AI case study

XLSCOUTPatent analysis and drafting

General AI models missed complex legal nuances. Fine-tuning on patent data raised accuracy 23% and enabled legally sound drafting.

Published|1 year ago

Key results

Accuracy Increase
23%
vs ParaEmbed 1.0

Result highlights

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The story

Context

A provider of AI-driven intellectual property platforms helps corporations and law firms streamline patent drafting, novelty searches, and invalidation studies.

Challenge

Standard closed-source models like GPT-4 struggled to capture the nuanced context required for specialized patent claims and technical terminology....

Solution
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Quotes

The company

XLSCOUT logo

XLSCOUT

xlscout.ai

AI-powered platform for patent research, ideation, and IP portfolio management.

IndustryProfessional Services
LocationToronto, ON, Canada
Employees51-250
Founded2017

The AI provider

Hugging Face logo

Hugging Face

huggingface.co

Open-source platform for collaborating on machine learning models, datasets, and apps.

IndustrySoftware & Platforms
LocationNew York, NY, USA
Employees251-1K
Founded2016

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