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What is Spellbook?

Enhance the speed of your contract drafting by three times through the utilization of AI technology. Spellbook employs GPT-3 to evaluate and suggest wording for your contracts right within Microsoft Word. Utilizing an extensive repository of billions of legal terms, Spellbook provides immediate recommendations to meet your contractual requirements. This expedites the process, enabling you to secure more advantageous agreements in less time. By managing the complex details, Spellbook allows you to focus on offering strategic insights that truly matter. In addition to contract analysis, Spellbook also draws on a vast array of information from Wikipedia, books, and the internet, equipping it to furnish pertinent data on diverse subjects. Powered by OpenAI's advanced GPT-3, this powerful language model guarantees outstanding performance. Furthermore, Spellbook uniquely integrates GPT-3 capabilities specifically designed for contract-related tasks, ensuring a smooth experience within Word. With this cutting-edge tool, you can optimize your workflow and significantly boost your legal drafting productivity. By embracing Spellbook, you not only streamline your drafting process but also elevate the quality of your legal documents.

What is LexVec?

LexVec is an advanced word embedding method that stands out in a variety of natural language processing tasks by factorizing the Positive Pointwise Mutual Information (PPMI) matrix using stochastic gradient descent. This approach places a stronger emphasis on penalizing errors that involve frequent co-occurrences while also taking into account negative co-occurrences. Pre-trained vectors are readily available, which include an extensive common crawl dataset comprising 58 billion tokens and 2 million words represented across 300 dimensions, along with a dataset from English Wikipedia 2015 and NewsCrawl that features 7 billion tokens and 368,999 words in the same dimensionality. Evaluations have shown that LexVec performs on par with or even exceeds the capabilities of other models like word2vec, especially in tasks related to word similarity and analogy testing. The implementation of this project is open-source and is distributed under the MIT License, making it accessible on GitHub and promoting greater collaboration and usage within the research community. The substantial availability of these resources plays a crucial role in propelling advancements in the field of natural language processing, thereby encouraging innovation and exploration among researchers. Moreover, the community-driven approach fosters dialogue and collaboration that can lead to even more breakthroughs in language technology.

Media

Media

Integrations Supported

Microsoft Word

Integrations Supported

Microsoft Word

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Free
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Rally

Date Founded

2018

Company Location

Canada

Company Website

www.spellbook.legal/

Company Facts

Organization Name

Alexandre Salle

Company Location

Brazil

Company Website

github.com/alexandres/lexvec

Categories and Features

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