Meet Protégé™ in PatentSight+, your source for AI-powered patent insights. Learn More

Get IP Insights Through Clean, Trusted Patent Data 

Make confident, data-driven decisions with LexisNexis® Intellectual Property Solutions.

The Challenges of Patent Data Quality

Patent data is publicly available from 100+ authorities worldwide, but raw datasets often contain critical errors:

Incomplete ownership information

Incomplete ownership information

Subsidiaries, historic names, or inventors often appear in place of the true ultimate owner, hiding the real competitive landscape.

Ambiguous legal status

Patents may lapse, be reassigned, or invalidated long before their 20-year term, making it unclear who truly controls the rights.

Name variations and translation errors

Name variations and translation errors

Misspellings, transliterations, and homonyms lead to fragmented or duplicated ownership records.

Relying on unharmonized data can result in misjudged valuations, flawed benchmarks, and billion-dollar missteps. 

How LexisNexis® Intellectual Property Solutions Works on Data Quality

Our multi‑stage harmonization combines automation with expert human review to deliver trusted patent ownership data you can act on. 

Watch how harmonization maps true ownership across jurisdictions and time.

The analysis behind the rankings

95M

Patent Families harmonized in PatentSight+
(Data as of August 2026)

35M

Families manually verified by our experts.

109+

Global authorities covered

24K+

Ultimate owners manually harmonized in PatentSight+

2K

M&A events tracked every year.

  • Global scale with local expertise – A dedicated team of 11 specialists across 3 countries, fluent in English, Chinese, Japanese, Korean, and German, verify data accuracy with deep local knowledge. 
  • Breadth and depth – All 92 million patent families in LexisNexis® PatentSight+™ (Data as of Aug 2026) are automatically harmonized, with 35 million manually verified for ownership accuracy.
  • Trusted coverage – Data is sourced from 109+ global authorities and updated continuously, including daily court data and weekly harmonization of the top 500 companies.
  • Corporate ownership clarity – Over 24,000 ultimate owners have been manually harmonized, with 3,000 new ones added annually and 2,000 ownership updates tracked each year. 
  • M&A and reassignment monitoring – Up to 2,000 M&A events per year are tracked, ensuring patent transfers are reflected in near real-time. 
Diagram of the LexisNexis multi-stage patent data harmonization process, from data collection through continuous updates

What We Harmonize

Every inconsistency in patent records can distort analytics, due diligence, and strategic decisions. Our process includes:

Subsidiaries to Parent Companies

Subsidiaries to Parent Companies

Patents filed under subsidiaries are linked back to the ultimate headquarters, so benchmarking reflects the corporate owner.

Historical Company Names

Historical Company Names

Name changes and legacy brands are reconciled, following portfolios across decades.

Mergers & Acquisitions

Mergers & Acquisitions

Both historic and ongoing M&A events are captured in near real time, to attribute new ownership.

Patent Transactions

Patent Transactions

Sales and reassignments are tracked near continuously, keeping portfolios aligned with the current rights holder.

Misspellings and Variations

Misspellings and Variations

Inconsistencies across patent office records are standardized, reducing false positives and data fragmentation.

Homonyms and Translations

Homonyms and Translations

Same names are used by multiple distinct companies and universities.

Patent Data Quality Handbook
Two colleagues reviewing patent analytics data together on a tablet

Why It Matters 

  • Benchmark portfolios with confidence
  • Detect competitors and new entrants
  • Identify litigation risks and enforcement patterns
  • Support high-stakes decisions in M&A, licensing, and strategy
  • Earn confidence in the boardroom

Trusted Data for High-Stakes Decisions 

Put audit‑ready IP metrics in front of executives and investors. The same harmonized datasets that power our platforms also support boardroom discussions, investor communications, and regulatory filings, so results are transparent, explainable, and defensible when the stakes are highest. Our verification spans ultimate ownership, legal status, and standardized bibliographic fields, backed by large‑scale automation and expert curation. 

The same trusted data that underpins our platforms is used in litigation, licensing negotiations, and regulatory disclosures. It is auditable, transparent, and defensible—giving leaders the confidence to rely on it in investor communications, sustainability reports, and executive decision-making. 

See how companies are bringing IP into the boardroom with trusted LexisNexis data

Explore how trusted IP data builds confidence in the boardroom: 

Test Video Transcript

What We Offer — Turn Data Into Action

IP Intelligence Software 

Turn trusted patent data into decision-ready insight with analytics platforms such as LexisNexis® PatentSight+™ with Protégé™ and LexisNexis® IPlytics™. Benchmark portfolios, explore technology landscapes, assess standards and SEP intelligence, and communicate findings with transparent, explainable analytics.

 

IP Data Access 

Bring clean, harmonized patent data directly into internal analytics, BI, and AI workflows. Access document-level patent data, analysis-ready PatentSight+ Dataset content, firmographic identifiers, litigation data, and specialized standards or SEP data through the delivery path that fits your environment.

Consulting Services

Partner with our seasoned IP experts to gain tailored perspectives on portfolios, markets, and risks. Extend your internal capabilities with analyses designed to inform high-stakes decisions. 

Professional reviewing IP strategy data on a desktop monitor

Frequently Asked Questions (FAQs)

More Resources

5 Consequences Of Patent Data Errors: The Applicant Name Field

5 Consequences of Patent Data Errors: The Applicant Name Field

Patent data quality is crucial for ensuring reliable analytics. In this blogpost we discuss five consequences of patent data errors.

Data And Decisions: The Risks In Relying On Inaccurate Patent Data

Data and Decisions: The Risks in Relying on Inaccurate Patent Data

If organizations base critical business decisions on inaccurate patent data, they may experience negative business results.

6 Common Patent Data Errors and How they Affect your Decisions

6 Common Patent Data Errors and How They Affect Your Decisions

We explored the impact of common patent data errors in one of the most problematic fields for patent data: the applicant name field.