Prior-Art Search API for Patent Litigation & Risk Analysis

A production-ready Prior-Art Search API used by large technology companies to support patent litigation, IPR strategy, grid searches, and portfolio risk analysis.

Open-source core. Privacy-first. Transparent pricing. Designed for high-stakes IP decisions.

An initiative by

Who This Is For

Built for organizations managing active patent risk, including:

In-house IP and litigation teams
Patent risk and strategy groups
Corporate R&D and portfolio analytics teams
Litigation support and prior-art research teams
Advanced outside counsel working with enterprise clients

If your work involves grid searches, claim-by-claim analysis, or litigation-driven prior-art discovery, this API fits.

The Problem

Litigation-Grade Prior-Art Discovery Is Hard to Scale

Grid searches require breadth across claims and embodiments
Keyword search misses non-obvious prior art
Manual searches are slow, inconsistent, and expensive
Vendor-led searches lack transparency and repeatability
Black-box tools are difficult to defend in high-risk contexts

At litigation scale, search quality becomes a risk issue, not a convenience issue.

The Solution

A Litigation-Grade Prior-Art Search API

Dedicated prior-art search engine exposed via API
Semantic search across global patent data
Designed for claim-level and grid-style exploration
Open-source core for transparency and auditability
Privacy-first by design

No opaque ranking logic.
No vendor lock-in.
No black boxes.

How It Works

Submit claims, technical descriptions, or grid inputs

Queries may include claims, embodiments, design elements, or technical summaries.

PQAI runs semantic prior-art discovery

The engine identifies relevant prior art based on meaning and technical similarity.

Receive ranked, structured results

Results are returned in a reproducible, ranked format suitable for analysis.

Use results across litigation workflows

Integrate outputs into grid searches, risk assessments, or counsel collaboration tools.

What Litigation Teams Use This For

Enterprise teams use the API to support:

Claim-by-claim prior-art grid searches

IPR and invalidity analysis

Patent risk and exposure assessment

Supporting outside counsel with broader prior-art inputs

Re-running searches as claim interpretations evolve

The API supports analysis and discovery, not legal conclusions.

Why Enterprise IP Teams Choose PQAI

Built for Litigation Contexts

Designed for depth, coverage, and repeatability.

Semantic Breadth Beyond Keywords

Surfaces relevant prior art traditional searches miss.

Transparent by Design

Open-source core enables inspection and trust.

Reproducible Results

Searches can be rerun, compared, and documented.

Infrastructure-Level Reliability

Designed to operate as a backend system, not a UI tool.

Transparent, Predictable Pricing

Usage-based pricing without opaque enterprise contracts.

Simple, Transparent Pricing

Straightforward usage-based pricing suitable for enterprise teams and litigation workflows.

Security & Data Handling

Designed for confidential, litigation-sensitive IP data

Security is treated as baseline infrastructure, not a feature.

Hear from our customers

The use of search terms, applicants and patent classes is a common way of formulating a search pattern. However, we have found that knowledge of patent classes and how they relate to subject matter is not so widespread, especially among users who do not deal with patents on a daily basis. Among other things, PQAI suggests appropriate classes based on a text, which is extremely helpful and time-saving. It also widens the scope of the search.

We use PQAI a lot and can highly recommend it to other users.

PQAI is a fantastic project that provides a user with a powerful patent search tool at their fingertips. It is by far the easiest and most effective way to quickly track down relevant IP utilising natural language queries, surpassing all the other free services I have tried in this field, and even some paid databases. Its API is also a great feature that has been integrated into some of our in-house tools, allowing our designers and researchers to quickly get a view of the patent landscape for a particular idea, without the need to switch their attention to another platform. In a world where some are suspicious of the rise and power of AI, it is wonderful to see it being put to good use like this and freely available to everyone interested.

As an AI Fellow at R42 Group, I spearheaded the development of a cutting-edge patent search tool tailored for the life sciences industry. Leveraging PQAI's robust API as the backend system, I was able to create an innovative solution that significantly enhances patent search capabilities. The swift and expert support from the PQAI team played a crucial role in the success of this project, enabling seamless integration and rapid development.

I value PQAI a lot because it offers a powerful to retrieve patents via a semantic search. My impression is that this semantic search is carried out within the abstracts.

I find the various endpoints very useful, for example that endpoint which returns independent claims specifically.

really liked the experience with PQAI so far! I'm primarily using the semantic search and semantic CPC lookup, mostly through the API and sometimes over the website. Response times are really good, and the API has a nice developer experience.

Designed for Large IP Portfolios

PQAI integrates into existing workflows and scales with demand.

Ongoing patent litigation

Large defensive portfolios

Active licensing and enforcement risk

Complex multi-claim analyses

Get Started

If your organization requires litigation-grade prior-art discovery with transparency and control, PQAI provides a defensible foundation.