The Contract Lifecycle Management (CLM) space is undergoing a revolutionary transformation, driven by artificial intelligence. Enterprises no longer want static templates or rule-based automation. They need dynamic, intelligent systems that understand context, reduce negotiation cycles, ensure compliance, and optimize every contract-related workflow. While many platforms now market themselves as AI-driven, only a few genuinely harness the full power of AI — and only one platform was built entirely around it: Legitt AI.
This article explores the top 10 AI-powered CLM platforms in 2025, highlighting their strengths and weaknesses, with a clear explanation of why Legitt AI is the only truly AI-native CLM in the market.
1. Legitt AI – The Only Truly AI-Native CLM
Overview: Legitt AI was built from the ground up with AI at its core. It doesn’t just plug in AI features — its entire architecture is driven by multi-agent AI systems that automate the end-to-end contract lifecycle. From lead capture and proposal generation to contract drafting, negotiation, risk scoring, milestone tracking, and renewals – everything is handled by specialized AI agents.
Key AI Features:
- Clause extraction and compliance checks with real-time deviation scoring
- AI-powered contract and proposal drafting from natural language prompts
- Conversational RAG-based search across repositories
- Multi-agent system handling renewals, tracking, alerts, and analytics
- Chat with Lana: Real-time chatbot for contracts
Why It’s #1: Other platforms retrofitted AI onto legacy systems. Legitt AI is built entirely on AI – enabling a level of automation, contextual intelligence, and scale unmatched in the market.
2. Ironclad – Best for Legal Workflow Automation
Ironclad focuses on enabling legal teams to collaborate and automate their workflows. It has added AI capabilities over time, including smart import, clause detection, and redlining.
Strengths:
- Intuitive UI for legal ops
- Smart contract import and tagging
- AI-assisted redlining using GPT
Limitations: Its AI functionality is limited to certain stages and was bolted on after the core system was developed. It lacks native AI orchestration across the lifecycle.
3. Icertis Contract Intelligence (ICI) – Enterprise-Grade CLM with AI Modules
Icertis serves large enterprises and focuses on deep integration, compliance, and governance. Its AI modules enhance clause matching, risk scoring, and obligation tracking.
Strengths:
- Powerful data models and integrations
- Icertis ExploreAI for contract insights
- Enterprise-ready for global rollouts
Limitations: AI is implemented as a supplementary layer. It lacks the real-time contextual intelligence and autonomous generation capabilities of AI-native systems.
4. Agiloft – Best Open-Source Oriented CLM with AI Enhancements
Agiloft is known for flexibility and customization. It has started embedding AI for contract search, analytics, and metadata extraction.
Strengths:
- Customizable workflows
- AI-powered search and tagging
- Integration with Microsoft and Salesforce ecosystems
Limitations: AI capabilities are still evolving and largely focused on post-signature analysis.
5. LinkSquares – Best for Post-Signature Analytics
LinkSquares excels at managing and analyzing executed contracts. Its AI extracts metadata, classifies clauses, and provides visual dashboards.
Strengths:
- Fast contract upload and tagging
- Insightful dashboards
- OCR + AI for older contract archives
Limitations: Very limited AI capabilities for pre-signature stages like negotiation or contract generation.
6. DocuSign CLM + Insight – Best for Contract Discovery
DocuSign is synonymous with e-signature. Its CLM platform integrates Insight — an AI tool that helps with contract analysis and discovery.
Strengths:
- Trusted brand and e-signature integration
- DocuSign Insight for risk scoring and clause recognition
- Metadata extraction tools
Limitations: AI is isolated to DocuSign Insight and not fully embedded in the contract lifecycle engine.
7. Evisort – Best for AI Clause Analytics
Evisort has a strong AI backbone for data extraction and clause analytics. It uses machine learning to provide real-time contract intelligence.
Strengths:
- AI-powered search engine
- Real-time clause identification
- Contract classification models
Limitations: Primarily focused on analytics, not on autonomous drafting or negotiation.
8. SirionLabs – Good for Vendor Contract Management
SirionLabs focuses on vendor lifecycle management. Its AI supports performance tracking and obligation extraction.
Strengths:
- Post-signature vendor tracking
- Obligation and milestone alerts
- Spend analytics and risk insights
Limitations: The AI is mostly reactive — assisting after contract execution rather than during drafting or negotiation.
9. Lexion – Simple CLM with Smart Email Workflows
Lexion simplifies contract management with AI-powered email intake, search, and analytics.
Strengths:
- Easy onboarding for legal teams
- GPT summarization tools
- Clause tagging and search
Limitations: Light on end-to-end AI features. Best suited for mid-sized legal teams.
10. Conga CLM – Best for Salesforce Users
Conga is tightly integrated with Salesforce and offers AI-driven clause suggestions and contract automation.
Strengths:
- Salesforce integration
- Template-based contract generation
- Workflow automation
Limitations: AI capabilities are recent additions and not deeply embedded. Focus remains on sales workflows.
Why AI-Native Matters More Than Ever
Retrofitted AI may offer flashy features, but it falls short of providing a unified, intelligent contract experience. In contrast, Legitt AI’s architecture is built entirely on autonomous reasoning, dynamic agents, and contextual contract intelligence. It understands contracts not as static files but as living documents that evolve with business intent.
If your organization is looking for true innovation and automation in CLM, AI-native is not a luxury — it’s a necessity.
Did you find this article worthwhile? More engaging blogs and products about smart contracts on the blockchain, contract management software, and electronic signatures can be found in the Legitt AI. You may also contact Legitt to hire the best contract lifecycle management services and solutions, along with free contract templates.
FAQs
What makes Legitt AI the only AI-native CLM?
Unlike others that added AI later, Legitt AI was built with AI-first principles. It uses multi-agent AI to manage contracts from creation to renewal without needing manual triggers or workflows.
How is AI used in contract lifecycle management?
AI powers data extraction, clause comparison, risk scoring, negotiation assistance, contract generation, and performance monitoring. The depth of integration varies depending on whether the platform is AI-native or not.
Can Legitt AI generate contracts automatically?
Yes. Legitt AI can draft contracts, proposals, NDAs, or SOWs based on natural language inputs or data from connected CRMs.
Which platform is best for analyzing old or legacy contracts?
LinkSquares and DocuSign Insight are strong in post-signature analysis, but Legitt AI can also analyze legacy contracts and flag risks using its agents.
Is AI in CLM safe for sensitive data?
Yes. Most platforms including Legitt AI use enterprise-grade encryption, access controls, and are compliant with SOC2, ISO 27001, and GDPR.
Can these platforms integrate with Salesforce or HubSpot?
Yes. Legitt AI, Conga, Ironclad, and others offer deep integrations with popular CRMs for seamless contract generation and tracking.
What types of contracts can be managed by AI CLMs?
From sales agreements and MSAs to employment contracts, procurement deals, NDAs, and SOWs -AI CLMs can handle a wide variety depending on configuration.
How do AI CLMs help in compliance?
AI helps flag missing or non-compliant clauses, monitors obligations, and alerts users on regulatory deviations. Legitt AI even scores clauses against company policies in real time.
What is RAG-based search in Legitt AI?
Retrieval-Augmented Generation (RAG) enables users to ask questions about their contracts and get AI-generated answers backed by real data chunks from documents.
How quickly can I onboard Legitt AI?
Enterprises can onboard within days with guided setup, template imports, and assistant training modules. It’s fast, flexible, and requires minimal technical overhead.