LawGeex

Overview
News
LegalTech?
Product stageSegments
Go-to-Market
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Contract management
?

Founded in 2014 by Noory Bechor and Ilan Admon, LawGeex is a pioneering legal AI company based in Tel Aviv and New York City. The company's core offering is an AI-powered contract review platform that leverages machine learning and natural language processing (NLP) to automate the contract review process. LawGeex's AI engine can analyze legal documents, identify potential risks or issues, and provide recommendations for revisions or negotiations.

The platform is designed to streamline the contract review process for enterprises, enabling legal teams to review contracts with greater speed and accuracy. By automating the initial review phase, LawGeex's technology allows legal professionals to focus on more complex tasks, thereby enhancing overall efficiency and productivity.

In a landmark study published in 2018, LawGeex's AI algorithm outperformed 20 experienced US-trained lawyers in a contract review task, achieving an average accuracy of 94% compared to 85% for the human lawyers. The study demonstrated the potential of LawGeex's AI technology to augment and enhance legal professionals' capabilities.

LawGeex has partnered with numerous leading companies across various industries, helping them streamline their contract review processes and reduce legal costs.

In September 2022, LawGeex underwent a strategic restructuring, splitting into two independent business units: the existing LawGeex brand focused on enterprise clients, and a new entity called Superlegal, targeting small and medium-sized businesses without in-house legal teams.


Sources

Disclaimer: This company profile has been generated using data obtained through automated web searches and advanced generative AI technology. While we strive to ensure the accuracy and reliability of our sources, auto-generated information could be outdated or inaccurate and should be verified independently.
HQ location:
Tel Aviv ISR
Founded year:
2014
Employees:
101-250
IPO status:
Private
Total funding:
USD 41.5 mn
Last Funding:
USD 20.0 mn (Series C; Apr 2020)
Last valuation:
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