Genie AI vs Quant LegalTech

✅ AI-superpowered contract drafting, collaboration & review

✅ Advanced predictive analytics for litigation outcomes; quantitative analysis of legal risks; AI-driven contract analysis for compliance issues

✅ Lawyer-supported AI and ML at the core of the platform

✅ Sophisticated machine learning algorithms focused on litigation outcome prediction and contract risk assessment

✅ Enterprise-grade security measures in place

✅ Enterprise-grade security with end-to-end encryption

✅ Compliant with major security standards, ISO27001 and SOC2

✅ ISO27001, SOC2 Type II, and HIPAA compliance

✅ You own the IP of your data. We don't train our models on your data. None of our partners train their models on your data.

✅ Configurable data residency options with strict privacy controls

❓ Multiple authentication options (coming soon) (request this feature)

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✅ Multiple authentication options including SSO, MFA, and biometric verification

✅ Granular user permissions and access control features (document level, project level, organization level, party level)

✅ Granular role-based access controls with detailed audit logs

✅ Compliant with GDPR and other privacy regulations

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✅ Compliant with GDPR, CCPA, HIPAA, and financial services regulations

✅ Industry-leading AI-assisted contract drafting capabilities (all expected provisions and sections over 20 pages)

❌ Limited contract drafting capabilities; primarily focused on analysis rather than creation

✅ Built-in real-time collaboration features just like Office365 or Google Docs (No need to download your red-lined version, and make it editable, then send it on - it's all doable within Genie)

❓ Basic collaboration features but lacks real-time collaborative editing

✅ Powerful AI-driven contract analysis, red/amber/green flag reviews every clause (industry-leading improvements coming in 2025)

✅ Advanced contract risk identification and compliance analysis using proprietary algorithms

✅ Manage your projects and organise your own template and clause library

✅ Advanced predictive analytics for litigation outcomes; quantitative analysis of legal risks; AI-driven contract analysis for compliance issues

❓ No 'dumb' automated workflows. Agentic workflows coming in 2025

✅ Comprehensive workflow management for litigation teams with approval tracking

✅ Full numbering support + AI auto-styling and formatting (coming soon)

❓ Handles complex legal documents but not focused on formatting capabilities

❓ Not integrated with legal and business tools beyond full .docx compatibility. If you can use a word doc with it, you can use Genie with it.

✅ Extensive API ecosystem connecting with major practice management systems

❓ Just export to .docx and use your existing provider (request this feature)

✅ Native e-signature capabilities with audit trail

✅ Company and user level reporting and analytics (on request)

✅ Industry-leading analytics dashboards with customizable metrics and visualizations

✅ AI-powered document assembly

❓ Basic document assembly features but not a core strength

✅ Market-leading AI-powered document editing: Ask Genie to edit your styling, reformat a table, or suggestion new clause text. As tracked changes, and private per party. Genie assists with and automates entire workflows, it doesn't just produce text responses.

❓ Limited AI-powered editing capabilities compared to drafting-focused platforms

❓ Top-level AI Legal Research available as AI chat within the legal document, some prompting required (request this feature)

✅ Strong integration with legal research databases for litigation analytics

✅ Negotiation tools for multi-party clause-by-clause agreements

❓ Basic contract negotiation tools with risk highlighting

❓ No advanced data extraction or OCR capabilities (request this feature)

✅ Powerful data extraction capabilities from legal documents with advanced OCR

✅ Mobile-optimised Web App

✅ Fully-featured mobile application with analytics dashboards

❓ Coming soon (request this feature)

✅ Comprehensive integrations with major cloud storage providers

✅ Community clause library available for creating modular contracts

❌ No community clause library

Coming soon - ✅ A library of your private clauses usable only by your legal team

✅ Private clause libraries with risk scoring and compliance analysis

✅ Community template library available to create modular contracts

❌ No community template library

✅ Bring your own library of private templates usable only by your legal team, within Genie

✅ Private template library with integrated analytics

✅ Seamless integration with Microsoft Word, full styling, tables, formatting compatibility

✅ Microsoft Word plugin for risk analysis during document review

✅ No known issues (Pre-formatted templates, consistent formatting, tables, cross-version compatibility)

❓ Some users report challenges with maintaining formatting during risk analysis

✅ Generally positive reviews

❓ Steep learning curve; complex implementation; significant data preparation required

✅ Multiple support channels available including phone, whatsapp, email and live chat

✅ 24/7 support via phone, email, and dedicated Slack channel for enterprise clients

✅ Available with our custom plans

✅ Dedicated success manager for all subscription levels

✅ For our custom plans, get setup within 3 days with a guided onboarding plan

❓ Comprehensive but requires 3-4 weeks for full implementation

✅ Established AI-focused legal tech company

✅ 2018 - Early innovator in quantitative legal analytics

✅ Founded in 2017, deep AI integration from inception. A thick layer built with AI specialists and senior lawyers to ensure the models produce high quality legally customised outputs

✅ Native web platform with optional integrations

✅ Our AI models are built using proprietary intelligence and research supported by UCL, Imperial College London and Oxford University. Rigorous testing process to ensure the outputs are accurate

✅ Over 110,000 companies have registered to use the Genie platform in total, including 11 FTSE100 firms, 20 Global200 firms, a number of top US banks, and two of the ‘big four’ UK supermarket chains.

✅ Used by over 200 law firms and corporate legal departments, including several AmLaw 100 firms

✅ 3rd party and proprietary AI models

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✅ Cloud-based (SaaS)

✅ Suitable for in-house legal, law firms, and SMEs

✅ Mid to large law firms, corporate legal departments in regulated industries

✅ Built as a platform which is versatile across various industries. Focus areas are construction, manufacturing, consultancy and legal services.

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✅ Particularly strong in financial services, healthcare, and other heavily regulated industries

✅ 120+ jurisdictions including the UK, California, Texas, India, Australia, South Africa, Singapore, France, and Germany.

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✅ Primary focus on US legal system with expanding coverage in UK and EU

✅ Generous free plan. Transparent subscription plans to suit different needs. Custom plans for orgs handling more than 10 documents per month.

❓ Subscription-based pricing starting at approximately $15,000 annually with additional costs based on usage volume and custom analytics models

✅ Offers SLAs for custom plans, specifics not public

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✅ 99.95% uptime guarantee for all clients

✅ Fortnightly legal prompt training sessions from ex-Clifford Chance Legal Engineers;

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There's also an active Slack community (join now)

Community & events: ✅ Quarterly webinars on legal analytics; annual Legal Data Science Summit; active LinkedIn communityTraining: ✅ Extensive training program with certification options for power usersPrompt Training: ✅ Advanced training on creating custom analytics models and queries

Self-Serve: ✅ 1-click, no email address required, no card required
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Sales: ✅ 2-3 weeks from pilot to full team adoption

Self-serve: ❌ No self-serve option; requires full onboarding processSales: ❓ Typically 4-6 weeks from purchase to meaningful implementation

✅ Simple 3-step process: try with your document, explore your scenarios, receive 360° assessment

✅ 1-2 weeks from agreement to full implementation

Pilot: ❓ Structured pilot program requiring data integration and benchmarkingImplementation Timeline: ❓ Typically 4-6 weeks from agreement to initial implementation, with full deployment in 8-12 weeks

✅ Consultative, transparent pricing, no hard selling

❓ Consultative but requires significant discovery process and technical evaluation

✅ Firefish reduced contract review time by 50%, from 2.5 hrs to 1.25 hrs per document, saving 15+ hrs weekly per person

✅ Am Law 100 firm reduced litigation costs by 28% and improved settlement outcomes by 35% across their portfolio

✅ Average 60% time savings on contract drafting; 50% reduction in review cycles; ROI typically 3x cost

✅ Average 30% reduction in legal spend; 40% improvement in risk assessment accuracy; 25% faster regulatory compliance reviews