Genie AI vs LegalMiner

✅ Sophisticated AI models trained on millions of court cases and contracts; natural language processing for legal text analysis

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

❌ No native contract drafting capabilities

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

✅ AI-powered contract analysis with risk identification and custom playbook enforcement

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 functionality

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

❓ Limited editing capabilities focused on risk remediation suggestions

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

✅ Strong legal research analytics with case outcome prediction and judge behavior analysis

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

❓ Basic negotiation insights based on historical contract data, but no active negotiation tools

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

✅ Advanced data extraction from legal documents with high accuracy OCR for scanned documents

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

❓ Basic annotation and commenting features but no real-time collaboration editor

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

❓ Limited workflow capabilities focused on analytics approval processes

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

✅ Strong contract repository with advanced search and analytics across contract portfolio

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

✅ Industry-leading legal analytics dashboards with customizable reporting

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?

✅ AI-powered clause extraction and organization for private libraries

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 management functionality focused on analytics rather than creation

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?

❓ Word plugin available but with limited functionality compared to web platform

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

✅ Integrates with major cloud storage providers including Google Drive, Dropbox, Box, and iManage

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

✅ API-first approach with integrations for major legal tech platforms and CRMs

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

❓ Limited styling and formatting capabilities as focus is on analysis, not document creation

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 encryption both in transit and at rest

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

✅ ISO27001, SOC2 Type II, and HIPAA compliance

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

✅ Regional data hosting options with strict data 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, MFA, and biometric 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 control with granular permission settings

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

✅ GDPR, CCPA, HIPAA compliant with regular compliance audits

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

✅ 24/7 support via chat, email, and phone

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

❓ Structured 4-week onboarding process with data integration requirements

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

Pilot: ❓ Requires data integration setup and 4-week pilot with specific success metricsImplementation Timeline: ❓ 4-6 weeks typical implementation including data integration and user training

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 starting at $250/month per user for basic features; enterprise plans starting at $50,000 annually with custom pricing based on data volume

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