The future of
Contract Management

AI use cases

By 2027, half of all procurement contract management will be AI-enabled.

Gartner predicts half of procurement contract management will be AI
Gartner press release 08.05.24

Disclaimer: This ebook outlines our general product direction with AI and automation. This is not a detailed specification. AI use cases or features may be added, removed, amended, or deprioritized based on market dynamics and customer feedback. This information should not be solely relied upon in making a purchasing decision.

From manual handling to intelligent
contract operations

Proven capabilities ready today

A strong contract management foundation built on a centralized, compliant system of record with full visibility, governance, and seamless continuity from sourcing to execution.

How AI takes it further

AI turns contract management from reactive oversight into proactive intelligence. It captures data automatically, summarizes key terms, sends prompt alerts, and speeds up execution. The payoff: faster decisions, lower risk, better accuracy, and your team focused on strategy instead of admin work.

^{Contract Management: Use cases}

Use case	Today’s pain	AI-delivered value
Capturing and recording contract metadata	Manually entering contract details and metadata is time-consuming and error-prone, especially at volume. Every mistake risks costly delays or compliance issues.	AI-powered data extraction automatically pulls key metadata information (like title, parties, payment terms, and dates) from contract documents. Your team gets faster, more accurate contract records and more time for strategic work.
Keeping contract records up-to-date	After negotiations or redefining, keeping contract records up to date can be tedious with increased risk of outdated or inconsistent records, putting your business at risk.	AI automatically updates contract records after every change, keeping data accurate and consistent without manual effort. Your team stays compliant and audit-ready at all times.
Intelligent data search across contracts	Centrally stored contracts remain difficult to understand and use. Key obligations, risks, and rights are hidden in complex legal language, limiting visibility, especially across multiple contracts. Keyword search terms fail to capture meaning and context, leading to missed renewals, contractual exposure, and risk-driven losses. As a result, teams rely heavily on Legal for clarity and insights.	AI transforms contracts into structured, searchable data instantly surfacing obligations, rights, and risks through natural language queries. It enables clause comparison, identifies risks and deviations, and provides answers with source references. This enables governed self service, reduces reliance on Legal, and turns static contracts into continuous, actionable intelligence.

Contract Management: Use cases continued…

Drafting and authoring contracts	Drafting contracts from scratch is slow, inconsistent, and heavily dependent on legal expertise. Errors and delays put deals at risk and increase costs.	AI suggests the right templates and clauses based on previous negotiations, making contract drafting faster and more consistent. Teams now focus on complex decisions – not repetitive drafting.
Reviewing & summarizing contracts	Reviewing lengthy contracts for approval is slow and increases the risk of missing critical terms, obligations, or hidden risks.	AI condenses complex contracts into concise easily digestible summaries — highlighting key terms, obligations, and risks. Approvals move faster, nothing gets missed, and every decision is fully informed.

See all the AI S2C modules