Role-Based Programme
RB1642

AI-Powered Intellectual Property Management

Smarter IP Research, Portfolio Management & Rights Protection

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Duration
16 Hours
Level
Intermediate
Delivery
Instructor-Led
Format
Capability Training

Programme Objectives

  • Apply AI across Intellectual Property Management activities including IP identification, research, portfolio tracking, documentation, licensing, renewals, and rights monitoring.
  • Use AI-assisted techniques to analyse patents, trademarks, copyrights, agreements, disclosures, and portfolio information more efficiently.
  • Develop structured workflows for invention disclosures, IP searches, portfolio reviews, filing coordination, renewals, licensing, and infringement monitoring.
  • Improve visibility into IP assets, deadlines, ownership, commercial relevance, and portfolio risks through structured analysis and reporting.
  • Apply responsible AI practices covering confidentiality, ownership, privilege, source verification, legal interpretation, and human oversight.

Tools covered

Generative AI AssistantsAI-Powered IP ResearchDocument IntelligencePatent & Trademark Research SupportPortfolio AnalyticsLicensing AnalysisContract Review SupportSpreadsheet AnalysisReporting AssistanceWorkflow Automation

Who should attend

  • Intellectual Property Managers
  • IP Executives
  • In-House Legal Counsel
  • Patent Professionals
  • Trademark Professionals
  • IP Analysts
  • Legal Managers
  • Legal Operations Professionals
  • Technology Transfer Professionals
  • Licensing Professionals
  • R&D Legal Support Professionals
  • Brand Protection Professionals
  • Corporate Legal Professionals
  • Legal & Compliance Team Leads

Prerequisites & Participant Readiness

  • Working knowledge of intellectual property, legal, research, licensing, or portfolio-management activities
  • Familiarity with patents, trademarks, copyrights, trade secrets, or IP agreements is helpful
  • Basic document and spreadsheet skills
  • Basic awareness of Generative AI is helpful
  • No programming knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, document intelligence, research assistance, and analytics in IP management
  • Identifying AI applications across patents, trademarks, copyrights, trade secrets, licensing, and portfolio administration
  • Understanding AI assistance versus qualified IP and legal judgement
  • Recognising confidentiality, inventorship, ownership, privilege, and source-verification risks
Practical activities
  • Mapping the IP lifecycle to AI-assisted activities
  • Identifying repetitive IP-management tasks suitable for AI support
  • Comparing traditional and AI-assisted IP workflows

Scenarios

Invention Disclosure to IP Protection Review

Invention Disclosure → AI-Assisted Information Extraction → Technical Summary → Prior-Art Research Support → Ownership & Inventor Review → IP Questions → Legal Review → Portfolio Entry

Participants use AI to organise a simulated invention disclosure, conduct structured research support, identify missing information, and prepare a complete review pack for authorised IP professionals.

IP Portfolio to Strategic Management Review

Patents + Trademarks + Copyright Assets + Licences + Renewal Data → AI Analysis → Deadlines & Gaps → Portfolio Risks → Commercial Opportunities → Management Report

Participants consolidate sample IP portfolio information, identify upcoming deadlines, ownership or licensing gaps, underused assets, and potential strategic opportunities, then prepare a management-ready IP portfolio review.

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