The Business Value of Legal AI: Why Contract Intelligence Matters Beyond Legal
Today, high-level conversations around AI are centered around measuring business impact and creating new value. Both themes surfaced during a recent Insider Media executive roundtable, which Abbas Khan, Senior Director at eBrevia joined to discuss resilience, investment and how organizations are responding to a demanding economic environment.
The discussion reflected a broader change taking place across legal technology. AI is no longer simply a way to accelerate individual legal tasks; the larger opportunity is to use AI to extract intelligence from the information businesses already have, and turn it into actionable insights for people across the organization.
As Abbas emphasized during the discussion, key questions revolve around where AI can solve meaningful problems and create value that can be clearly measured.
Contracts are one of the clearest examples.
From AI adoption to measurable value
The first wave of enterprise AI adoption was understandably focused on experimentation and efficiency: Could AI accelerate research? Could it automate repetitive work? While such capabilities remain important, as AI becomes embedded across organizations the standard for success is changing.
Legal teams are under pressure to demonstrate that technology investments do more than introduce another tool or subscription. They need to show how AI improves outcomes like reducing time spent on routine work, increasing capacity, identifying risk earlier, improving decision-making or enabling the business to move faster.
That makes the distinction between AI capability and AI value increasingly important.
An organization can have access to powerful AI and still struggle to generate meaningful returns from it. The technology may be capable of analyzing information, but if that information remains disconnected from the workflows, systems and decisions that matter, much of the potential value remains theoretical.
For Abbas, that is where the conversation needs to move next: away from AI as a collection of capabilities and toward AI as an infrastructure for better decision-making. Contract intelligence provides a clear example of what that can look like.
Contracts are an underused source of business intelligence
For most organizations, contracts represent one of the richest sources of structured and unstructured business information.
They contain the terms that govern relationships with customers, suppliers, partners, employees and other stakeholders. They establish financial commitments, define rights and obligations, set out commercial terms and create risks and opportunities that can affect the business long after a contract has been signed.
Yet historically, accessing that information has often required people to read documents individually, search repositories manually or rely on institutional knowledge. That’s not a scalable model.
Consider a company with thousands of agreements spread across different business units and repositories. Questions that sound straightforward, such as, “Which contracts contain a particular change-of-control provision? Which agreements have upcoming renewal obligations? Where are we accepting unusual liability terms?” can quickly become a substantial research exercise.
AI makes it possible to treat contracts as a source of business intelligence, which extends contracts’ reach far beyond legal.
The value of contract intelligence extends beyond Legal
Legal is often the natural starting point for contract AI because legal teams are responsible for negotiating, reviewing and managing agreements, but the information contained in those agreements does not stop being relevant once Legal has finished its work.
For example:
A pricing provision can affect Finance.
A supplier obligation can affect Procurement.
A renewal date can affect Operations.
A customer commitment can affect Sales.
A regulatory requirement can affect Compliance.
A change-of-control provision can become critical to Corporate Development or an M&A team.
The contract may sit within Legal, but the business consequences of the contract extend across the organization. Rather than using AI solely to make lawyers more efficient, organizations can use contract intelligence to make information that has historically been trapped inside legal documents more accessible to the people who need it.
That was a particularly relevant point in the Insider Media discussion. In an environment where businesses are being asked to do more with existing resources, the value of technology increasingly depends on whether it can help an organization make better use of information it already owns.
The opportunity is to understand the business through its contracts.
Turning contract review into contract intelligence
eBrevia has been applying AI to contract analysis since 2011, well before generative AI transformed the broader technology conversation. Today, eBrevia's platform combines AI-powered contract analysis with gen AI capabilities to help organizations extract, understand and act on information contained in their agreements.
For legal teams, that can mean accelerating high-volume contract review, diligence and analysis while giving teams greater visibility across a contract portfolio.
Contract Analyzer, for example, helps teams analyze large volumes of contracts and extract the provisions and information relevant to a particular business question or review.
eBrevia Lens brings generative AI capabilities to contract analysis, enabling users to ask questions of their contracts and investigate information in a more flexible way.
DraftPro applies AI to drafting and negotiation, helping legal professionals work with their own playbooks and preferred positions directly within Microsoft Word.
And through eBrevia Connect, contract intelligence can be connected to the systems and workflows where business information already lives, helping organizations avoid creating another isolated technology silo.
AI should fit the business, not create another silo
Adding another application to the technology stack is relatively easy, but making an application part of daily workflows poses challenges. If contract intelligence requires users to leave their existing systems, manually transfer information and then figure out what to do with the result, potential efficiencies are lost.
Integration matters because business processes do not happen in isolation: Legal works with Finance. Finance works with Procurement. Procurement works with Operations. Sales works with Legal. Corporate Development works across all of them.
The information in contracts can move through those same relationships.
eBrevia Connect is designed around this reality, providing integrations with more than 2,000 applications and systems so that contract intelligence can become part of existing workflows rather than another destination.
For Abbas, this practical dimension is central to the AI conversation. The goal is not to add more technology for its own sake. It is to make technology useful within the way a business already operates.
The goal is not to add more AI. It’s to make the business smarter.
Resilience requires visibility
The connection between contract intelligence and business resilience may not be immediately obvious, but it is significant. Resilient organizations need visibility into their commitments, relationships and potential exposures.
A business cannot effectively manage a contractual risk it does not know exists. It cannot renegotiate a term it cannot easily identify. It cannot prepare for an upcoming obligation if that obligation is buried in thousands of documents.
AI can change the economics of that visibility.
Instead of reviewing every agreement manually, organizations can use AI to analyze contracts at scale and surface information that warrants attention. That can help answer questions such as:
Where are our greatest areas of contractual exposure?
Which agreements contain terms that could affect a transaction?
Where do we have upcoming renewals or termination rights?
How consistent are our commercial terms across customers or suppliers?
What obligations have been accepted across the contract portfolio?
Which contracts may require further legal or business review?
What information in our agreements could help another business function make a better decision?
These are business questions that happen to have answers inside legal documents. In an uncertain business environment, having those answers readily available can itself become a competitive advantage.
The next competitive advantage may be knowing what you already know
There is a tendency in the AI market to focus on the newest model, the newest agent, the newest application or the newest feature. However, for many organizations, some of the most valuable information is already sitting inside the business.
The critical problem is accessibility.
Contracts capture the rules, commitments and relationships that underpin so much of an organization's activity. Unlocking that information can create value without requiring the business to generate more data.
That is why the next phase of legal AI should be about intelligence, and what organizations can do with it.
A broader conversation about the value of AI
The Insider Media roundtable underscored that business leaders are increasingly thinking about AI through the lens of resilience, productivity, investment and competitive advantage. The discussion also underscored why the legal technology conversation needs to be part of that broader business conversation.
Legal teams sit on enormous amounts of commercially significant information. When that information becomes searchable, analyzable and actionable at scale, the benefits can extend well beyond the legal department.
That is the opportunity eBrevia sees in contract intelligence. The question is whether AI can help an organization understand what its contracts are telling it, and use that intelligence to make better decisions. For legal teams, that can mean greater efficiency and visibility, and for the wider business, it can mean better access to information about risk, obligations, relationships and opportunities.
And for organizations investing in AI, it provides a much more meaningful measure of value: not how much technology they have adopted, but what the technology enables them to do better.
Not simply faster legal work. Better business decisions.
eBrevia Featured in Insider Media
We are pleased to have eBrevia featured in Insider Media's coverage of the roundtable, with Abbas Khan contributing his perspective alongside senior business leaders discussing resilience, investment and the changing business environment.
Read the Insider Media roundtable coverage
eBrevia was also featured in the accompanying Insider Media publication.
View the Insider Media publication featuring eBrevia
Learn more about how eBrevia helps legal teams and businesses turn contracts into intelligence.
About eBrevia
Established in 2011 and trusted by some of the world’s most prestigious companies, eBrevia is a leader in AI contract analysis, review, negotiation and management with clients in the US, EMEA, and APAC. For more than a decade, eBrevia has served law firms, corporations, audit/consulting companies, and financial institutions, such as Baker McKenzie, Norton Rose Fulbright, Kroll, SAP, Intel, PwC, EY, and MUFG.
