Dudas combines structured rating systems with AI to help attorneys cut through patent portfolios in a fraction of the time.
The Problem
Attorneys spend weeks manually reading through hundreds of patents, building spreadsheets, and trying to maintain consistency across a team. The process is slow, expensive, and prone to human fatigue. There's a better way.
Core Principles
Drop in a portfolio and go. Dudas parses patent data, extracts claims, abstracts, and metadata, then organizes everything for review.
Every project is different. Define your own rating dimensions, scoring scales, and review workflows to match your specific objectives.
Let AI make the first pass. Dudas uses large language models to pre-score patents against your criteria, so attorneys focus on what matters.
Visualizations
Workflow
Set up your review criteria, scoring dimensions, and objectives. Each project is tailored to the specific deal or analysis at hand.
Upload patent data in bulk. Dudas handles parsing, normalization, and organization automatically.
Large language models analyze each patent against your criteria, generating preliminary scores and notes. This surfaces the patents that matter most.
With AI scores as a guide, attorneys focus their expertise where it has the highest impact. Override, refine, and finalize ratings with full context.
10x
Faster portfolio review
100%
Attorney oversight maintained
0
Spreadsheets needed