Patent Mining
Introduction
Patent Mining
Patent mining and portfolio insight
Turn large patent collections into ranked, actionable intelligence
Patent mining is the process of searching and analysing patents to extract insights about innovation in a specific domain. IIPRD helps companies and organizations mine patent data to understand technology trends, competitive landscapes, and potential risks, producing information that supports innovation, strategy, licensing, and litigation.
Insight hidden inside the portfolio
Patent mining involves analysing patent publications, reviewing their sections, evaluating patents against a scoring system, and investigating related papers for a specific purpose. The results feed four kinds of decision.
Innovation
Surface white space and directions for research and development.
Strategy
Inform portfolio and business strategy with technology and competitor intelligence.
Licensing
Identify assets and technologies worth licensing or monetizing.
Litigation
Flag patents relevant to enforcement, infringement, and dispute risk.
Five steps from database to decision
A typical mining exercise fires keywords and key phrases at patent databases, then strategically analyses and classifies the results. Our process runs in five stages.
Data collection
Relevant patent documents are gathered from databases using search tools across the domain.
Data cleaning
Noise is removed and the data is filtered against predefined parameters for the client's needs.
Data analysis
The curated data is analysed and classified against ranking criteria using statistical and computational methods.
Data visualization
The analysed data is represented graphically, with inferences added wherever applicable.
Data reporting
Findings are reported in the format best suited to the client's request.
How patents are scored and prioritized
Documents are systematically segregated and ranked against predefined parameters, then scored on the criteria that matter to the objective.
How documents are segregated
Patents are classified against a set of predefined parameters:
How documents are scored
Ranking draws on the factors relevant to the purpose:
The technology behind the mining
We combine specialist patent-mining software with natural language processing and modern visualization tools.
Patent-mining software
Platforms such as VantagePoint and Thomson Innovation analyse large datasets and apply machine-learning models to predict trends and classify patents.
Natural language processing
NLP techniques extract information from patent texts and identify the key themes across a domain.
Visualization tools
Tools such as Tableau and Power BI turn results into interactive, insightful visual representations.
Mining that surfaces value
The challenge is not finding patent documents but identifying which ones matter, why, and how they relate to the business. Our teams turn large collections into ranked intelligence.
Domain-specialist teams
Mining run by professionals in the relevant technical field.
Systematic classification
Patents scored against predefined parameters and ranking criteria, not ad hoc judgement.
AI, ML & NLP-assisted
Machine learning and natural language processing accelerate large-scale analysis.
Insightful visualization
Findings presented as graphs, slides, and dashboards with clear inferences.
Uncover unaccounted IP
Surface valuable, overlooked assets before they are lost to the public domain.
Global coverage
Over twenty years of IP work across more than fifteen jurisdictions.