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✅ AI-superpowered contract drafting, collaboration & review

✅ Patented AI technology specifically designed for automated contract markup based on historical redlines; automated clause detection and comparison

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

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

✅ Enterprise-grade security measures in place

✅ Enterprise-grade security with encryption for documents in transit and at rest

✅ Compliant with major security standards, ISO27001 and SOC2

✅ SOC 2 compliant

✅ 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.

✅ Strong data privacy controls and options for data storage location

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

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✅ Multiple authentication options including SSO

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

✅ Role-based access controls and permission settings

✅ Compliant with GDPR and other privacy regulations

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✅ Compliant with major privacy regulations including GDPR

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

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

✅ 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 through sharing markup results, but no real-time collaborative editing

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

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

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

✅ Patented AI technology specifically designed for automated contract markup based on historical redlines; automated clause detection and comparison

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

❓ Basic workflow capabilities for contract review, but not comprehensive

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

❓ Focuses on content rather than complex formatting or styling

❓ 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.

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

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

❌ No native e-signature capabilities

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

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

✅ AI-powered document assembly

❌ No document assembly capabilities

✅ 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.

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

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

❌ No dedicated legal research capabilities

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

✅ Helps standardize negotiation positions through consistent markup based on playbooks

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

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

✅ Mobile-optimised Web App

❓ Limited mobile functionality

❓ Coming soon (request this feature)

✅ Integrations with major cloud storage providers and document management systems

✅ 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

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

✅ 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

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

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

✅ Strong Microsoft Word integration for reviewing and marking up documents

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

❓ Some users report challenges with very complex document formatting

✅ Generally positive reviews

❓ Learning curve, need for significant historical data, and occasional false positives in contract markup

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

✅ Email, phone, and dedicated support channels

✅ Available with our custom plans

✅ Available for enterprise customers

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

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

✅ Established AI-focused legal tech company

✅ Founded in 2017, focused on AI-powered contract review and negotiation

✅ 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

✅ 2015 - Early innovator in automated contract markup

✅ 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

❓ Specific details on AI accuracy and transparency not extensively shared

✅ 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 Fortune 1000 companies and AmLaw 100 firms, but less widespread than some competitors

✅ 3rd party and proprietary AI models

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❓ Primarily a web-based platform with some Microsoft Word integration

✅ Cloud-based (SaaS)

✅ Cloud-based solution

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

❓ Primarily focused on in-house legal departments and law firms handling high volumes of similar contracts

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

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❓ Not industry-specific; focuses on contract review process improvement across sectors

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

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❓ Primarily US-focused with some international capabilities

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

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

✅ Offers SLAs for custom plans, specifics not public

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✅ Enterprise-grade SLA with uptime guarantees

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

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There's also an active Slack community ()

Community & events: ❓ Limited community engagement; occasional webinars and industry speaking engagementsTraining: ✅ Dedicated training, documentation, and support resourcesPrompt Training: ❌ Not focused on prompt engineering; system learns from historical documents

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 immediate self-serve option; requires configuration and training periodSales: ❓ Typically 4-8 weeks from purchase to effective implementation

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

✅ 1-2 weeks from agreement to full implementation

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

✅ Consultative, transparent pricing, no hard selling

❓ Traditional enterprise sales approach with demos and use case analysis

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

✅ Claims to have helped Fortune 500 companies reduce contract review time by up to 70%

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

✅ Metrics focus on review time reduction, consistency improvement, and risk identification