Genie AI vs BlackBoiler

✅ Patented machine learning technology that learns from historical redlines to automate contract markup

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

❌ Not focused on contract drafting; primarily designed for review and markup

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

✅ Specialized in automated contract review and markup based on historical redlines and predefined standards

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

❌ No document assembly capabilities

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

✅ Automated redlining and markup of contracts based on learned patterns and playbooks

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

❌ No dedicated legal research capabilities

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

✅ Helps standardize negotiation positions through consistent markup based on playbooks

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

✅ Includes capabilities to extract key contract data and work with various document formats

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

❌ Basic collaboration through sharing markup results, but no real-time collaborative editing

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

❌ Basic workflow capabilities for contract review, but not comprehensive

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

❌ Not a full contract lifecycle management system; focuses on pre-execution review

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

✅ Analytics on time savings, risk identification, and negotiation statistics

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?

✅ Ability to maintain private clause libraries for comparison and markup purposes

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.

❌ Can create and maintain libraries of preferred language but not full templates

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

✅ Cloud-based solution

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

✅ Strong Microsoft Word integration for reviewing and marking up documents

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 providers and document management systems

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

✅ Integrates with major CLM systems and legal tech ecosystems, especially after Litera acquisition

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

❌ Focuses on content rather than complex formatting or 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 for documents in transit and at rest

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

✅ SOC 2 compliant

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

✅ Strong data privacy controls and options for data storage location

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

✅ Multiple authentication options including SSO

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 permission settings

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

✅ Compliant with major privacy regulations including GDPR

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

✅ Email, phone, and dedicated support channels

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

❌ Requires significant configuration to train the system on existing redline patterns

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

Pilot: ❌ Requires submission of historical redlines to demonstrate value effectivelyImplementation Timeline: ❌ 4-8 weeks typical implementation time including training the AI

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

❌ Enterprise pricing based on volume and use case; typically starts at $50,000+ annually

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