Old Patent AI

1. Startup Overview

   Mission: Simplify and expedite the patent search and application process using AI technologies such as Retrieval-Augmented Generation (RAG) and AI agents to reduce the time and effort required by inventors, patent attorneys, and companies.

2. Core Features

1. AI-Powered Patent Search:

      - RAG for Patent Search: Combine retrieval-based search and generative AI models to provide detailed patent searches. The AI retrieves relevant documents from patent databases (USPTO, WIPO, etc.) and generates summaries for inventors and legal teams.

      - AI Agents: Use AI agents to interact with different patent databases globally, ensuring up-to-date and comprehensive results. Agents can handle complex search queries, detect similar patents, and flag potential conflicts.

  2. Patent Application Drafting:

      - AI-Assisted Drafting: The platform generates initial patent drafts by taking user input, including descriptions of inventions, claims, and drawings. It helps ensure the language used aligns with legal patent frameworks.

      - RAG-Enhanced Application Suggestions: AI suggests improvements or alternative phrasing based on successful past patents in related fields. AI agents assist by checking legal and compliance requirements for different countries.

3. Patentability Assessment:

      - Novelty Check: AI agents conduct a thorough novelty assessment by comparing the user’s invention with existing patents and research papers, highlighting differences and potential areas of novelty.

      - Risk Analysis: The system uses generative models to provide insights into potential risks, including rejections or disputes.

4. Collaborative AI Agents:

      - Cross-Team Collaboration: AI agents help coordinate between inventors, legal teams, and patent attorneys, ensuring that all stakeholders have access to updated patent drafts, searches, and legal recommendations.

      - Legal Updates: Agents can continuously monitor legal changes in patent law across different jurisdictions, ensuring your patent applications comply with the latest regulations.

5. AI-Driven Citation Search:

      - Automated Citation Finder: The system can search for relevant literature, patents, and prior art citations necessary to support or challenge patent applications.

6. Patent Tracking and Alerts:

      - AI Agents for Updates: Once a patent application is submitted, AI agents monitor the status in various patent offices and send real-time alerts on any updates, required actions, or legal changes.

3. Monetization Strategy

    1. Subscription Model: Offer different subscription tiers based on the size of the organization (individual inventors, small businesses, large corporations).

    2. Pay-Per-Search or Pay-Per-Application: Charge for each patent search or application drafted with AI assistance.

    3. Patent Consulting Service: Offer human support from patent experts, charged on an hourly or project basis, for complex patents or legal situations.

4. Technology Stack

   - RAG Architecture: Integrate retrieval-based transformers with a generative language model to enable efficient search and summarization.

   - AI Agents Framework: Deploy specialized AI agents for data retrieval, legal rule-checking, and task automation.

   - Patent Database Integration: Connect with APIs for global patent databases (USPTO, WIPO, EPO, etc.).

   - User Interface: Web and mobile platforms for easy access to AI-powered patent services.

5. Target Audience

   - Inventors & Startups: Offering fast and affordable patent solutions for individual inventors and tech startups.

   - Patent Attorneys: Helping legal professionals speed up search, application drafting, and assessment.

   - Corporations: Assisting large companies with streamlined patent searches and application tracking.

6. Competitive Advantage

   - Efficiency: Save time by automating repetitive tasks such as patent search and first-draft preparation.

   - Accuracy: RAG provides highly relevant patent search results by fusing retrieval with generative models.

   - Comprehensive: AI agents can manage the entire patent lifecycle, from initial searches to ongoing tracking post-application.

References

1. https://www.arxiv.org/pdf/2409.00092

2. https://github.com/us/patent-similarity-rag

3. https://github.com/google/patents-public-data/blob/master/models/BERT%20for%20Patents.md

4. https://arxiv.org/html/2406.16897v1

5.