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✅ Proprietary NLP and ML technologies specifically trained on legal documents and contracts

Advanced algorithms that learn from legal documents to automate and enhance contract analysis, drafting, and review processes.

❌ AI-assisted drafting capabilities through LegalOn Draft, though not as central to the platform as review functionality

Does the platform offer a streamlined system for creating full-length legal documents from scratch using AI-powered suggestions, templates, and clause libraries?

✅ Market-leading AI-powered contract review with detailed risk assessment, clause detection, and alternative language suggestions

Can the platform run a systematic analysis of legal documents to identify risks, obligations, and key terms while suggesting necessary changes and improvements?

❌ Basic document assembly capabilities available but not as fully featured as specialized document assembly tools

Can the platform be used to combine pre-approved legal content and templates to quickly create new contracts and legal documents?

✅ AI-powered suggestions for improving contract language and fixing issues identified during review

Does the platform enhance document editing by suggesting improvements, corrections, and alternative language in the document, in real-time?

❌ Limited legal research capabilities compared to dedicated research platforms

Does the platform directly connect to legal databases and precedents that enable research and citation while drafting documents?

✅ Strong support for contract negotiation with suggested language alternatives and issue tracking

Can the platform help track, manage and respond to contract changes and counterparty requests during negotiations?

✅ Advanced data extraction for key provisions, obligations, and contract metadata

Can the platform automatically convert scanned documents and images into searchable, editable text while pulling out key information and data points?

✅ Team collaboration features including comments, shared reviews, and approval workflows

Does the platform enable multiple team members to work together on contracts in real-time, with comments, tracked changes, and version control?

✅ Structured workflow capabilities for contract routing, reviews, and approvals

Does the platform automate routine legal tasks and document processes through customizable rules and triggers, reducing manual work and streamlining operations?

✅ Contract repository with search and analytics capabilities

Does the platform house a centralized system to store, track, and monitor contracts throughout their lifecycle, from creation to expiry?

✅ Comprehensive reporting on contract review metrics, risk profiles, and team performance

Can the platform track, measure, and visualize contract data, or team usage data to provide real-time ROI figures, actionable business and individual performance insights?

✅ Capability to build and maintain private clause libraries with preferred language

A secure repository where organizations store and manage their own frequently-used contract clauses and legal language.

❌ No community template library

A shared collection of pre-built legal document templates, contributed to and accessible by all users of the platform.

✅ Support for creating and maintaining private template libraries

A secure collection of your organization's customized document templates, accessible only to authorized team members within your company.

Is the platform accessible on the cloud and/or can it be installed directly on-premises, or using company servers?

✅ Microsoft Word integration for reviewing and editing contracts

A seamless integration with Microsoft Word that allows users to draft and edit documents directly within the familiar Word interface.

✅ Integrations with major cloud storage platforms

Does the platform connect with popular cloud storage platforms to access and manage documents directly within the system?

✅ Integration with CLM systems, CRM platforms, and enterprise software

Can you connect with your existing software via standardized APIs and/or custom integrations?

❌ Handles standard legal formatting, but primary focus is on content rather than complex styling

Can you automatically apply and maintain professional legal document formatting, including numbering, cross-references, and hierarchical styles when editing, and when importing/exporting to MS Word?

✅ Enterprise-grade security with encryption in transit and at rest

Does data remain encrypted during transmission and storage, protecting sensitive information at every stage of handling?

✅ SOC 2 Type II compliant, ISO 27001 certified

Which recognized security certifications and regulatory standards can verify the robustness of the platform's data protection measures?

✅ Regional data centers and strong data sovereignty controls

Can the customer own their own data, or can the platform use it and process it, to train their Legal AI models for example?

✅ SSO, multi-factor authentication, and other enterprise security features

Does the platform offer secure login options including API keys, 2FA, tokens, and/or single sign-on to manage system access?

✅ Granular role-based access controls

Can you manage who can view, edit, and share documents through customizable user roles and restrictions?

✅ GDPR, CCPA compliant with regular security audits

Does the platform comply with international data protection requirements including GDPR, CCPA, and other regional privacy laws?

✅ Email, chat, and phone support with dedicated customer success managers for enterprise clients

Is there a dedicated support team providing assistance through multiple channels including live chat, email, and phone, with defined response time commitments?

❌ Structured onboarding process that typically takes 2-4 weeks for full implementation

Is there a structured process to get teams up and running with personalized training, data migration, and system configuration support?

Pilot: ❌ Formal pilot process typically requiring 2-4 weeksImplementation Timeline: ❌ 3-6 weeks from agreement to full implementation

If you do go down the sales process (not self-serve) then most want a quick and tailored pilot, followed by rapid implementation.

❌ Subscription-based pricing based on user count and document volume, typically starting at $10,000+ annually for teams

Subscription fees, usage limits, and additional costs for accessing and using the platform's features.