Autorni

Business Intelligence for Attorneys

Business Software
Non Active, Dec 2017 ceased to operate
Pre-Funding Israel Founded 2016
LinkedIn
Last updated 2026-06-18
Total raised
—
Stage
Pre-Funding
Founded
2016
Headcount
1-10
HQ
Israel
Sector
Business Software

About

Autorni is an artificial intelligence legal dashboard designed to automatically create a full, up-to-date picture of users' corporate and commercial affairs. Autorni uses natural-language processing techniques to digitize documents. Autorni transforms unstructured legal documents into structured data and provides real-time business intelligence and insights, safely storing important information in Autorni's legal database.

Q&A

What is Autorni's primary business?
Autorni provides business intelligence for attorneys, offering an artificial intelligence legal dashboard that digitizes documents using natural-language processing to transform unstructured legal documents into structured data.
When was Autorni founded?
Autorni was founded in June 2016.
What is the current status of Autorni?
Autorni is currently inactive, having ceased operations in December 2017.
Where is Autorni headquartered?
Autorni is headquartered in Israel.
Who are the co-founders of Autorni?
The co-founders of Autorni are Motti Bebchuk (Co-Founder & CEO), Pinchas Crown (Co-Founder & CPO), and Alon Segal (Co-Founder & CTO).
What technologies does Autorni utilize?
Autorni utilizes Artificial Intelligence, Machine Learning, and Natural Language Processing as key technologies.
What is Autorni's primary sector?
Autorni's primary sector is Business Software.

Team · 3

Motti Bebchuk
Founder · Co-Founder & CEO
LinkedIn ↗
Pinchas Crown
Founder · Co-Founder & CPO
LinkedIn ↗
Alon Segal
Founder · Co-Founder & CTO
LinkedIn ↗

Sectors & technology

Primary sector
Business Software
Sub-sectors
Business SoftwareIT, R&D & Data SolutionsData Analysis & Decision SupportData ArchitectureOperations SolutionsLegal & Compliance Solutions
Technologies
Platforms & InterfacesSoftwareArtificial IntelligenceMachine LearningNatural Language Processing
Target customers
Enterprise & Professional ServicesEnterprises
Business model
B2B

Highlights

Verified

Tags

big-dataartificial-intelligenceenterprise-solutionsregulationlegaltechmachine-learningnatural-language-processing
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