Executive Summary
Artificial Intelligence is changing how teams manage contracts. What used to be slow, and manual is now becoming faster, smarter, and more automated. In 2025, CLM platforms are expected to do more than just store documents; they should understand contract language, flag risks, support negotiation, and ensure every obligation is met. Among the solutions available today, several offer strong AI capabilities, and elsAi CLM is quickly emerging as an AI-first, next-generation option for enterprises. Here’s a quick look at five leading AI-powered CLM platforms worth considering this year.
1. Icertis Contract Intelligence (ICI)
Icertis is a leading CLM platform for large organizations that need robust compliance, governance, and system integration.
Key strengths
- Deep integration with SAP, Microsoft Dynamics, and other enterprise systems
- AI for obligation tracking, risk scoring, and contract insights
- Support for global contracting and multi-language requirements
- Strong compliance and governance framework
Icertis is especially useful for enterprises that handle complex contracts across multiple regions and regulatory environments.
2. elsAi CLM
elsAi CLM is an AI-native CLM platform built with intelligence at its core. Using multi-agent architecture, it automates drafting, negotiation, obligation tracking, and renewal forecasting with deep contextual understanding.
Key strengths
- AI-powered drafting and clause analysis: Generate contracts from simple prompts with automatic detection of risky or non-standard terms.
- Continuous contract intelligence: AI agents monitor obligations, compliance, milestones, renewal dates, and supplier performance.
- Natural-language assistant: Ask questions like “What are the payment terms?” and get instant, accurate insights.
- Centralized visibility: Real-time dashboards and a unified repository provide a complete view of contract status and risk.
- Flexible integrations: Connects seamlessly with ERP, CRM, procurement, and e-signature systems for smooth data flow across the organization.
Icertis is especially useful for enterprises that handle complex contracts across multiple regions and regulatory environments.
3. Ironclad
Ironclad is well known for its modern interface and strong workflow automation. It helps legal and procurement teams move faster and reduce manual review work.
Key strengths
- AI-assisted redlining and clause detection
- Smart Import for fast contract ingestion
- No-code workflow builder
- High adoption due to ease of use
- Solid integrations with business tools
Ironclad is a strong choice for teams focused on standardizing legal workflows and accelerating contract turnaround times.
4. Sirion
Sirion focuses heavily on the post-signature side of contracts. It helps organizations ensure they get the value they negotiated, especially in vendor or service agreements.
Key strengths
- Strong SLA and milestone tracking
- Vendor performance analytics
- Spend visibility and risk monitoring
- Deep capabilities for vendor-heavy operations
Sirion is a strong fit for companies that want to hold vendors accountable and make sure commitments are met after the contract is signed.
5. Agiloft
Agiloft is known for its extreme flexibility. Organizations that need custom workflows or unique contracting processes often choose it for its configurability.
Key strengths
- Highly customizable no-code configuration
- Broad integration ecosystem
- Expanding AI for metadata extraction and search
- Adaptable pricing for different business sizes
Agiloft works especially well for teams that need a tailored, specialized CLM setup rather than a standard out-of-the-box workflow.
“By 2026, over 70% of global organizations will use AI-enabled CLM platforms to improve accuracy and reduce commercial risk.”
Choosing the right AI CLM for your business
- Contract complexity and volume: Different businesses handle different types of contracts. High-volume or multi-level agreements require a CLM that can automate routing, maintain consistency, and reduce manual review effort.
- Level of automation and AI capability: Determine whether you need full lifecycle automation or specific AI features such as clause extraction, redlining support, or risk scoring. AI-native platforms typically offer deeper automation and smarter insights.
- Compliance, security, and audit readiness: A strong gen AI contract management should include governance tools like audit trails, clause libraries, access controls, and obligation tracking to meet industry regulations and ensure every change is traceable.
- Integration with existing systems: Choose a platform that connects smoothly with ERP, CRM, procurement, e-signature, and document systems. Good integration reduces manual work and improves visibility across teams.
- Ease of adoption: User-friendly workflows, guided experiences, and AI assistance make it easier for teams to learn and adopt the platform quickly, helping your organization see value sooner.
Conclusion
Each platform in this list brings meaningful value. Ironclad excels in workflow automation, Icertis in enterprise compliance, Sirion in post-signature performance, and Agiloft in customization. But for organizations looking to embrace true AI-driven contract management, elsAi CLM stands out as the most forward-looking and intelligent option.
FAQs:
What is an AI-powered CLM platform?
An AI-powered CLM platform uses artificial intelligence to automate drafting, risk detection, compliance checks, and post-signature tracking, improving accuracy and speeding up the entire contract lifecycle.
How do AI-driven CLM solutions improve contract management?
They reduce manual work, speed up reviews, flag risky clauses, ensure compliance, and provide real-time insights, helping teams make faster and more informed decisions.
What makes elsAi CLM different from traditional CLM platforms?
elsAi CLM is AI-native, with intelligence built into its core. Its multi-agent system automates drafting, risk scoring, compliance monitoring, and renewals more deeply than platforms with add-on AI.
Who benefits the most from AI-powered CLM platforms?
Organizations with high contract volumes or strict compliance needs such as manufacturing, pharma, BFSI, technology, logistics, and energy see the biggest improvements.
What factors should enterprises consider when selecting an AI CLM in 2025?
Key factors include contract complexity, automation depth, compliance needs, integrations with ERP/CRM systems, data security, and whether the platform is AI-native or AI-enhanced.
