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Choosing the right LexisNexis® IP data set

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Overview

FAQs

Summary

 

Overview

LexisNexis® offers a range of intellectual property data products designed to support different use cases across the patent lifecycle from raw patent data ingestion to advanced analytics, litigation intelligence, and prosecution strategy.

This guide helps you determine which dataset is right for your needs, based on the type of data you require, how you want to use it, and how you plan to integrate it into your systems.

Choosing the right dataset depends on your data needs, use cases, and integration requirements. If you want to learn more and discuss your specific needs after reviewing the FAQs below, please complete this form and a member of the team will reach out to you.

 

FAQs

What is the difference between IP DataDirect and PatentSight+™ Bulk Data?

The key difference is the level of data and intended use:

  • IP DataDirect provides document-level patent data, including global patent publications, legal status, and metadata. Best for building internal patent databases or search systems.

  • PatentSight+ Bulk Data provides patent family–level analytics data, including ownership, technology classifications, and proprietary metrics. Best for portfolio analysis, benchmarking, and strategic insights.

If you need raw patent data, choose IP DataDirect.
If you need analytics-ready patent intelligence, choose PatentSight+ Bulk Data.

 

When should I use the Global Patent Litigation Dataset?

You should use the Global Patent Litigation Dataset (GPLD) when you need visibility into patent disputes and litigation risk. It is best suited for:

  • Monitoring litigation activity across jurisdictions

  • Assessing risk in M&A or patent acquisitions

  • Tracking competitor enforcement strategies

  • Analyzing litigation outcomes and trends

Choose GPLD when your focus is litigation, disputes, and risk analysis.

 

What is the difference between the Global Patent Litigation Dataset (GPLD) and PatentAdvisor® API?

These datasets cover different stages of the patent lifecycle:

  • GPLD focuses on litigation (what happens after a patent is enforced or challenged)

  • PatentAdvisor API focuses on prosecution (what happens during patent examination)

Use GPLD to analyze litigation risk and disputes.
Use PatentAdvisor API to optimize filing strategy and predict examiner behavior.

Many organizations use both together to understand end-to-end IP risk and strategy.

 

Which dataset should I use for building my own patent database?

Use IP DataDirect. It provides:

  • Global patent publications

  • Full-text documents

  • Legal status data

  • Standardized XML formats

It is specifically designed for data ingestion, storage, and internal system integration.

 

Which dataset is best for patent portfolio analysis and benchmarking?

Use PatentSight+ Bulk Data. It includes:

  • Patent family–level data

  • Corporate ownership mapping

  • Technology clustering

  • Metrics such as Patent Asset Index

It is designed for analytics, benchmarking, and strategic decision-making.

 

Can I combine multiple datasets?

Yes. Many organizations use multiple datasets together. For example:

  • IP DataDirect to build a patent data foundation

  • PatentSight+ Bulk Data to perform analytics and benchmarking

  • GPLD to assess litigation risk

  • PatentAdvisor API to optimize prosecution strategy

Combining datasets allows organizations to build a complete view of the patent lifecycle, from filing through to litigation.

 

Which dataset is right for data science or machine learning projects?

It depends on your objective:

  • Use IP DataDirect if you need large-scale raw patent data for NLP, text mining, or custom models

  • Use PatentSight+ Bulk Data if you need structured, analytics-ready data with metrics

  • Use GPLD if you want to model litigation risk or outcomes

  • Use PatentAdvisor API if you want to model prosecution success or examiner behavior

 

How do I decide which dataset is right for my organization?

Ask yourself the following:

1. What type of data do I need?

  • Raw patent documents → IP DataDirect

  • Patent analytics → PatentSight+ Bulk Data

  • Litigation data → GPLD

  • Prosecution data → PatentAdvisor API

2. What is my primary use case?

  • Build internal patent systems → IP DataDirect

  • Portfolio benchmarking → PatentSight+ Bulk Data

  • Litigation risk analysis → GPLD

  • Filing strategy optimization → PatentAdvisor API

3. How do I want to use the data?

  • Store and manage data internally → IP DataDirect

  • Analyze and visualize insights → PatentSight+ Bulk Data

  • Integrate litigation intelligence → GPLD

  • Integrate prosecution analytics → PatentAdvisor API

 

Who typically uses these datasets?

These datasets are commonly used by:

  • IP and R&D professionals

  • Legal and compliance teams

  • Financial analysts and investment teams

  • Enterprise data and analytics teams

  • Data scientists and engineers

 

Where can I learn more about each dataset?

You can explore detailed articles for each product:

 

Summary

LexisNexis IP data products are designed to support different stages of the patent lifecycle and different types of analysis.

  • IP DataDirect > raw patent data

  • PatentSight+ Bulk Data > patent analytics

  • Global Patent Litigation Dataset > litigation intelligence

  • PatentAdvisor API > prosecution analytics

Choosing the right dataset depends on your data needs, use cases, and integration requirements. If you want to learn more and discuss your specific needs after reviewing these FAQs, please complete this form and a member of the team will reach out to you.

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