Role-Based Programme
RB1643

AI-Powered Intellectual Property Management

Intelligent IP Research, Portfolio Monitoring & Rights Management

IMAGE REQUIRED
Duration
32 Hours
Level
Advanced
Delivery
Instructor-Led
Format
Capability Development

Programme Objectives

  • Develop advanced capability to apply AI across intellectual property research, portfolio administration, rights tracking, document analysis, and management reporting.
  • Use AI to analyse patents, trademarks, copyrights, designs, licences, agreements, registrations, renewal records, correspondence, and supporting documentation.
  • Build repeatable AI-assisted workflows for IP searches, portfolio monitoring, deadline tracking, document review, rights management, and reporting.
  • Apply AI to improve prior-art research support, trademark screening, IP classification, portfolio visibility, renewal management, and knowledge retrieval.
  • Design responsible AI-enabled Intellectual Property workflows with appropriate controls for confidentiality, ownership, legal interpretation, source verification, accuracy, privilege, and human legal oversight.

Tools covered

Generative AI AssistantsAI Search & ResearchDocument AIPatent & Trademark Research ToolsOCR & Data ExtractionSpreadsheet & Data AnalysisKnowledge Management AIPortfolio AnalyticsReporting & Dashboard ToolsWorkflow Automation

Who should attend

  • Intellectual Property Managers
  • IP Counsel
  • Legal Counsel
  • Patent Professionals
  • Trademark Professionals
  • IP Analysts
  • IP Portfolio Managers
  • Legal Operations Professionals
  • Patent & Trademark Administrators
  • Technology Transfer Professionals
  • Licensing Professionals
  • Brand Protection Professionals
  • Innovation Management Professionals
  • Legal Research Professionals
  • Intellectual Property Management Team Leads

Prerequisites & Participant Readiness

  • Working knowledge of intellectual property, legal, innovation, technology, brand, or licensing activities
  • Familiarity with patents, trademarks, copyrights, designs, licences, registrations, or IP-related documentation
  • Basic proficiency with documents, spreadsheets, online research, and workplace productivity applications
  • No previous AI course attendance required
  • No programming background required

TOC Modules

Concepts
  • Understanding Generative AI, AI search, Document AI, and IP analytics
  • Mapping AI opportunities across patents, trademarks, copyrights, designs, licensing, and portfolio management
  • Understanding AI assistance versus qualified IP legal judgement
  • Recognising confidentiality, ownership, hallucination, jurisdiction, and source-verification risks
Practical activities
  • Mapping an existing IP lifecycle and identifying AI opportunities
  • Comparing manual and AI-assisted IP management activities
  • Creating an IP Management AI opportunity matrix

Scenarios

New Innovation to IP Portfolio Management

Innovation Disclosure → IP Classification → Prior-Art Research → Patent / Trademark Review Support → Ownership Documentation → Filing Tracker → Renewal Monitoring → Portfolio Reporting

Participants use AI-assisted techniques to structure a simulated innovation, organise relevant IP research and documentation, track rights-management activities, and prepare an IP portfolio record for authorised professional review.

IP Portfolio to Intelligent Rights Monitoring Workflow

Patents + Trademarks + Copyright Assets + Licences + Renewal Dates + Market Signals → AI Classification → Deadline Monitoring → Potential Conflicts → Automated Alerts → Dashboard → Legal Management Reporting

Participants design an AI-enabled IP management workflow that improves portfolio visibility, renewal tracking, rights monitoring, document organisation, and executive reporting while retaining all legal conclusions and IP decisions with authorised professionals.

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