Genie AI vs BRYTER

✅ AI-superpowered contract drafting, collaboration & review

✅ No-code workflow automation platform; visual builder for business applications; client-facing self-service portals

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

❓ Traditional workflow automation with limited native AI capabilities; relies more on integrations with AI services rather than built-in AI

✅ Enterprise-grade security measures in place

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

✅ Compliant with major security standards, ISO27001 and SOC2

✅ ISO27001, SOC2 Type II, and GDPR 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.

✅ Regional data hosting options and strong data privacy controls

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

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✅ Multiple authentication options including SSO, SAML, and OAuth

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

✅ Granular role-based access controls and permissions

✅ Compliant with GDPR and other privacy regulations

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✅ Compliant with GDPR, CCPA, and other major privacy regulations

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

❓ Not primarily designed for contract drafting; focuses on decision trees and process automation

✅ 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)

❓ Limited real-time collaboration; focused on sequential workflows rather than simultaneous editing

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

❓ Limited native contract review capabilities; primarily relies on integrations with specialized tools

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

✅ No-code workflow automation platform; visual builder for business applications; client-facing self-service portals

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

✅ Strong workflow automation with approval processes and routing capabilities

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

❓ Not specialized in document styling; primarily focused on workflow automation

❓ 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.

✅ Strong API capabilities and extensive integration options with legal tech ecosystem

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

✅ Supports e-signature through integrations with major providers

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

✅ Comprehensive analytics dashboard for tracking usage metrics and process performance

✅ AI-powered document assembly

✅ Document assembly through workflow automation and decision trees

✅ 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.

❓ Not a core strength; focused on workflow automation rather than document editing

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

❓ Not focused on legal research; primarily a workflow automation tool

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

❓ Limited native negotiation support; primarily workflow-based

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

✅ Supports data extraction through integrations and OCR via third-party services

✅ Mobile-optimised Web App

✅ Mobile-responsive design for end-user applications

❓ Coming soon (request this feature)

✅ Integrates 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

❓ Can be built using the platform but not a native feature

✅ Community template library available to create modular contracts

❌ No community template sharing

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

✅ Ability to create and maintain templates within custom applications

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

❓ Limited native integration with Word; primarily focused on web applications

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

❓ Some users report limitations when handling complex document formatting

✅ Generally positive reviews

❓ Steep learning curve, implementation complexity, and need for ongoing maintenance

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

✅ Email, chat, and phone support with dedicated success managers for enterprise clients

✅ Available with our custom plans

✅ Available for enterprise clients

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

❓ Requires significant implementation time and often professional services

✅ Established AI-focused legal tech company

✅ Founded in 2018 by legal tech experts, with a focus on no-code app development

✅ 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

✅ 2018 - Early entrant in the no-code legal automation space

✅ 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

❌ Limited information on AI model accuracy and transparency, unlike Genie's research-backed approach

✅ 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 global law firms like Clifford Chance, DLA Piper, and corporate legal departments at international enterprises

✅ 3rd party and proprietary AI models

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✅ Native web-based platform with integration capabilities

✅ Cloud-based (SaaS)

✅ Cloud-based solution with optional on-premises deployment for enterprise clients

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

✅ Law firms, corporate legal departments, and professional services

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

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✅ Legal, compliance, financial services, and professional services

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

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✅ Global platform with strong presence in Europe and growing in North America

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

❓ Subscription-based with tiered pricing starting around $10,000 annually for basic packages; enterprise deals can reach six figures

✅ Offers SLAs for custom plans, specifics not public

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✅ 99.9% uptime guarantee for enterprise 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: ✅ Regular webinars, BRYTER Summit annual event, user community forums, and regional meetupsTraining: ✅ Comprehensive documentation, academy courses, and certification programsPrompt Training: ❓ Limited focus on AI prompt training; more focused on platform training

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: ❓ Not immediate; requires building applications before deriving valueSales: ❓ Typically 1-3 months from purchase to first application deployment

✅ 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 process requiring significant commitment to build test applicationsImplementation Timeline: ❓ 1-3 months for initial implementation; additional time for building applications

✅ Consultative, transparent pricing, no hard selling

❓ Traditional enterprise sales process with consultative approach

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

✅ Global law firm reduced client intake time by 75% through automated self-service portal

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

✅ Metrics focus on process automation efficiency: 40-60% reduction in process time; 70% decrease in manual tasks; 80% higher user engagement