided into a text portions, with the relevance scores being determined based on a comparison of a text portion of the plurality of text portions with a criterion specified in natural language. A subset of the plurality of text portions may be selected based on the plurality of relevance scores, with each of the subset of the plurality of text portions having a relevance score surpassing a threshold. A criteria evaluation prompt may be sent to a remote text generation modeling system via a communication interface. The criteria evaluation prompts may include an instruction to evaluate one or more of the subset of text portions against the criterion.

    Patent timeline

    Filing

    Application submitted to the patent office

    Publication

    Application published, typically 18 months after filing

    Grant

    Patent officially issued

    Expiration

    Patent enters public domain

    PatentBrief Score

    Impact Score

    Early stage

    Citation count

    0/40

    No citations yet

    Claim breadth

    15/20

    Broad claimsclaimsThe numbered statements at the end of a patent that legally define what the inventor owns.Read more →

    Recency

    20/20

    Granted within 5 years

    Assignee scale

    0/20

    Independent or smaller assigneeassigneeThe entity that owns the patent — usually the inventor's employer or a company.Read more →

    PatentBrief Impact Score — based on citation count, claim breadth, recency, and assignee scale. Not a legal assessment.

    Heuristic Value Estimate

    What this patent might be worth

    Minimal

    $47K$150K

    Midpoint $94K · 17.8 yr remaining · industry ×1.6

    Adjust inputs →

    Heuristic only — blends forward/backward citation counts, claim scope, time remaining, litigation history, and CPC-derived industry baseline. Real valuations need a professional appraisal.

    The original legal language

    Original claims

    23 claims as filed with the patent office.

    Concepts involved

    ClaimPrior artNon-obviousnessNoveltySpecificationAssigneePatent term

    Citations

    Patent lineage

    Cites earlier patents

    59

    earlier patents this invention cites as foundations

    View prior art →

    Cite this patent

    DeFoor, W., Arredondo, P., Walker, R., deLevie, A., Qadrud-Din, J., O'Kelly, B., & Blake, E. (2025). Large language model artificial intelligence text evaluation system (U.S. Patent No. 12,299,406). U.S. Patent and Trademark Office. https://patentbrief.org/patent/us/12299406/large-language-model-artificial-intelligence-text-evaluation-system

    Auto-generated from the patent record. Double-check author order and the issue date against the official USPTO document before submitting.

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    Common Questions

    Frequently Asked Questions

    Who owns patent US 12299406?

    Casetext owns this patent, granted in 2025.

    When does this patent expire?

    This patent is expected to expire on April 19, 2044, when the invention enters the public domain.

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    Last reviewed: · PatentBrief is not a law firm and this is not legal advice.