Clerq
Clerq provides an AI-powered prior art research platform built on the NLPatent model, a large language model trained specifically on patent language. The platform offers agent-based research that returns cited claim charts, semantic search, and portfolio intelligence dashboards, with access via web interface, REST API, or MCP server. Trusted by over 2,000 IP and R&D professionals at law firms and innovative companies.
- Legal Technology
- AI Agents
- Artificial Intelligence
- Data & Analytics
- Software Only
Funding
Funding not disclosed
Founders
Founder details are not available yet.
Product
Problem
Patent professionals face a growing volume of prior art that must be searched, analyzed, and mapped to claims with precision. Traditional keyword-based search tools miss conceptually related art, and manual analysis is time-consuming, creating bottlenecks in patent prosecution, litigation, and portfolio management.
Solution
Clerq provides an AI-powered prior art research platform built on the NLPatent model, a large language model trained specifically on patent language. Users can assign end-to-end research tasks to an agent that identifies key elements, constructs search terms, plans the search strategy, and returns a cited claim chart with every element mapped to the art. Alternatively, users can run searches that match concepts rather than keywords, or analyze patent landscapes through visual dashboards and alerts. The platform supports flexible workflows via its interface, REST API, or MCP server, keeping human judgment in control at every step. All models run in a private cloud environment with client data never used for training, and the company is ISO 27001 certified and SOC 2 Type II compliant.
Target Audience
Primary users are patent attorneys, patent agents, IP professionals, and R&D teams at law firms, corporations, and IP service providers, as well as platforms that integrate patent search into their own products.
Features
- Agent-based prior art research that runs end-to-end, returning cited claim charts with every element mapped to the art
- Semantic search that matches concepts rather than keywords, with filters, keywords, and boolean logic layered in
- Intelligence dashboards that cluster portfolios into visual maps, visualize filing trends, and monitor new filings and office actions flagged by concept
- REST API and MCP server exposing the NLPatent model for integration into commercial products and RAG pipelines
- Free-form question interrogation and relevance analysis of search results
- Review gates at every workflow stage, allowing users to confirm direction, adjust, and let the agent continue
- Private cloud environment with ISO 27001 certification and SOC 2 Type II compliance