Genie AI vs Diligen

✅ Strong machine learning foundation with document analysis at its core; good pattern recognition for contract provisions

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

❌ Limited contract drafting capabilities; primarily focused on review and analysis

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

✅ Excellent AI-driven contract analysis, particularly for due diligence with pre-built provision models

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

❌ Not a primary focus; minimal document assembly capabilities

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

❌ Limited document editing capabilities; platform is review-focused

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

❓ Basic legal knowledge integration but not a comprehensive legal research tool

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

❓ Basic extraction of key terms but limited active negotiation support

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

✅ Strong OCR capabilities and data extraction from contracts

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

✅ Project-based collaboration features for team review

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

✅ Basic workflow management tools for contract review processes

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

❓ Basic contract organization and repository features but not a full CLM solution

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

✅ Comprehensive reporting on contract provisions and project analytics

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?

❓ Provision models rather than a true clause library

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.

❓ Limited template capabilities; not a core feature

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?

❓ Can export to Word but not a native Word integration

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

✅ Integration with major cloud storage providers

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

✅ API available for custom integrations; works with major DMS solutions

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

❌ Not focused on document styling or formatting

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

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

✅ SOC 2 Type II compliance

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

✅ Data residency options and strong privacy 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 and multi-factor authentication options

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

✅ Role-based access controls and permissions

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

✅ GDPR compliant and other major privacy regulations

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

✅ Email and phone support options

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

❓ Structured onboarding but requires significant time investment

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

Pilot: ❓ Formal pilot process requiring preparation and commitmentImplementation Timeline: ❓ Typically 2-4 weeks from purchase to 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 usage and number of users; typically starts at $15,000+ annually for small teams

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