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What is VerifAI?

VerifAI serves as an AI-enhanced add-in for MS-Word, significantly reducing the time lawyers spend on contract reviews by saving them up to 15 hours each week. HIGHLIGHTS • Utilize cutting-edge AI technology to review contracts in just 3 minutes rather than the traditional 3 hours. • Achieve monthly savings of up to $4,088 through efficient contract assessments. • Amplify your legal department's revenue per employee by a factor of five. Access a comprehensive array of contract playbooks, guidelines, and related documents to streamline your workflow. CAPABILITIES • Identify contract risks based on the personalized criteria you establish. Select from a variety of contract guidelines specifically designed for your industry or contract type. Receive tailored redline suggestions that align with your guidelines. • Pose open-ended legal inquiries to an advanced AI ChatGPT for insightful responses. How it works 1. Download VerifAI for free as a Microsoft Add-In. 2. Open the specific contract you wish to evaluate. 3. Select from our templates or utilize your own contract playbook. 4. Quickly compare the contract against your established playbook guidelines to ensure compliance and accuracy. This innovative tool not only streamlines contract reviews but also enhances overall legal efficiency.

What is Docskiff Smart Contract Analytics?

Smart Contract Analytics (SCA) is an advanced platform dedicated to Contract Discovery and Analytics, harnessing the power of Artificial Intelligence and Machine Learning to provide users with a holistic overview of contracts and related documents. This innovative platform enables organizations to extract, assess, and analyze vital information, thereby facilitating informed decision-making processes. The product boasts several key features, including the use of NLP and deep learning techniques to efficiently extract metadata. Additionally, users can export data to Excel or other preferred formats and seamlessly integrate it into any CLM or downstream system. The ability to develop dynamic machine learning models tailored to specific contract types enhances its analytical capabilities. Moreover, the platform is equipped with adapters that connect to various data sources, allowing the retrieval of legacy documents from locations such as FTP, Google Drive, SharePoint, Dropbox, and S3. It also categorizes contracts by type—such as MSA, NDA, or SOW—ensuring streamlined organization. Lastly, its document OCR functionality allows for the conversion of images, PDFs, and scanned documents into editable text, further enhancing accessibility and usability. This combination of features makes SCA an invaluable tool for organizations aiming to optimize their contract management processes.

Media

Media

Integrations Supported

Conga CLM
EraCLM
Microsoft Word
Salesforce

Integrations Supported

Conga CLM
EraCLM
Microsoft Word
Salesforce

API Availability

Has API

API Availability

Has API

Pricing Information

$60/month/user
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

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

SpotDraft

Date Founded

2017

Company Location

United States

Company Website

spotdraft.com/verifai

Company Facts

Organization Name

Standav Corp

Date Founded

2009

Company Location

United States

Company Website

www.docskiff.ai

Categories and Features

Categories and Features

eDiscovery

Case Analytics
Compliance Management
Discussion Threads
Document Indexing
Document Tracking
Full Text Extraction
Keyword Search
Metadata Extraction
Topic Clustering

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