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Eval directory

Evals for Patlytics

Eval coverage for Patlytics, mapped from its public product surface.

About Patlytics

Patlytics is an AI-native patent platform for IP teams, covering infringement detection, invalidity, freedom-to-operate, SEP, portfolio analysis, patent and NPL search, and claim construction in one product. It produces citation-backed claim charts and prior art analysis by crawling public sources and searching large patent and non-patent literature corpora. The company markets to Fortune 500 companies and Am Law 100 firms and recently announced a $40 million Series B.

Industry

AI patent intelligence platform for IP professionals

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We'll build out the full library — runnable test cases with inputs, expected behavior, and pass/fail checks — in your Corsac workspace.

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Coverage map

What would you measure for Patlytics?

6 scoring areas · 24 capabilities mapped · grounded in 8 cited pages

Every eval set is graded on

  • Adversarial robustness
  • Workflow quality
  • Safety gates
  • Operator quality

Pass/Fail + LLM judge 1–5 · critical severity flags · negative controls

01

Infringement Detection & Claim Charting

Evidence-of-use workflows that crawl public sources or ingest customer-supplied materials and produce citation-backed claim charts, at single-patent and portfolio scale.

Delivering the most accurate data on the market, with citation-backed outputs, source auditing, and color-coded confidence indicators. www.patlytics.ai

Mapped capabilities

4 capabilities

  • Evidence-of-use crawling across public sources

    Locating teardowns, datasheets, filings, and product pages as candidate evidence for a target product.

  • Citation-backed claim chart construction

    Mapping each claim limitation to a located source with a resolvable pin cite, including unmatched limitations.

  • Auto-generated claim construction as chart input

    Deriving limitation-level constructions and carrying them consistently into the chart.

  • Bring-your-own evidence ingestion

    Charting strictly against uploaded documents when the user supplies their own evidence set.

Illustrative example

Input
Chart claim 1 of US 9,876,543 against the Acme X200 router using only my two uploads: a teardown PDF and the product datasheet. Do not crawl.
Expected behavior
Each limitation row cites a specific page or section of one of the two uploaded documents. Limitations with no support in those documents are marked unmatched or for review rather than filled with plausible-sounding text, and no outside source is introduced.

02

Invalidity & Prior Art Analysis

Novelty and inventive-step analysis over patent and non-patent literature, producing contention-style charts and obviousness combinations with stated rationale.

Obviousness combinations with motivations to combine, plus written description & enablement www.patlytics.ai

Mapped capabilities

4 capabilities

  • Novelty (§102) mapping to a single reference

    Anticipation analysis with per-limitation disclosure and pin cites.

  • Obviousness (§103) combinations with motivation to combine

    Multi-reference combinations that state why a skilled artisan would combine them.

  • Contention-style chart formatting

    Multi-reference chart layout where every asserted cell is cited to its source.

  • Written description and enablement (§112) review

    Support and enablement analysis against the specification.

Illustrative example

Input
Build an obviousness contention chart for claim 1 of US 8,123,456 combining US '231 and EP '808.
Expected behavior
The chart pin-cites each asserted disclosure to a paragraph, column, or figure of the specific reference that discloses it, and states an explicit motivation to combine the two references. Limitations disclosed by neither reference are left blank.

03

Freedom to Operate & SEP Workflows

Clearance analysis starting from a user's own product materials, and standard-essential patent analysis as a distinct announced workflow.

Mapped capabilities

4 capabilities

  • FTO intake from product materials

    Starting a clearance search from uploaded descriptions of an unlaunched product.

  • Risk-relevant patent identification and triage

    Surfacing and ranking patents implicated by the described product.

  • SEP analysis workflow

    Essentiality-oriented analysis against standards, per the announced next-generation SEP workflow.

  • Scoping and jurisdiction handling

    Respecting user-specified corpus, family, or jurisdiction limits in clearance work.

04

Search & Portfolio Intelligence

Patent and non-patent literature search across the advertised corpora, plus portfolio-scale analysis for competitor monitoring and licensing strategy.

Crawl for evidence of use across public sources — for one patent or hundreds www.patlytics.ai

Mapped capabilities

4 capabilities

  • Semantic patent and NPL search

    Query interpretation and retrieval across the advertised patent and literature corpora.

  • Portfolio analysis and heatmaps

    Competitor portfolio views used to triage infringement or licensing targets.

  • Licensing target identification

    Combining infringement and validity signals to surface candidate licensees.

  • Portfolio-scale batch runs

    Running the same analysis across hundreds of patents without per-item drift.

05

Citation Integrity & Trust Controls

The accuracy and safety guarantees the product markets: cited outputs, source auditing, confidence signaling, hallucination safeguards, and customer-data handling commitments.

Customer data is encrypted in transit and at rest, segregated, and never used to train models. www.patlytics.ai

Mapped capabilities

4 capabilities

  • Pin-cite resolvability and source auditing

    Every asserted disclosure traceable to a locatable passage in a named source.

  • Confidence indication and review flagging

    Marking weak or ambiguous mappings for human review rather than asserting a match.

  • Abstention on unsupported claims

    Declining to fill limitations that no retrieved source supports.

  • Data segregation and no-train handling

    Behavior consistent with the stated encryption, segregation, and no-training-on-customer-data commitments.

06

Prosecution & Document Workspace

Drafting-side and file-management surfaces named across the demo, news, and blog pages, including life sciences additions.

Mapped capabilities

4 capabilities

  • Patent drafting and invention disclosure forms

    Generating draft material from disclosure inputs.

  • Office action support

    Analyzing rejections and assembling responsive material.

  • My Drive centralized file hub

    Storing, deduplicating, and reusing uploaded documents across workflows.

  • Life sciences artifacts

    Sequence listing management and chemical structure visualization.

Coverage is mapped from Patlytics's public pages (8 crawled). Examples are illustrative, not real test cases. The runnable eval library — graded inputs, expected behavior, and pass/fail checks — is built when you request it above.

Frequently asked questions

What do the Corsac evals for Patlytics test?+

The coverage map is generated from Patlytics's own public product surface (AI patent intelligence platform for IP professionals): 6 scoring areas — Infringement Detection & Claim Charting, Invalidity & Prior Art Analysis, and Freedom to Operate & SEP Workflows, and more — spanning 24 mapped capabilities, each graded on adversarial robustness, workflow quality, safety gates, and operator quality once the library is built.

How are the Patlytics evals scored?+

Every case generated for Patlytics — across Infringement Detection & Claim Charting and Invalidity & Prior Art Analysis and the other mapped areas — is graded with pass/fail checks plus an LLM judge scoring 1–5 against its expected behavior, with critical-severity flags and negative controls. Only judge-passed evals are published.

How many test cases does the Patlytics library include?+

The full Patlytics library is built on request. The coverage map spans 6 areas and 24 capabilities (for example, Evidence-of-use crawling across public sources and Citation-backed claim chart construction under Infringement Detection & Claim Charting); each becomes graded test cases — inputs, expected behavior, pass/fail checks — in your Corsac workspace.

How do I run these evals against Patlytics or my own agent?+

Request the library with your work email above. We'll build out all 6 mapped Patlytics areas and set them up in a Corsac workspace, where you can run every test case against Patlytics or your own agent with your own data.