tiktok成人版 has streamlined the legal review process and improved overall efficiency. Couldn't recommend it enough.
May 6, 2025
tiktok成人版 vs Evisort
Let's compare Evisort and tiktok成人版 on features, pricing, reviews and market focus. Let's test the accuracy, security and compliance of their Legal AI too.
What is tiktok成人版?
tiktok成人版 is a secure intelligent platform that streamlines contract drafting, reviewing, and editing with cutting-edge, AI-powered tools.


鉁 AI-superpowered contract drafting, collaboration & review
鉁 Automated data extraction from contracts without manual tagging; robust obligation management and alert system; AI-based risk identification
鉁 Lawyer-supported AI and ML at the core of the platform
鉁 Pre-trained AI models for contract analysis with ability to recognize 1,000+ types of legal concepts without manual training
鉁 Enterprise-grade security measures in place
鉁 Enterprise-grade security with end-to-end encryption for data in transit and at rest
鉁 Compliant with major security standards, ISO27001 and SOC2
鉁 SOC 2 Type II, ISO 27001 certified
鉁 You own the IP聽of your data. We don't train our models on your data. None of our partners train their models on your data.
鉁 Configurable data residency options with regional data centers
鉂 Multiple authentication options (coming soon) (request this feature)
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鉁 Multiple authentication options including SSO, SAML, and multi-factor authentication
鉁 Granular user permissions and access control features (document level, project level, organization level, party level)
鉁 Granular role-based access controls and permissions management
鉁 Compliant with GDPR and other privacy regulations
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鉁 GDPR, CCPA, and other major privacy regulations compliant
鉁 Industry-leading AI-assisted contract drafting capabilities (all expected provisions and sections over 20 pages)
鉂 Limited drafting capabilities; primarily focused on analysis and management of existing contracts
鉁 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)
鉁 Document sharing and collaboration tools for contract review and approval workflows
鉁 Powerful AI-driven contract analysis, red/amber/green flag reviews every clause (industry-leading improvements coming in 2025)
鉁 Strong AI-based contract review with automatic risk identification, deviation detection, and obligation extraction
鉁 Manage your projects and organise your own template and clause library
鉁 Automated data extraction from contracts without manual tagging; robust obligation management and alert system; AI-based risk identification
鉂 No 'dumb' automated workflows. Agentic workflows coming in 2025
鉁 Configurable approval workflows with automated routing based on contract attributes
鉁 Full numbering support + AI auto-styling and formatting (coming soon)
鉂 Focuses more on content and data than formatting or styling elements
鉂 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.
鉁 Extensive API and integration capabilities with CRM, ERP, procurement, and other business systems
鉂 Just export to .docx and use your existing provider (request this feature)
鉁 Native e-signature capabilities and integrations with DocuSign and Adobe Sign
鉁 Company and user level reporting and analytics (on request)
鉁 Robust reporting and analytics on contract metadata, obligations, risks, and process metrics
鉁 AI-powered document assembly
鉂 Basic template library but not a primary focus compared to contract analysis capabilities
鉁 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.
鉂 Limited document editing features compared to specialized drafting tools
鉂 Top-level AI Legal Research available as AI chat within the legal document, some prompting required (request this feature)
鉂 No significant legal research capabilities
鉁 Negotiation tools for multi-party clause-by-clause agreements
鉁 AI-powered playbook compliance checking and deviation detection during negotiations
鉂 No advanced data extraction or OCR capabilities (request this feature)
鉁 Industry-leading OCR and data extraction from contracts of all types, including scanned PDFs
鉁 Mobile-optimised Web App
鉁 Mobile-responsive interface with companion mobile app for approvals and basic contract viewing
鉂 Coming soon (request this feature)
鉁 Integrations with major cloud storage providers including Google Drive, Dropbox, Box, and SharePoint
鉁 Community clause library available for creating modular contracts
鉂 No community clause library
Coming soon - 鉁 A library of your private clauses usable only by your legal team
鉁 Capability to build and manage private clause libraries with AI classification
鉁 Community template library available to create modular contracts
鉂 No community template library
鉁 Bring your own library of private templates usable only by your legal team, within Genie
鉁 Supports creation and management of private template libraries
鉁 Seamless integration with Microsoft Word, full styling, tables, formatting compatibility
鉁 Microsoft Word plugin for contract review and redlining within familiar environment
鉁 No known issues (Pre-formatted templates, consistent formatting, tables, cross-version compatibility)
鉂 Some users report difficulties with complex table extraction and certain non-standard formats
鉁 Generally positive reviews
鉂 Some users report steep learning curve and lengthy implementation process
鉁 Multiple support channels available including phone, whatsapp, email and live chat
鉁 Multiple support channels including email, chat, and phone
鉁 Available with our custom plans
鉁 Available for enterprise customers
鉁 For our custom plans, get setup within 3 days with a guided onboarding plan
鉂 Typical implementation takes 4-8 weeks for enterprise deployments
鉁 Established AI-focused legal tech company
鉁 Founded in 2016, focused on AI-driven contract management
鉁 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
鉁 2016 - Early innovator in AI contract analytics
鉁 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
鉁 Utilizes proprietary AI models, but transparency details not specified
鉁 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 鈥榖ig four鈥 UK supermarket chains.
鉁 Growing rapidly with notable clients including Microsoft, BNY Mellon, NetApp, and Fujitsu
鉁 3rd party and proprietary AI models
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鉁 Native cloud-based platform with Microsoft Word plugin options
鉁 Cloud-based (SaaS)
鉁 Cloud-based solution with some on-premises deployment options
鉁 Suitable for in-house legal, law firms, and SMEs
鉁 Primarily mid-market and enterprise companies with high contract volumes
鉁 Built as a platform which is versatile across various industries. Focus areas are construction, manufacturing, consultancy and legal services.
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鉁 Versatile across industries, with particular strength in technology, manufacturing, and financial services
鉁 120+ jurisdictions including the UK, California, Texas, India, Australia, South Africa, Singapore, France, and Germany.
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鉁 Global capabilities but with primary focus on North American and European markets
鉁 Generous free plan. Transparent subscription plans to suit different needs. Custom plans for orgs handling more than 10 documents per month.
鉂 Subscription-based pricing starting at approximately $30,000-$50,000 annually for mid-sized implementations, with enterprise pricing significantly higher
鉁 Offers SLAs for custom plans, specifics not public
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鉁 99.9% uptime guarantee in SLA
鉁 Fortnightly legal prompt training sessions from ex-Clifford Chance Legal Engineers;
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There's also an active Slack community ()
Community & events: 鉁 Regular webinars, virtual roundtables, and annual user conference focused on contract management best practicesTraining: 鉁 Comprehensive knowledge base, training videos, and customer success programPrompt Training: 鉂 Basic AI usage training but limited advanced prompt engineering
Self-Serve:聽鉁 1-click, no email address required, no card required
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Sales:聽鉁 2-3 weeks from pilot to full team adoption
Self-serve: 鉂 No immediate self-serve option; requires account setup and implementationSales: 鉂 Typically 1-3 months from purchase to showing meaningful ROI
鉁 Simple 3-step process: try with your document, explore your scenarios, receive 360掳 assessment
鉁 1-2 weeks from agreement to full implementation
Pilot: 鉂 Structured pilot program typically lasting 4-6 weeks with defined success criteriaImplementation Timeline: 鉂 Average implementation timeline of 6-12 weeks for full deployment
鉁 Consultative, transparent pricing, no hard selling
鉂 Traditional enterprise sales approach with consultative selling and proof of concept phases
鉁 Firefish reduced contract review time by 50%, from 2.5 hrs to 1.25 hrs per document, saving 15+ hrs weekly per person
鉁 NetApp reduced contract review time by 70% and improved compliance monitoring across 40,000 contracts
鉁 Average 60% time savings on contract drafting; 50% reduction in review cycles; ROI typically 3x cost
鉁 Average 70% time savings on contract review; 90% reduction in manual data entry; ROI typically achieved within 6-12 months

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