Genie AI vs Berkeley Bridge

❓ Traditional rules-based expert system with limited native AI capabilities; focuses on structured decision trees rather than generative AI

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

❓ Document generation based on decision trees and templates, but lacks advanced AI 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?

❓ Limited contract review capabilities; focused on document creation rather than analysis

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

✅ Strong document assembly through decision tree-based template selection

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

❌ No AI-powered document editing capabilities

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

❌ No integrated legal research capabilities

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

❌ No specialized negotiation support tools

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

❓ Basic data extraction capabilities through forms, but limited compared to specialized tools

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

❓ Basic sharing of applications but limited real-time collaboration

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

✅ Strong workflow capabilities through customizable decision trees

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

❓ Basic document management but no specialized contract lifecycle management

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

✅ Comprehensive analytics on user interactions and decision pathways

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?

❓ Can create private libraries but through manual configuration

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.

✅ Robust capabilities for creating and maintaining private template libraries

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?

❓ Can generate Word documents but limited direct integration

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

✅ API-based integrations with popular storage solutions

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

✅ Open API allows integration with various business systems and legal tools

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

✅ Supports complex document styling and formatting through templates

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 encrypted data transmission

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

✅ ISO27001 compliant

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

✅ EU hosting options with strong 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?

✅ Multiple authentication options including SSO

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

✅ Granular role-based access controls

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

✅ GDPR compliant

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

✅ Email, phone, and ticketing system

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

❓ Requires significant implementation time and training

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 months 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.

❓ Enterprise licensing model with pricing based on users, applications, and deployment options. Starting from approximately €15,000 annually.

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