NLPatent

Summary
Provider

NLPatent

Fee
Fee paying
ASPI
No
Database description

NLPatent is an AI-native patent research and intelligence platform built for IP and R&D professionals. Designed around real patent workflows, NLPatent replaces traditional keyword-based search and analytics tools with a patent-specific language model that understands claim structure, inventive concepts, and technical context.

The platform enables users to search using natural language, patent numbers, entities, or portfolios, and supports guided refinement and analysis. Emphasizing transparency and control, NLPatent provides context-rich results and explainable relevance analysis, avoiding black-box outputs that are difficult to trust or defend.

IP teams use NLPatent's powerful research engine across the patent lifecycle to support workflows such as patentability, freedom-to-operate, invalidity, licensing, and competitive intelligence. The platform also supports automated monitoring of new filings and related IPW for specific patents, portfolios, or technology areas of interest, as well as visualization tools for comparing patent landscapes across competitors or domains.

Built on a unified intelligence layer, the same underlying model powers search, monitoring, and visualization workflows, ensuring consistency and reliability across use cases. Trusted by global companies, leading law firms, and research institutions, NLPatent is redefining how modern IP teams approach patent research and strategy in an increasingly AI-enabled practice environment.

Highlights
Legal status
Search results
Similarity search
Coverage
Patent Collections
  •  
  •  
  •  
Interfaces
Language
Chinese
English
French
German
Japanese
Korean
Other
Portuguese
Spanish
General search tools
General search tools
Non-Latin character search
Semantic search
Similarity search
Classification
Classifications
Cooperative Patent Classification
International Patent Classification
US Patent Classification
Patent family data
Patent family data
Simple
Index lists
Index lists
Applicant name
Corporate tree
Field index search
Invention text
Results
Results type
Keyword in context (KWIC) highlighting
Machine translation
Sorting by relevance
Translated titles and/or abstracts
Analysis
Analysis data
Applicant and/or inventor
Citation
Classification
Dates
Invention text
Analysis
Graphical
Statistical
Alerts
Alerts
Search results
Data export
Data Export
Bibliographic data
Citations
Classification
Description and/or claims
Legal status
Title and/or abstract
Non-patent data
Non-patent content
Non-patent literature
Operators
General operators
Anti-proximity (outside of range)
Boolean (AND, OR, NOT, XOR)
Proximity (within range)
Wildcard operators
0-1 characters
1 character
Unlimited characters
Truncation
Center truncation
Left truncation
Right truncation
SLART


Bibliographic data – At least one of the following is available: publication number, filing number, grant number, publication date, filing date, grant date, applicant name, assignee name, inventor name, patent classification.
Partial text – At least one of the following (but not all) are available: title, abstract, description, claims.
Full text – All of the following are available (where applicable for the given jurisdiction): description, claims