5G and SEP Benchmark
Businesswoman reviewing project on computer monitor at workstation in office

Get Reliable Analyses Through Accurate and Up-to-Date Patent Data

Overcome the challenges of patent data quality with LexisNexis® Intellectual Property Solutions.

The challenges of patent data quality

Patent data is publicly available and can be sourced from patent offices worldwide, but the quality of raw data is often insufficient.

Search Icon

Incomplete ownership information

Patents do not necessarily state the entity ultimately controlling them. They might be filed under various names such as subsidiaries or inventors, making it difficult to create a holistic company profile.

Search Icon

Patents usually have a lifetime of 20 years, yet may go inactive well before then for reasons such as invalidation or lack of fee payments.

Search Icon

Incorrect translations and misspellings

More often than many realize, official records include misspellings of assignees and errors from the translation process.

How LexisNexis Intellectual Property Solutions ensures data quality

Our data harmonization team is a skilled group of experts focused entirely on data quality. Their combined process of automated checks followed by manual quality control ensures highly accurate and reliable results. The team is multi-lingual, enabling us to achieve data quality in patents filed in many languages, including English, Chinese, French, German, Japanese, Korean and Russian.

What is being harmonized?

Current accurate corporate structures

We assign subsidiaries to their group HQ, so every patent is listed under the business that is ultimately controlling it.

Historical company name changes

The applicant name recorded by the patent office may not exist anymore, so patents registered under an older name are assigned to the actual owner.

Mergers & acquisitions

As part of ongoing M&A monitoring, patents are promptly assigned to the correct ultimate owner.

Patent transactions

The buying and selling of individual patents are tracked and assigned to the company that ultimately buys them.

Misspellings

More often than many realize, official records include misspellings of assignees. These are corrected to avoid the incorrect assignment of a patent.

Recognition of homonyms

Same names are used by multiple distinct companies and universities.

A Handbook for Patent Data Quality

Learn how  LexisNexis® PatentSight® uses a unique and industry trusted approach toward ensuring consistent high data quality.

You’re just a click away from unlocking the true value of your portfolio

Learn how to profit from sound patent analysis.

Learn how LexisNexis Intellectual Property Solutions helps you overcome the challenges of patent data quality.

Submit the form, and we’ll be in touch.

More Resources

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

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

Do This, Not That: Tips for More Efficient Patent Searches

As patent search tools evolve, patent professionals must continue to understand the available tools to conduct efficient patent searches.

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.