Behind every organisation too often lies a mass of neglected and underutilised agreements. Far from harmless paperwork, these dormant agreements can quietly accumulate operational risk, financial exposure and lost commercial advantage. These files represent a quiet liability, hidden dark matter of the enterprise landscape. But when effort is made to understand and put them to use, the outcome can be a state of enhanced business information, contextually driven insight, and ability to execute
The scale of the opportunity is measurable: unlocking the value trapped in business agreements represents an estimated £1.4 trillion potential annual uplift to the global economy according to Deloitte in the report ‘Unlocking the Value of Agreement Management’.
Legacy agreements and business documents are often unstructured, untracked and effectively invisible once signed – generally filed and never looked at again, barring a negative supplier or legal event. Yet inside them are swathes of dormant obligations, forgotten clauses, and potential commercial value. Crucial renewal deadlines can easily slip by, unfavourable terms can go unchallenged, and compliance gaps can multiply because no one knows what’s buried where. This results in inefficiency as well as erosion of margins, customer trust, supplier management, and competitive edge.
Agreements should represent the lifeblood of any organisation. As AI value is realised across enterprise operations, they hold the potential to become strategic data to unlock smarter operations. It’s time to treat these assets as the building blocks of a more effective decision-making business.
From static to strategic
Traditional contract lifecycle management tools have focused on creation, signature and storage. But that’s only a fraction of the journey. Agreements contain insights that are crucial for governance, compliance, cash flow, and commercial negotiation if a business can access and interpret them.
Machine learning models can parse the language of contracts with surprising fluency, surfacing obligations, identifying anomalies, and flagging risks before they turn into financial or legal issues. AI-powered tools can summarise long-form legal text, track clauses across jurisdictions, and detect deviations from preferred terms. Working smarter stops humans failing to look, overlooking clues, or making mistakes. What once sat in archives as dormant liabilities can now be converted into real-time commercial intelligence if organisations have the tools to read them.
Deloitte’s and Docusign’s research shows that inefficient agreement processes and systems cost the global economy $2tn (£420bn) annually. In the UK, companies are wasting up to 13 hours per employee each week on low-value tasks, many of which are tied to outdated or inefficient agreement workflows.
Failure to extract value from historical contracts leaves money on the table. A supplier discount clause was never triggered. An auto-renewal inflated costs. A termination right could have initiated a renegotiation. The cost of inaction is no longer hidden.
Moreover, for organisations facing increased regulatory pressure, legacy contracts may expose compliance gaps or conflicting terms that undermine risk frameworks. AI’s ability to map, analyse, and reconcile these documents offers a scalable path to audit readiness and operational resilience while reducing team burnout or honest mistakes causing issues later.
Productivity paradox: why investment alone isn’t enough
The UK continues to find itself in a productivity paradox. Despite increased digital investment, that’s not uniformly translating to improved productivity. Time spent on manual tasks is also rising. Legacy agreement processes are a key contributor. Whether paper-based, email-led or PDF-bound, business workflows can generally lack transparency, create bottlenecks, and prevent the real enterprise agility they promised.
To move forward, firms must break from the assumption that contract management and all the rich data they constrain are a back-office concern. Agreements should be viewed as live assets – continuously generating data, enabling faster decisions and smarter strategies.
Adopting AI in contract workflows and elsewhere in decision-making is not really a technical upgrade as much as a cultural and procedural change. Legal, procurement and commercial teams with transparency into how AI analyses, scores or suggests contractual terms and other recommendations will be more likely to adopt them with confidence. That relies on asking tough questions of suppliers on data protection, sovereignty, regulatory compliance, and the models behind the magic. For example, how training ensures fairness, what tests have been run to check that biases have been eliminated, and how customer organisations can check algorithmically generated results for consistency.
AI already excels in tasks adjacent to writing contracts, such as flagging deviation from standards, visualising contractual risk, and speeding up review cycles for procurement, HR, and legal teams. Used responsibly, intelligent agreement management augments these professionals, freeing them to focus on higher-value work like strategy, negotiation, or relationship building.
Turn dark matter into glowing insight
The solution doesn’t require a transformation programme. A few steps can convert contract ‘dark matter’ into usable intelligence.
First off, audit the existing agreement ‘estate’ and identify dormant, high-risk or high-value documents. Then, leverage AI tools to extract structured data from the legacy contracts and use the outputs to map obligations and renewal cycles into existing financial and operational systems.
Start to add greater resilience by building feedback loops from contract analysis processes into vendor management and revenue operations workflows and systems. Then, contract intelligence is embedded into decision-making across the enterprise in a continuous virtuous and repeating cycle, with the AI tools tracking, surfacing, reminding, and optimising the legwork aspect of the whole lifecycle.
The rewards are tangible, as Deloitte’s research uncovered: lower operating costs, faster deal cycles and reduced exposure to risk. As AI models mature, the early and careful adopters of intelligent agreement management workflows will likely gain structural advantage.
Agreements and contracts have a venerable history as static, legal necessities, from clay tablets to PDFs. Now, with further digital advantages and AI, they can evolve into dynamic levers of business performance, part of the agile leader’s toolkit.
