Patent Analyst Course

Lesson 1 • Global Patent Office Landscape

Maps major national and regional patent offices and their procedural roles. Provides context for understanding where patents are filed and enforced.

Lesson 2 • Core Patentability Requirements

Covers novelty, inventive step, and industrial applicability as universal patentability criteria. Connects these criteria to how analysts evaluate patent validity.

Lesson 3 • Key Actors in the Patent Ecosystem

Identifies inventors, assignees, examiners, attorneys, and licensees as core stakeholders. Understanding roles clarifies data fields encountered in patent documents.

Lesson 4 • Patent Lifecycle from Filing to Expiry

Traces a patent from application through grant, maintenance, and expiration. Analysts use lifecycle knowledge to assess patent status and remaining protection.

Lesson 1 • Abstract and Technical Disclosure

Covers the abstract's role as a summary and the description's role as full technical disclosure. Analysts use these sections to assess technology scope quickly.

Lesson 2 • Claims: Structure and Legal Significance

Analyzes independent and dependent claims as the legal boundary of patent protection. Claim interpretation is the most critical skill in patent analysis.

Lesson 3 • Reading a Patent End to End

Applies a structured reading workflow integrating all document sections into a coherent analysis. Builds speed and accuracy in extracting actionable intelligence.

Lesson 4 • Bibliographic Data and Front Page

Explains INID codes, filing dates, priority data, and classification codes on the front page. These fields are the primary data points in patent database records.

Lesson 1 • Purpose and Logic of Classification

Explains why classification systems exist and how they organize technology into hierarchical categories. Classification literacy is prerequisite to effective patent searching.

Lesson 2 • Applying Classifications in Practice

Trains analysts to assign classifications to unfamiliar inventions and validate existing codes. Accurate classification assignment improves search recall and precision.

Lesson 3 • Cooperative Patent Classification System

Covers the structure, notation, and coverage of the Cooperative Patent Classification system. CPC is the most widely used system in professional patent analysis.

Lesson 1 • Classification-Based Search Methods

Applies CPC and IPC codes as primary search filters to improve precision and recall. Classification searching complements keyword methods for comprehensive coverage.

Lesson 2 • Keyword and Boolean Search Techniques

Covers keyword selection, synonym expansion, and Boolean operators for patent queries. These techniques form the baseline of any patent search strategy.

Lesson 3 • Search Quality and Documentation

Establishes methods for evaluating search completeness and recording reproducible search histories. Documented searches support audit trails and collaborative analysis.

Lesson 4 • Major Patent Databases and Tools

Surveys free and commercial patent databases, their coverage, and their search interfaces. Analysts select the right database based on jurisdiction and analysis type.

Lesson 1 • Obviousness and Inventive Step Analysis

Applies multi-reference combination analysis to assess inventive step and non-obviousness. This is the most complex and frequently contested validity ground.

Lesson 2 • Understanding Prior Art Categories

Defines patent, non-patent, and public disclosure prior art and their evidentiary weight. Knowing prior art types guides targeted search and evidence collection.

Lesson 3 • Claim Mapping Against Prior Art

Teaches element-by-element claim mapping to prior art references for novelty analysis. Structured mapping produces clear, defensible anticipation arguments.

Lesson 4 • Evaluating Disclosure and Enablement

Assesses whether a patent specification sufficiently discloses and enables the claimed invention. Disclosure defects are independent grounds for invalidity.

Lesson 1 • FTO Fundamentals and Business Context

Defines freedom to operate and explains its role in product launch, licensing, and M&A decisions. FTO analysis is a core commercial deliverable for patent analysts.

Lesson 2 • Infringement Mapping and Risk Scoring

Maps product features against claim elements to assess literal infringement risk. Risk scoring enables prioritization of patents requiring legal review.

Lesson 3 • FTO Strategies and Risk Mitigation

Covers design-around, licensing, and invalidity challenges as responses to identified FTO risks. Analysts must understand mitigation options to advise stakeholders effectively.

Lesson 4 • Claim Interpretation for Infringement

Applies claim construction principles to determine the scope of potentially blocking claims. Accurate claim interpretation is the foundation of any infringement analysis.

Lesson 1 • Data Collection and Normalization

Covers bulk data retrieval, assignee name normalization, and family consolidation for portfolio work. Clean, normalized data is prerequisite to reliable portfolio metrics.

Lesson 2 • Interpreting and Reporting Landscape Findings

Translates quantitative and visual landscape data into strategic insights and recommendations. Effective reporting connects patent data to business and R&D decisions.

Lesson 3 • Technology Landscape Mapping

Builds visual technology maps using classification and clustering to reveal competitive structure. Landscape maps communicate complex data to non-technical audiences.

Lesson 4 • Quantitative Portfolio Metrics

Applies filing trends, citation counts, and geographic coverage metrics to characterize portfolios. Quantitative metrics provide objective benchmarks for comparison.

Lesson 1 • Foundations of Patent Valuation

Introduces cost, market, and income approaches to patent valuation and their appropriate use cases. Valuation context determines which approach yields the most defensible estimate.

Lesson 2 • Qualitative Patent Quality Indicators

Covers claim breadth, forward citations, family size, and remaining term as quality proxies. Quality indicators supplement quantitative valuation with legal and technical judgment.

Lesson 3 • Competitive Intelligence from Patent Data

Extracts R&D direction, technology bets, and competitive strategy signals from patent filing patterns. Patent data is a leading indicator of competitor innovation activity.

Lesson 4 • Supporting M&A and Licensing Decisions

Applies portfolio analysis and valuation outputs to due diligence and licensing strategy contexts. Analysts must frame findings in terms of business risk and opportunity.