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- Category: Patent Analysis
Development platforms for building custom AI solutions in patent law and legal technology. These tools enable patent attorneys and IP professionals to create, deploy, and maintain AI-powered applications for patent analysis, document automation, and legal workflow optimization.
LangChain LangChain
A comprehensive framework for building applications with large language models. For patent AI tools, LangChain excels at creating document processing pipelines, integrating multiple data sources (patent databases, legal documents), and chaining together different AI operations like patent classification, prior art search, and claim analysis. Its extensive library of pre-built components makes it ideal for rapid prototyping of patent workflow automation.
n8n n8n
n8n provides tools for building AI agents through its workflow automation platform. This low-code workflow automation platform can enable patent professionals to build AI agents integrated with existing patent management systems and legal software. The AI Agent node can be configured to automate routine patent tasks like docket entry processing, client status updates, and preliminary patent searches. n8n can enable connecting patent AI capabilities with established legal technology stacks, enabling workflows that automatically process patent applications, extract key information for docket systems, and trigger appropriate follow-up actions. This integration capability makes it ideal for firms wanting to enhance existing patent processes with AI without replacing current systems.
LangGraph LangChain
A more recent addition to the LangChain ecosystem that focuses on building stateful, multi-agent workflows with explicit control flow. In patent law applications, LangGraph is particularly valuable for complex multi-step processes like patent prosecution workflows, where you need different AI agents handling distinct tasks (claim drafting, prior art analysis, office action responses) with conditional logic and state management between steps. Whereas LangChain is better for linear, pipeline-based patent workflows, while LangGraph excels at complex, branching processes requiring state management and agent coordination.
LlamaIndex LlamaIndex
A framework focused on data connection and retrieval for AI agents. LlamaIndex agents are well suited for context-augmented patent analysis, retrieving relevant information from vast patent corpora to perform comprehensive prior art searches, technical claim analysis, and patent landscape mapping. Its RAG capabilities enable agents to access real-time patent data from multiple sources (USPTO, EPO, WIPO) while maintaining context about specific client technologies and competitive landscapes. Workflows can combine multiple patent analysis AI agents to create sophisticated research and reporting systems for complex patent matters.
CrewAI CrewAI
An open-source Python framework for creating and managing collaborative AI agent systems. CrewAI can orchestrate patent teams where different AI agents can handle distinct roles, for example, a prior art specialist, a claim drafting expert, a prosecution strategy advisor, and a client communication manager. This role-based architecture mirrors traditional patent law firm structures, enabling sophisticated workflows like coordinated patent family management across multiple jurisdictions, where AI agents collaborate to ensure claim consistency, deadline compliance, and strategic prosecution approaches. The framework's independence from other platforms provides maximum control over sensitive patent processes.
Strands Agents Amazon
An open-source SDK that can enable patent law firms to build sophisticated AI agents with minimal code complexity. By leveraging state-of-the-art language models' native reasoning and tool-use capabilities, Strands allows legal professionals to create AI agents that can automate patent research, document analysis, prior art searches, and case management workflows. The model-driven approach means patent attorneys can focus on defining their specific legal requirements rather than wrestling with complex orchestration logic.
Lindy Lindy
A no-code AI agent platform that can enable patent professionals to build customized automation without technical expertise. Lindy can create patent workflow agents that can manage patent docket deadlines, automate client communications regarding prosecution status, and coordinate multi-step patent filing processes. Its knowledge base integration allows agents to be trained on firm-specific patent procedures, USPTO guidelines, and client preferences. Multi-agent capabilities can enable complex patent prosecution workflows where different agents handle prior art searches, claim analysis, and deadline management while sharing information seamlessly.
Glide Glide
A no-code platform that can be used by patent law firms seeking to integrate AI agents with existing patent management systems and databases. Glide's spreadsheet-driven architecture makes it ideal for creating internal patent portfolio management tools that incorporate AI-powered features like patent classification, inventor identification from documents, and automated patent landscape analysis. Its real-time integration capabilities can allow AI agents to be embedded within existing patent database workflows, enabling automated patent monitoring, competitive intelligence gathering, and client reporting systems that update dynamically as new patent data becomes available.
Zep zep
A specialized memory layer that can transform patent AI agents from reactive tools into intelligent assistants with institutional knowledge. For patent law applications, Zep can enable AI agents to build comprehensive knowledge graphs of client patent portfolios, prosecution histories, and examiner behavior patterns over time. This temporal knowledge capability is crucial for patent strategy, allowing AI agents to track how patent claims evolve through prosecution, identify successful argument patterns with specific examiners, and maintain context across multi-year patent families. Zep's integration with frameworks like LangChain allows patent law professionals to build AI agents that learn and improve from each interaction.
Vertex AI Agent Builder Google
Google Cloud's enterprise-grade platform for building scalable AI agents with robust security and compliance features essential for legal applications. The Agent Garden provides pre-built templates which can be used for common patent tasks, while the RAG capabilities enable AI agents to ground responses in authoritative patent databases and patet law legal precedents. Particularly valuable for large patent portfolios, Vertex AI can create AI agents that perform real-time patent landscape analysis, automated prior art searches across global databases, and client support automation for patent status inquiries. Its enterprise security features ensure compliance with attorney-client privilege and data protection requirements.
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- Category: Patent Analysis
Specialized AI-powered tools designed for patent drafting, patent analysis, claim charting, prior art searches, patent prosecution, portfolio management, and licensing workflows. These tools streamline key workflows and enhance accuracy, efficiency, and strategic insight in patent practice.
IPRally IPRally Technologies Inc
AI patent search and classifier uses knowledge graphs and Graph Neural Networks. Patent classifier allows users to use their own taxonomy by retraining the custom classifier and applying it to any data set or linking it to a monitoring profile for automated technology insights. For patentability, can define invention in plain text or use their graph editor.
PQAI PQAI
A collaborative, not-for-profit initiative to build an open-source ecosystem of AI components to drive innovation and improve patent quality.
Amplified Amplified AI, Inc
Searching in Amplfied Projects works by combining AI similarity sorting with Boolean filtering. Amplified understands both conceptual and semantic similarity. Mark results as relevant to find more conceptually similar patents. Turn learning off to prefer semantic similarity to your text only.
Patseer PatSeer Technologies Pvt. Ltd.
IP research platform for AI-enabled patent search, due diligence, litigation tasks, and business development. Integrate patents and legal status data feeds. Offers integrated analytics, project workflow, and collaboration capabilities.
Powerpatent Powerpatent, Inc
Patent prosecution tool to streamline invention disclosure capture, flowchart & drawing management, graphical claim drafting, computer-aided description drafting, diagnostics to catch §112 (enablement) and claim issues, and inventor/client collaboration.
Ambercite Ambercite
Paid tool focuses on prior art searching, licensing, patent landscaping, portfolio benchmarking.
NLPatent NLPatent
Copy-and-paste an invention disclosure, abstract or set of claims directly into the app, or describe the invention in your own words; similarity model ranks results in order of conceptual relevancy; specify mandatory criteria that your results list must exhibit, such as certain keywords, ownership, legal status, priority date; tool constantly learning from your input through intelligent refinement; export results into a spreadsheet or a professionally formatted report. Watch Video.
Octimine Dennemeyer
AI patent analysis platform. Combines boolean and AI-powered semantic search. Includes automated monitoring system for continuous updates on changes to legal status and additions to technology field.
Xlscout XLSCOUT
Xlscourt is an integrated innovation and patent monetization platform. Xlscout's ClaimChart LLM utilizes Large Language Models to identify potential licensees and their overlapping products and provides AI-generated claim charts and Evidence of Use (EoU). Watch Video.
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- Category: Patent Analysis
Priority Date
The priority date is perhaps the most critical date in patent law because it sets the benchmark against which the novelty and inventiveness of the invention are evaluated. The priority date gives the applicant priority over others for the same invention, meaning that subsequent disclosures or filings by others concerning the same or a substantially similar invention will not affect the novelty of the originally filed invention. The priority date could be:
- The date on which an inventor first files a patent application for an invention, either in a national patent office or under a treaty that the country recognizes, such as the Paris Convention or the Patent Cooperation Treaty (PCT).
- The filing date of an earlier application in which the current application "claims priority to."
Filing Date
The filing date is the date on which a patent office receives a patent application that meets the basic filing requirements. For national applications, this is simply the date the application is submitted to the patent office. In the context of a PCT application, the initial filing date under the PCT serves as the international filing date and can also serve as the priority date if it is the first filing for that invention.
371(c) Date
The 371(c) date, also known as the national stage entry date, specifically pertains to international patent applications filed under the Patent Cooperation Treaty (PCT). The PCT process allows an inventor to file one international patent application to seek protection for an invention in multiple countries simultaneously. Each PCT application goes through an international phase, during which it is assessed by the International Searching Authority.
After the international phase, to proceed in each designated or elected state, the application must enter the "national phase" in each of those jurisdictions. The "371(c) date" refers to the date on which the international application transitions into this national phase in a particular jurisdiction. According to PCT Article 22 or 39(1), applicants must fulfill certain requirements by this date, which might include payment of national fees and submission of translations of the application. This date is crucial as it marks the continuation of the patent prosecution process in each of the national patent offices where protection is sought.
Issue Date (or Grant Date)
This is the date on which the patent is officially granted by the patent office. From this date, the patent owner obtains the exclusive rights to exclude others from making, using, selling, or importing the patented invention.
Publication Date
Most patent applications are published 18 months after their earliest filing or priority date (unless a non-publication request is made). The publication date is when the details of the application become publicly accessible, allowing the public to begin assessing the potential scope and impact of the patent once granted.
Maintenance Fee Due Dates
Patent owners must pay maintenance fees (also known as renewal fees or annuities) at regular intervals to keep the patent in force. These fees are typically due several years after the issue date and continue throughout the life of the patent. Failure to pay maintenance fees results in the patent expiring (although it can be revived depending on how much time has elapsed since the maintenance fee was due).
Expiration Date
This date marks the end of the patent's term, after which the patented invention enters the public domain. In most countries, the standard patent term is 20 years from the filing date of the application, assuming all maintenance fees are paid. However, this can be extended under certain circumstances, such as regulatory review periods for pharmaceutical patents. Following the AIA, patent terms can be adjusted (via Patent Term Adjustment (PTA)) due to delays in the patent office in examining the patent.
PCT National Phase Entry Deadlines
For PCT applications, typically, the deadline to enter the national phase in designated countries is 30 months from the earliest priority date. This period can vary slightly depending on the regulations of the particular national patent office.
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USPTO kind codes are two-letter codes used by the United States Patent and Trademark Office (USPTO) to identify the kind of patent document and its publication status. These codes are appended to the patent number and help to distinguish between different types of patent documents such as utility patents, design patents, plant patents, and others, as well as their status, like whether they are published applications or granted patents.
Here's a breakdown of some common USPTO kind codes used for utility patents:
WIPO ST.16 Kind Codes
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Kind of document
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Comments
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A1
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Patent Application Publication
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Pre-grant publication available March 2001
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A2
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Patent Application Publication (Republication)
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Pre-grant publication available March 2001
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A9
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Patent Application Publication (Corrected Publication)
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Pre-grant publication available March 2001
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B1
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Issued Patent
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No previously published pre-grant publication
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B2
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Issued Patent
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Having a previously published pre-grant publication and available March 2001
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C1, C2, C3
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Reexamination Certificate
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Previously used codes B1 and B2 are now used for granted Patents
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E
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Reissue Patent
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No change
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These kind codes are part of a broader international system used by many patent offices, known as the "kind code system," which facilitates the identification and categorization of patent documents globally.
See USPTO for additional information.

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3GPP (3rd Generation Partnership Project) is a collaborative project established in 1998 that brings together several telecommunications standards organizations to develop protocols for mobile telecommunications. These standards encompass not only third-generation (3G) wireless technologies but also have evolved to include 4G LTE and 5G technologies. The aim of 3GPP is to facilitate the production of internationally applicable technical specifications and reports for a full range of mobile systems, contributing to the global scalability and interoperability of telecommunications networks.
Key Features of 3GPP:
- Unified Standards: 3GPP aims to establish a globally agreed set of standards that ensure network interoperability and streamline technology deployment worldwide.
- Evolving Technology: Starting from 3G specifications, 3GPP has continuously evolved to include 4G LTE and the latest 5G technologies, shaping the core of modern mobile communication.
- Technical Specifications: The project delivers Technical Specifications and Technical Reports, which are detailed documents outlining standards for network architectures, interfaces, protocols, and functionalities.
Organizational Structure:
3GPP consists of several organizational partners, each representing different geographical regions and their respective telecommunications standards bodies. These partners are:
- ATIS (Alliance for Telecommunications Industry Solutions) - North America
- ETSI (European Telecommunications Standards Institute) - Europe
- TTA (Telecommunications Technology Association) - Korea
- ARIB (Association of Radio Industries and Businesses) - Japan
- TTC (Telecommunication Technology Committee) - Japan
- CCSA (China Communications Standards Association) - China
- TSDSI (Telecommunications Standards Development Society, India) - India
Relationship Between 3GPP and Its Organizational Partners:
- Standard Development: Each organizational partner contributes to the standard development process by providing insights, research, and proposals based on their regional market requirements and technological advancements.
- Representational Role: These partners represent the interests and technical viewpoints of their respective regions, ensuring that the developed standards are applicable and beneficial globally.
- Coordination and Approval: The organizational partners coordinate among their member companies and institutions to discuss, review, and ultimately approve the specifications developed by 3GPP. This collaboration ensures a high level of technical rigor and market relevance.
- Implementation and Compliance: Once the standards are established, these partners work within their regions to implement the standards and monitor compliance, facilitating global interoperability of mobile networks.
The synergy between 3GPP and its partners is crucial for creating robust, scalable, and interoperable telecommunications standards that not only drive technological innovation but also ensure a coherent and unified approach to global telecommunications infrastructure development.