Audience

Companies that want to automate and enhance high-volume legal processes

About Ontra

Free yourself from routine legal work. Ontra (formerly InCloudCounsel) is the largest global provider focused on automating and enhancing high-volume legal processes. Use the below form to request more information about our leading solution. Ontra provides a scalable, end-to-end legal tech solution that other options can’t match. Our network of top-tier lawyers and team of account managers are highly specialized in specific contract types and consistently deliver dependable, high-quality work. Backed by AI and machine learning, our platform makes your processes more efficient, generates insightful reporting about trending terms and obligations in your agreements, and so much more. Over 70% average client cost savings through a flat-fee, per-document pricing structure. These are just some of the technologies at work in our proprietary software platform, designed to maximize organization, efficiency, and insight. Our platform is a key part of our end-to-end legal tech solution.

Integrations

No integrations listed.

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Company Information

InCloud
Founded: 2011
United States
ontra.ai

Videos and Screen Captures

Ontra Screenshot 1
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Product Details

Platforms Supported
Cloud
Training
Documentation
Support
Phone Support
Online

Ontra Frequently Asked Questions

Q: What kinds of users and organization types does Ontra work with?
Q: What languages does Ontra support in their product?
Q: What kind of support options does Ontra offer?
Q: What type of training does Ontra provide?

Ontra Product Features

Contract Management

Government Contracts
Buy Side (Suppliers)
Version Control
Sell Side (Customers)
Specialty Contracts
Full Text Search
Completion Tracking
Compliance Tracking
Electronic Signature
Contract Lifecycle Management
Pre-built Templates
Workflow Management

Legal Document Management

Access Controls
Contract Management
Collaboration
Archiving & Retention
Full Text Search
Document Tagging
Document Indexing
Version Control
Document Assembly