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What Is AI Contract Management?
AI contract management refers to the use of AI systems in contract management processes to automate and speed up repetitive tasks (e.g., data entry) and time-consuming tasks (e.g., contract drafting and document search). It also enables organisations to organise and analyse contract information through contract intelligence, generating reports and surfacing trends that may otherwise be difficult to identify through traditional contract management processes.
AI technologies typically involved in contract management are:
- Machine learning (ML)
- Natural language processing (NLP)
- Agentic AI
- Generative AI
- Optical Character Recognition (OCR)
AI Use Cases in Contract Management
AI in contract management helps business teams and leaders manage contracts more efficiently, minimise human error, and make better-informed decisions throughout the contract lifecycle. Here are its key use cases:
1. Data Extraction
AI extracts relevant information from existing contracts and documents using NLP and OCR, automatically populating approved templates and clause libraries to reduce manual work in contract preparation.
2. Contract Review
AI analyses contract clauses to identify potential risks and deviations from approved playbooks, explaining why provisions may need to be changed. It can also assign risk scores to flag clauses that require reviewers’ attention and suggest alternative language aligned with internal playbooks and applicable regulatory requirements.
3. Approval Routing
AI review results can trigger automated approval workflows, routing contracts to the appropriate subject-matter experts or reviewers based on risk levels, contract terms, and predefined rules. For example, contracts with noncompliant financial terms can be automatically routed to Finance for review and approval.
4. Document Search
AI-powered search helps business teams find documents by searching their metadata and content rather than relying solely on file names or folders. OCR also extracts searchable text from scanned attachments, making it easier to locate relevant agreements and information without manually browsing through files.
5. Obligation Tracking
AI identifies key dates and obligations from contract terms and surfaces them through automated notifications and alerts. This helps business teams monitor contractual commitments and take action before deadlines are missed.
6. Contract Performance and Reporting
AI analyses contract data to identify trends, patterns, and potential issues, presenting these insights through dashboards and reports. This gives teams greater visibility into contract performance, risks, and other key metrics.
7. Document Integrity and Version Control
Some AI systems can also help maintain document integrity and version control. Lexagle’s Document Guard™, for instance, links AI analysis and compliance results to the specific document version being reviewed. In this system, the updated version can be identified and flagged for reevaluation when changes are made to an agreement after review, helping ensure that changes are validated before the contract progresses.
How Does AI Improve Contract Management
AI improves contract management by helping legal and business teams work more efficiently and manage contracts more effectively. These benefits extend beyond day-to-day tasks to broader organisational outcomes.
1. Reduced Contract Risk
AI-assisted review helps legal and business teams identify risky or unusual terms early in the contract lifecycle. This allows them to address potential issues during drafting and negotiation rather than discovering them after signing.
2. Improved Contract Compliance
AI helps organisations maintain compliance throughout the contract lifecycle, from reviewing contract terms to monitoring performance. AI-powered contract review checks whether agreements align with approved playbooks before signing, while obligation tracking helps teams fulfil contractual obligations on time by identifying key commitments and deadlines and providing automated reminders.
3. Faster Contract Turnaround
AI automates tasks such as contract review, approval routing, and document retrieval, reducing the time contracts spend at each stage and shortening the overall contract lifecycle.
4. Reduced Costs and Faster Revenue Realisation
AI helps organisations reduce costs associated with penalties, remediation, and potential litigation by minimising compliance risks, disputes, and missed obligations. It can also accelerate contract turnaround and renewals, helping businesses realise revenue sooner and avoid delays during negotiation, signing, and contract performance.
5. Better Strategic Decision-Making
AI analyses contract data to identify trends, patterns, and insights that support business decisions. When connected to ERP and CRM systems, contract data can also contribute to broader business intelligence, giving leaders a more complete view of business performance.
Choosing the Right AI Approach for Contract Management
Organisations can adopt AI for contract management in different ways, depending on whether they need help with individual tasks, specialised legal work, or the broader contract lifecycle.
1. General-Purpose AI
General-purpose AI can help with individual tasks such as summarising contracts, explaining clauses, generating provisions, and extracting metadata. However, tools like ChatGPT or Gemini are not designed to manage the broader contract lifecycle. Teams may still need to use separate systems or handle tasks manually, including approval routing, signature requests, obligation tracking, document storage, and version control.
2. Specialised Contract AI
Specialised contract AI tools are designed to assist legal and business teams with contract-related tasks. Like general-purpose AI, they can summarise agreements, extract metadata, and generate provisions. However, they are optimised for legal and contractual use cases, with capabilities such as contract review, risk detection, clause analysis, and redlining.
For example, these tools can analyse agreements against predefined playbooks, identify potentially risky provisions, and suggest alternative language that aligns with internal requirements. However, they typically focus on specific parts of the contract process rather than managing the entire lifecycle. Teams may still need separate solutions for contract storage, approvals, version control, and obligation tracking, although some specialised tools integrate with existing contract management systems.
3. AI-Powered Contract Management Solutions
AI-powered contract management solutions combine AI capabilities with tools for managing the broader contract lifecycle. In addition to supporting contract drafting, review, clause analysis, risk detection, and metadata extraction, they integrate AI into workflows for approvals, negotiations, e-signatures, storage, version control, and obligation tracking.
This allows teams to apply AI across the contract lifecycle, from creation through performance, rather than limiting its use to individual tasks. For example, AI can extract key terms and obligations to populate contract records and trigger reminders for important dates. It can also assess clauses against predefined criteria, assign risk scores, and route contracts to the appropriate reviewers.
For organisations looking to apply AI beyond individual contract tasks, AI-powered contract management software brings AI capabilities and contract workflows together in one platform, helping teams manage agreements throughout their lifecycle.
Experience AI Across Your Contract Lifecycle
From extracting contract data and reviewing clauses to routing approvals, tracking obligations, and maintaining document integrity, Lexagle’s Document Guard™ can support teams throughout the contract lifecycle.
