Evisort - AI for Contract Lifecycle Management.

There are a growing number of great use-cases for using AI in a business - and Evisort remains one of the clearest examples in the Contract Lifecycle Management space, even though the company no longer trades under its own name. Managing contracts efficiently and effectively is crucial for ensuring compliance, mitigating risks, and driving operational success, and Evisort's AI-native approach to contract intelligence - now delivered through Workday Contract Intelligence and Workday CLM - continues to address exactly that challenge. In this blog post, we explore who Evisort is, what they do, and how their AI-driven technology, now fully embedded within Workday, transforms contract management for businesses worldwide.

Who is Evisort?

Evisort was a provider of contract lifecycle management (CLM) and contract intelligence software, founded in 2016 by a team of Harvard Law and MIT graduates. The company was established to address a problem that almost every large organisation faces: how to understand, track, and manage the thousands of contracts that underpin supplier relationships, customer engagements, employee agreements, and compliance obligations.

From the outset, Evisort focused on using artificial intelligence to interpret and analyse contract data, setting itself apart from more traditional contract management systems that simply digitised storage and workflows. This emphasis on intelligence quickly gained traction with legal, procurement, and finance leaders who needed greater visibility into the commitments buried across their organisation's contract estate.

Evisort raised more than $150 million in venture funding before being acquired by Workday in September 2024. Workday, a major global provider of cloud applications for HR, finance, and enterprise operations, has since fully integrated Evisort's technology into its platform. Rather than operating as a standalone product, Evisort's AI engine now underpins two Workday offerings - Workday Contract Intelligence and Workday Contract Lifecycle Management (CLM) - both marketed as “powered by Evisort AI”. The Evisort brand persists as the AI engine behind these products rather than as a product buyers evaluate in its own right.

That integration is now complete rather than in progress. Workday CLM was recognised as a Visionary in the 2025 Gartner Magic Quadrant for Contract Lifecycle Management, and the underlying Evisort AI engine holds an accredited ISO 42001 certification for responsible AI - a distinction it achieved before the acquisition and one that Workday has carried forward.

Evisort's technology now sits at the intersection of legal technology, procurement, and enterprise automation, delivered through the Workday platform. It is used by organisations across a wide range of sectors to improve visibility into contractual obligations, reduce legal risk, and accelerate business decisions.

What does Evisort's software do?

Workday CLM and Workday Contract Intelligence, powered by Evisort AI, are designed to manage the entire lifecycle of a contract, from creation and negotiation through to execution, renewal, and compliance monitoring. At the heart of the platform is a cloud-based repository that centralises every contract in a single system - still valuable for organisations that typically have contracts scattered across shared drives, procurement systems, and email archives.

What differentiates the platform is how it interprets and makes sense of those contracts. The underlying Evisort AI models, trained on millions of legal documents, automatically identify key clauses, terms, and obligations. Instead of requiring legal teams to manually review documents, the software surfaces critical information immediately, and users can search contracts by clause type, renewal date, or counterparty. A newer ‘Ask AI’ conversational experience takes this further, letting users ask questions about their contracts in natural language and get direct answers rather than having to search and interpret clauses themselves.

Beyond analysis, the platform manages workflows. Contracts can be drafted, negotiated, approved, and routed for signature through configurable processes that align with company policies, and a Contract Negotiation Agent now applies agentic AI to speed up redlining and negotiation steps that previously required manual back-and-forth. Dashboards give leadership teams visibility into contract status, bottlenecks, and renewal pipelines.

Through native Workday integration, these insights connect directly into Workday Finance, Workday HCM, and procurement workflows, allowing contract intelligence to trigger downstream business processes automatically. The platform also syncs contracts across external repositories including Box, SharePoint, and Salesforce, and a dedicated Salesforce connector now brings contract intelligence directly into the CRM for sales teams.

In short, the Evisort AI engine, now delivered through Workday, continues to transform contracts from static legal documents into dynamic sources of intelligence that drive decisions across the enterprise.

Take a look at our 'What is Contract Lifecycle Management Software' blog to learn more about the category.

What problems does Evisort solve for businesses?

Contracts are fundamental to every business relationship, yet they are often among the least accessible and least understood sources of information. It is not uncommon for global enterprises to have tens of thousands of active contracts stored in different repositories, formats, and geographies. In many cases, organisations cannot answer simple but critical questions such as:

•        What are our total obligations to suppliers in the next 12 months?

•        Which contracts are about to auto-renew, and on what terms?

•        Do any of our customer agreements expose us to compliance risk?

This lack of visibility creates risk, slows down decision-making, and consumes significant time for legal and procurement teams.

Workday CLM and Workday Contract Intelligence address these challenges directly. By bringing contracts into one system and applying Evisort's AI-driven analysis, the platform provides a clear and searchable view of the organisation's contractual landscape. Legal teams benefit from faster reviews and reduced manual workload. Procurement functions gain the ability to track supplier obligations and identify opportunities to renegotiate terms. Finance leaders get more accurate visibility into liabilities, revenue recognition, and upcoming commitments. Compliance teams gain an auditable record of obligations and risks.

The broader organisational value lies in speed and confidence. With reliable contract data, businesses can negotiate better deals, avoid missed renewals, ensure compliance with regulations, and make more informed strategic decisions - and real customer results now back this up. One large healthcare provider used Workday CLM to cut contract turnaround from days to hours and simplify audits, while a fast-growing energy company used it to reduce a two-person contracting team's manual workload by 80 percent and cut review times by 83 percent.

How does Evisort use technology or innovation to deliver value?

Evisort was widely recognised as one of the first CLM vendors to adopt an AI-first approach, and that heritage now underpins Workday's own CLM technology. From its inception, the company built its platform around machine learning models trained to read and understand contracts, and these models can identify more than 230 different clause types out of the box, including payment terms, indemnification clauses, confidentiality provisions, and renewal dates.

This means organisations do not need to spend months training the system before it delivers value. From the moment contracts are uploaded, the AI begins extracting key data and organising it in a structured format.

Since joining Workday, the underlying technology has continued to develop rather than stand still. Newer capabilities include:

Ask AI - a conversational interface that lets users ask natural language questions about their contracts and get direct answers.

Contract Negotiation Agent - agentic AI that assists with redlining, negotiation, and approval steps.

Custom AI Model Library - launched in late 2025, this extends contract intelligence beyond legal teams, letting other departments build and reuse custom models to track the data points that matter to them.

No-code workflows - business teams can configure approval processes and dashboards without technical expertise.

Extensive integrations - native connections to Workday Finance and HCM, plus Salesforce, SAP Ariba, Microsoft 365, Google Workspace, Box, and SharePoint.

The innovation lies in how these capabilities come together. By combining intelligence, usability, and integration, the Evisort AI engine has helped create a platform that is not only legally sophisticated but also accessible to business leaders across functions - and Workday's ownership has accelerated the pace of new feature releases rather than slowed it.

Which industries and business functions use Evisort?

Workday CLM's customer base spans multiple industries, reflecting the universal challenge of contract management.

In financial services, firms use the platform to track complex lending agreements, supplier relationships, and regulatory compliance. The ability to quickly identify clauses relating to risk, liability, or renewal is particularly valuable in a heavily regulated industry.

In healthcare and life sciences, it is used to manage supplier contracts, research agreements, and compliance with privacy and regulatory standards - reflected in one customer example, a healthcare provider that cut contract turnaround from days to hours.

In the technology sector, companies rely on the platform to manage SaaS agreements, licensing deals, and partnerships. Fast-growing firms in particular value the ability to centralise and analyse their contracts without building large in-house legal teams.

In manufacturing and energy, it supports procurement and supplier management, helping companies track obligations across global supply chains and avoid costly disruptions - reflected in the energy sector example of an 80 percent reduction in manual contracting workload.

Within organisations, the platform is used by a wide range of business functions. Legal departments are typically the primary owners, but procurement, finance, IT, and compliance teams all benefit from having a single source of contract truth - and the Custom AI Model Library is specifically designed to extend that value beyond legal into other departments.

Who are Evisort's customers?

Workday CLM's customer base ranges from fast-growing mid-sized companies to some of the world's largest enterprises, carrying forward the customer relationships Evisort built before the acquisition. Publicly referenced clients include Microsoft, Bayer, and Keller Williams, alongside customer examples highlighted by Workday itself from the healthcare and energy sectors. These companies use the platform to manage global contract estates that would otherwise be unmanageable using manual processes or fragmented systems.

Customer examples illustrate the value:

• A large healthcare provider used Workday CLM to cut contract turnaround from days to hours, simplify audits, and bring contract dashboards directly into board reports.

• A fast-growing energy company used Workday CLM to reduce a two-person contracting team's manual workload by 80 percent and cut review times by 83 percent, without adding headcount.

• A Fortune 500 technology firm adopted the platform to centralise its SaaS and vendor contracts, enabling IT and procurement teams to monitor spend and compliance more effectively.

These examples demonstrate the platform's flexibility: it can support highly regulated industries with strict compliance needs as well as fast-moving companies that prioritise speed and scalability.

What makes Evisort different?

Many contract management systems focus on digitising workflows and providing a central repository. The Evisort AI engine behind Workday CLM takes a different approach by positioning the platform as a contract intelligence system rather than an electronic filing cabinet. Its AI-first design enables organisations not only to store contracts but also to understand and act on them.

This is important for buyers, particularly as the CLM market has consolidated in recent years - several established CLM vendors are now owned by private equity firms or folded into larger platforms, and Workday's backing gives this technology a stability and scale that few pure-play CLM vendors can match. Traditional systems can often become little more than electronic filing cabinets, requiring significant manual input to deliver value. This platform, by contrast, reduces manual work from the start and provides insights that directly inform business decisions.

Other differentiators include rapid time-to-value, no-code configuration, and scalability. Customers report being able to go live in weeks rather than months, with immediate access to searchable contract data.

To learn about the different options in the CLM space, take a look at our Contract Lifecycle Management Software Options report.

What does the future look like for Evisort?

The market for contract lifecycle management and contract intelligence continues to grow, driven by digital transformation, compliance requirements, and the need for operational efficiency - and 2026 industry benchmarking shows agentic AI has moved from an emerging trend to a baseline buyer expectation across the category.

For the technology behind Evisort, Workday's ownership has already delivered on much of what was originally expected from the acquisition. The Custom AI Model Library and Contract Negotiation Agent both reflect deeper integration between contract intelligence and Workday's core HR and finance systems, and the 2025 Gartner Magic Quadrant Visionary placement confirms the roadmap is being recognised externally as well as internally.

Looking ahead, further development is likely to focus on deeper agentic capability - moving from clause extraction and negotiation assistance toward more autonomous handling of routine contract decisions - and continued extension of contract intelligence beyond legal and finance into procurement and supplier management more broadly. Given Evisort's AI-first heritage and the resources of its parent company, the technology remains well placed to benefit from these trends.

How can businesses get started with Evisort?

Workday CLM and Workday Contract Intelligence continue to be available to new customers, and organisations already using Workday will see faster time-to-value thanks to the native platform integrations built since the acquisition.

The platform offers a cloud-based deployment model, allowing businesses to get started quickly. Many organisations begin with a pilot project focused on centralising contracts in one function, such as procurement or legal. Once value is demonstrated, the platform can be expanded to other departments and geographies.

The implementation process is designed to minimise disruption. Contracts are uploaded into the repository, where the AI immediately begins extracting data. Workflows and dashboards can be configured by business users, reducing reliance on IT. Workday also offers professional services and customer support to guide organisations through adoption - though it is worth noting that some customers report a genuine training investment is still required to get custom AI models tuned to their specific contract language, so budgeting time for that step is worthwhile.

For most enterprises, the journey begins with a need for greater contract visibility. From there, adoption expands to managing the full contract lifecycle and embedding contract intelligence into business decision-making.

Analyst view: Why should buyers care about Evisort?

The technology behind Evisort represents the new generation of contract management platforms, now delivered with the backing and stability of a major enterprise software vendor. Its focus on intelligence over storage, speed over complexity, and usability over custom coding makes it an attractive option for organisations that want tangible results quickly.

For buyers, the platform is particularly relevant if:

• Your organisation struggles with contract visibility across multiple systems.

• You want to reduce the manual workload on legal and procurement teams.

• You need faster, more accurate insights into obligations, risks, and renewals.

• You value an AI-driven approach that delivers immediate results, backed by a vendor with the scale to keep investing in the roadmap.

• You are already a Workday customer and want contract intelligence connected directly into your existing HR and finance data.

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Backed by Workday and recognised as a Visionary in the 2025 Gartner Magic Quadrant for CLM, the technology behind Evisort has both the innovation and the stability to support enterprise customers for the long term. For organisations evaluating CLM solutions, Workday CLM - powered by Evisort AI - should be considered a strong candidate and a benchmark for what an AI-first platform can deliver, particularly for organisations already invested in the Workday ecosystem.

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Finding new legal-tech

One new piece of technology can transform a business or a department - Legal Tech is no different. New and innovative technology is hitting the market on a regular basis - and this is only accelerating with the advent of agentic AI.

If you are interested in Workday CLM, powered by Evisort AI, or would like to look at the other options available in the marketplace, why not take a look at the Viewpoint Analysis Matchmaker Service? We are the leading Technology Matchmakers and our Matchmaker Service sees us write up your challenge, issue it to the vendors that can help, and arrange a series of briefing sessions where you and your team can simply sit back and listen to how the different vendors can help.

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Learn more about CLM in our What is Contract Lifecycle Management blog.

Check out our Enterprise Software Selection Playbook for 2026 to learn more about finding and selecting new technology.