Looking for Contract Lifecycle Management Tools With AI Capabilities? Here Are 5 Options

Contract lifecycle management (CLM) is the system organizations use to create, store, track and enforce contracts from first draft to closeout. Good CLM cuts risk, speeds up approvals and keeps teams operating efficiently. For businesses that handle many partnership agreements, CLM is less a filing cabinet and more a core operational tool.

Artificial intelligence (AI) is changing what CLM can do. Rather than holding documents, modern platforms use AI to handle repetitive tasks like clause extraction and flagging risky language. Fortunately, several contract lifecycle tools with AI capabilities are taking contract management to new levels.

How the Top AI CLM Tools Were Ranked

Each platform was tested against the real-world problems teams face when managing contracts, such as finding the right clause fast and keeping obligations from slipping. The ranking involved hands-on product documentation, vendor technical specs, customer feedback and feature evaluations. Extra weight was given to a tool’s AI effectiveness and its ability to plug into an organization’s workflow.

• AI and machine learning (ML) capabilities: How accurately does the platform extract clause data, classify contract types and surface risks? ML models that handle noisy contracts and learn from corrections while providing useful predictive signals were considered.
• Platform flexibility and customization: Can non-developers adapt workflows and approval routes without custom code? Tools that let legal and ops teams set rules and automation visually, but support advanced customization where needed, were favored.
• Integration: Contracts don’t live in isolation. Native connectors and API depths for document storage, e-signatures and identity providers were evaluated.
• User adoption: An intuitive UI and in-context guidance matter for adoption. Tools were judged on how easy it is for legal and non-legal users to find clauses and onboard the platform.
• Enterprise scalability: Multitenant readiness, audit logging and encryption standards were checked. The platform must scale from small teams to global deployments without weakening security.

Also read: What is Contract Management Software and its Benefits

The Top Contract Lifecycle Management Tools With AI Capabilities in 2025

The following top picks offer deep insights for contract lifecycle management platforms with AI.

1. Agiloft

Agiloft is a no-code, data-first platform that puts configurable workflows and contract data at the center of contract operations. Instead of forcing teams into a rigid, one-size-fits-all system, Agiloft lets users model approvals and lifecycle events visually. Then they can run those rules at scale. That approach shortens implementation time for common workflows and makes ongoing changes possible without heavy development.

Under the hood, Agiloft leverages AI to accelerate review and reduce manual work. Its ML-powered extraction and clause classification tools turn messy PDFs into structured contract records. Its risk scoring and clause search make review faster. Plus, its built-in analytics help teams spot portfolio-level trends.

Key strengths:

• Flexible no-code platform: Visual workflow builder, configurable data model and rule engines let non-developers adjust processes quickly to match business cycles.
• AI core: This enhances human review with ML-driven clause extraction, risk scoring and clause library matching.
• Connected experience: Native connectors and APIs for various tools let contracts become part of operational systems.
• Scalability and security: It comes with cloud and on-premises options, role-based access, audit logs and enterprise compliance features suitable for regulated organizations.
• Implementation support: Deployments are accelerated with hands-on professional services, templates and partner ecosystem.

2. Ironclad

Ironclad focuses on making contract processes simple and fast for business teams. Its Workflow Designer gives nontechnical users a visual way to build automated contract flows, while an AI-enabled repository helps import, search and analyze existing contracts. That feature makes Ironclad a popular choice for organizations that want to move legal work out of email and into repeatable, trackable processes.

Ironclad stands out for its ease of use and cross-team collaboration. The platform is friendly for sales, procurement and legal users. Templates and request forms speed up common deals, and built-in integrations help contracts fit into existing workflows quickly.

Key strengths:

• Visual workflow designer: Build and update contract workflows with a drag-and-drop interface.
• AI-assisted repository and search: Import legacy contracts, automatically extract key fields and clauses, and surface relevant documents quickly.
• Designed for collaboration and adoption: The request intake forms, role-based workspaces, and in-line comment or review tools reduce friction between legal and business teams.
• Strong integration: Native connectors and APIs for customer relationship management (CRM) and collaboration tools make it straightforward to embed contract steps.
• Templates and speed to value: Prebuilt templates and common workflows shorten implementation time for standard sales and procurement use cases.

3. Icertis

Icertis is a CLM platform for global enterprises to manage complex contract structures and regulatory requirements. The product takes a rules-driven approach to ensure contracts remain compliant across jurisdictions and business units. Meanwhile, it offers deep post-signature capabilities so organizations can track obligations and regulatory checkpoints over time.

Icertis leans on AI and advanced analytics to support compliance and risk management at scale. Its extraction and clause classification tools turn large contract inventories into searchable, structured records. Moreover, its compliance rules enforce required language or approvals for regulated industries.

Key strengths:

• Compliance-first design: Its strong rule engines and policy controls enforce regulatory and industry-specific requirements across global contracts.
• Enterprise-grade obligation tracking: The robust post-signature management enables easy monitoring for deliverables and renewals.
• Advanced analytics: Portfolio-level dashboards and reporting identify concentration risk and compliance gaps.
• AI-assisted extraction and classification: It features automated parsing of contracts, speed reporting and downstream workflows.
• Integrations for large ecosystems: APIs and connector support let Icertis fit into enterprise procurement and governance processes.

4. ContractPodAi

ContractPodAi centers generative AI as a first-class feature, positioning the platform as an AI-powered assistant for drafting, reviewing and summarizing contracts. The product implements automation across the contract lifecycle, including intake and authoring and AI-assisted clause, analytics and reporting. Its conversational AI assistant helps legal teams produce first drafts and highlight issues that warrant human review.

ContractPodAi’s most standout feature is its AI tooling. Generative drafting helpers, automated playbooks for contract types, and analytics offer deep insights and suggestions. It also speeds legal review cycles by producing usable drafts and executive summaries while linking outputs to structured contract records.

Key strengths:

• Generative drafting and assistant features: Its AI can produce draft language, summarize long contracts and surface suggested edits, saving time on routine drafting.
• Unified CLM and AI approach: Contract creation, clause library, extraction and analytics live in the same platform, reducing fragmentation.
• Strong search and extraction: Automated parsing of legacy contracts into structured fields enables faster searching and reporting.
• Reporting and analytics: Dashboards and reports turn contract content into actionable insights.
• Good fit for legal teams exploring AI: The AI tooling helps teams experiment with generative workflows while retaining audit trails.

Also read: Everything You Should Know About a Digital Signature

5. LinkSquares

LinkSquares specializes in turning executed contracts into fast, searchable insight. Rather than focusing first on authoring or workflow builders, LinkSquares imports large contract inventories and extracts key data that makes it instantly useful for teams.

Its “Smart Values” and search tools help teams answer portfolio-level questions without manual review, saving companies time and resources. The platform was made to help legal teams conduct more work in less time by centralizing key features and streamlining processes.

Key strengths:

• Best-in-class extraction for legacy portfolios: Accurate parsing of contracts into structured fields lets teams report and act on real data.
• Smart values and search: Powerful, user-friendly search and saved-value features let users pull up contract dates and clause types in seconds.
• Post-signature analytics: Dashboards and reports enable monitoring of obligations, renewals and risks across large contract sets.
• Fast time-to-value: It can deliver insights quickly after ingestion, which is ideal for audits, mergers and acquisitions, and portfolio cleanups.
• Integrations and API: It connects with e-signature and document stores so extracted data can feed downstream systems and reporting.

Comparing the Top AI-Powered CLM Tools

The following chart compares each platform, helping potential users choose their CLM effortlessly.

Choosing an AI-Powered CLM for Your Business

Choosing the top contract lifecycle management tools with AI capabilities comes down to fit. Decide what the priority is — whether workflow automation or generative drafting — and let that narrow your shortlist.

AI CLM is excellent for reducing review time and turning contracts into measurable business insights. Run demos, test extraction accuracy and use a small team to pilot the winner before a full-scale adoption.