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✅ Integrated AI for document classification, clustering, and predictive coding; Everlaw AI features for document analysis

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

❌ Not focused on contract drafting functionality

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

✅ Advanced document review capabilities but oriented toward litigation discovery rather than contract negotiation

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

❌ No dedicated 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 focused on redactions and annotations rather than creative editing

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

❌ Basic legal research features but not as comprehensive as dedicated research platforms

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

❌ No specific contract negotiation tools

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

✅ Superior OCR and data extraction capabilities including audio and video transcription

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

✅ Strong real-time collaboration features in its cloud platform including shared workspaces

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

✅ Comprehensive workflow management for document review and case preparation

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

❌ Not designed for contract lifecycle management

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

✅ Advanced analytics and visualization tools for case data and user activity

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?

❌ No private clause library functionality

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.

❌ Template functionality limited to litigation workflows, not contract templates

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?

❌ Limited Microsoft Word integration focused on document review rather than creation

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 including Google Drive, Dropbox, Box, and OneDrive

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

✅ Integrations with major legal tools including Relativity, Zapier, iManage, and NetDocuments

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

❌ Primarily focused on document review rather than formatting and 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 end-to-end encryption and SOC 2 Type II compliance

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

✅ SOC 2 Type II, FedRAMP Authority to Operate, HIPAA compliance

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

✅ Strong data sovereignty controls with regional data centers and GDPR compliance

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, 2FA, and SAML

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

✅ Granular access controls and permissions management

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

✅ Compliant with GDPR, CCPA, HIPAA, and FedRAMP

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

✅ Multiple support channels including email, chat, and phone

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

❌ Comprehensive onboarding but typically requires 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 requiring significant commitment of time and resourcesImplementation Timeline: ❌ Typically 2-4 weeks from purchase 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 data volume and user counts, starting at approximately $15,000-$25,000 annually for small teams

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