Edge
IP Management · Drafting
Structured AI patent drafting (Ingenia) for applications and invention disclosures.
Hands-on review pending
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AI patent analysis covering prior art, infringement, and portfolio risk.
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Facet data pending
Paid starts at Custom.
Security signals pending
Source links pending
Independent review pending
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The current score record is withheld because it does not meet LawyerAI's publication requirements. Read the review methodology.
IP Management · Drafting
Structured AI patent drafting (Ingenia) for applications and invention disclosures.
Hands-on review pending
IP Management · Litigation & eDiscovery
Agentic AI for patent attorneys — prior art, claim charts, and office actions.
Hands-on review pending
IP Management · Drafting
Word-native AI patent assistant for drafting, prosecution, and portfolio work.
Hands-on review pending
Patlytics is an AI-powered patent intelligence platform that automates some of the hardest workflows in patent practice: prior art search, claim charting, invalidity analysis, infringement detection, and patent application drafting. It is built for patent attorneys, in-house IP teams, and patent litigation practices that need to move through large volumes of patent documents quickly without sacrificing rigor.
Founded in 2024 and based in New York, Patlytics raised a $14M Series A led by Next47 in 2025 — bringing total funding to roughly $21M — with participation from investors including Google's Gradient and 8VC. The company has reported rapid early growth in both revenue and customer base.
The platform's analytical depth is its differentiator. Patlytics searches across more than 70 million patent publications and 250 million non-patent-literature documents, and generates detailed claim charts that assess § 102 anticipation and § 103 obviousness on a claim-by-claim, element-by-element basis. The same charting engine supports infringement detection and invalidity analysis, tying retrieved references back to specific claim elements.
Patlytics fits prosecution and litigation teams that want AI to accelerate the evidence-assembly steps — finding relevant references and mapping them to claims — while attorneys retain judgment over strategy and the final legal positions. Custom enterprise pricing.
Hands-on review pending.