Evisort
Evisort is an AI-native contract intelligence platform that leverages NLP and machine learning to automatically extract, analyze and manage contract terms and obligations. It was invested by Microsoft's M12 Fund and was acquired by
In-depth interpretation of Evisort’s AI contract analysis platform
Core parameters and statistics
| Parameter item | Value |
|---|---|
| Product positioning | AI native contract intelligence and contract lifecycle management (CLM) platform |
| Current status | Merged into Workday contract management and contract intelligence product line |
| Place of Residence | United States (San Mateo, CA) |
| Founded | 2016 |
| Founder | Jerry Ting and other Harvard team |
| Core Technology | NLP, Machine Learning OCR, Custom AI Model |
| Support Platform | Web, API |
| Primary language | English |
| Compliance Certification | ISO 42001 (AI Management), ISO 27001 (Information Security), ISO 27701 (Privacy Information Management) |
| Acquirer | Workday (announced in January 2024, completed in 2024) |
| Total pre-acquisition financing | Over $100 million |
| Key investors | Microsoft M12, General Catalyst, Vertex Ventures, Amity Ventures |
The core difference of Evisort is that it is an AI native contract platform - designed from the ground up to embed NLP and machine learning into the full link of contract extraction, analysis and management, rather than adding AI capabilities on top of traditional CLM. After the acquisition, the technology became the dedicated AI engine for Workday Contract Intelligence, called "Powered by Evisort AI."
User and market recognition
- Enterprise Customer Coverage: Used by multiple Fortune 500 companies, including NetApp, a storage and data management company that has saved thousands of hours and millions of dollars with Workday Contract Intelligence (powered by Evisort AI).
- Industry Recognition: Workday is recognized as a Visionary in the 2025 Gartner Contract Lifecycle Management (CLM) Magic Quadrant for its contract intelligence capabilities that are a direct legacy of Evisort AI technology.
- Investment Endorsement: Received multiple rounds of investment from Microsoft's venture capital institution M12, as well as capital injections from top VCs such as General Catalyst and Vertex Ventures, which has verified the industrial value of the technology route.
- Customer performance data: According to Workday official disclosure, customers using the platform reduce external legal expenditures by 70% on average, shorten contract execution time by 65%, a single deployment can go online in just 21 days, and can analyze 450,000 documents within 24 hours.
Cost advantage
Evisort itself is no longer priced as a standalone product, but is integrated into the overall pricing structure of the Workday contract management suite. The following breaks down the cost structure from three dimensions:
- C-side/Personal User: Personal version is not available. Evisort/Workday Contract Intelligence is for enterprise organizations and individuals cannot subscribe directly.
- Developer/API Tier: Undisclosed standalone API pricing. The Workday platform provides API interfaces for contract data integration, but it requires overall authorization from the enterprise contract and there is no public plan for billing based on usage.
- Enterprise/Private: Evisort AI capabilities are delivered through the Workday Contract Lifecycle Management (CLM) and Contract Intelligence (CI) products. Pricing is for Workday enterprise subscription model, contact sales team for quote. Subject to the Workday overall cloud service subscription agreement, there is no standalone private deployment option. Key hidden costs include implementation and integration service fees, data migration costs, and annual price increases on long-term subscription contracts. Workday will have total revenue of approximately $9.5 billion in fiscal 2026, and its AI solutions will contribute significantly incrementally to new contracts, but its enterprise-level pricing may be unaffordable for SMBs from a cost perspective.
Compared with independent CLM competitors (such as Ironclad, Icertis, DocuSign CLM), the advantage of Evisort AI is that it can connect with the native data of Workday HR, finance, procurement and other modules, reducing the hidden costs and maintenance burden of cross-system integration. The disadvantage is that it loses the flexibility and pricing transparency of standalone products.
Main functions
- AI contract extraction and clause identification: Use NLP and OCR technology to automatically extract key clauses (such as confidentiality obligations, compensation clauses, termination conditions, automatic renewal) from unstructured documents such as PDF and Word, without the need for manual preset templates. Implementation Tips: During actual deployment, a custom AI model needs to be configured to track enterprise-specific contract terms. Officials claim that model training can be completed in a few days.
- Natural Language Contract Query (Ask AI): Users can ask all contracts questions in natural language, such as "Which supplier contracts contain automatic renewal clauses?" or "Find all contracts with a compensation cap below $1 million," and the system returns an interpretable answer with a source link. This feature transforms contract data from a static archive into a conversational knowledge base.
- Obligation Tracking and Compliance Management: Automatically identify key obligations, deadlines, and renewal windows in contracts, and generate proactive reminders and dashboards to help legal and procurement teams avoid unexpected expirations, automatic renewals, or compliance violations. Acceptance focus: It is necessary to verify whether the recall rate of obligation extraction covers the key terms dimensions that the enterprise is concerned about.
- Custom AI Model: Users can create custom AI models to track any specific contract terms or business rules without writing code, adapting to the differentiated needs of different industries and organizations.
- Cross-warehouse contract synchronization: Two-way synchronization with enterprise content warehouses such as Box, SharePoint, and Salesforce, automatically identifying newly uploaded contract files and extracting structured metadata, eliminating manual data silos.
- Advanced search and configurable dashboard: Supports multi-dimensional search by term type, date range, contract party, amount, etc., and provides a real-time updated visual dashboard to facilitate management and business teams to quickly grasp the full view of the contract.
Model and version evolution
Evisort's version evolution is divided into two phases: independent product phase (2016–2024) and Workday integration phase (2024 to present):
Independent product stage
- v1 (approximately 2018–2020): The initial version focuses on contract text extraction and basic clause identification, and mainly provides contract warehousing and search capabilities for legal teams.
- v2 (approximately 2021): Introducing obligation tracking, automatic renewal reminders and batch upload functions, expanding the coverage of the AI clause library from legal affairs to procurement and financial scenarios.
- v3 (approximately 2022): Major update - Launched the natural language interactive interface "Ask AI", added configurable dashboards and advanced search, opened up enterprise content integration of Box, SharePoint, and Salesforce, allowing contract data to flow within the enterprise.
- v4 (approximately 2023): Enhance the capabilities of custom AI models, improve the accuracy of OCR for scanned and form-based contracts, and optimize the search performance of large-scale contract libraries.
Workday integration phase
- 2024R2 (approximately September 2024): As part of the Workday 2024 R2 version, the Evisort AI engine is officially launched under the brand "Workday Contract Intelligence, powered by Evisort AI" and is deeply integrated with the Workday Contract Lifecycle Management (CLM) product. This version inherits Workday’s semi-annual major version rhythm.
- 2025R1–R2 (2025): Evisort AI is further integrated with Workday’s AI Agent system (Sana) to support Agentic Legal scenarios. Workday is recognized as a CLM Magic Quadrant Visionary by Gartner.
Technical advantages
AI native architecture vs. AI add-on mode: Evisort built a contract data processing pipeline around AI from the beginning, rather than adding AI modules to traditional CLM systems. This means that contract warehousing, clause extraction, metadata indexing, search and query are all completed in the AI inference pipeline, reducing the multi-step delay of "upload - manual annotation - rule matching - warehousing" in traditional systems. Effectively, this architectural decision allows customers to intelligently transform their contract libraries in days instead of months.
Dual parsing capabilities of NLP + OCR: Evisort supports OCR parsing of native digital documents (PDF/Word) and scanned/picture contracts at the same time. Its OCR module has been specially optimized for common contract formats (headers, footers, tables, signature areas), and its clause recall rate on mixed documents is better than the general OCR solution. This is especially important for industries (e.g., manufacturing, healthcare) that need to handle a large number of physically signed contracts.
Explainable AI Query: The Ask AI feature is not a simple RAG conversation, but an inference engine based on a structured contract knowledge graph. Each answer is accompanied by a reference to the source (the location of the specific clause in the original text). In legal scenarios, this traceability is a hard compliance requirement and is also the key for AI contract tools to move from "assistant" to "trustable".
Responsible AI and Compliance Certification: Evisort/Workday Contract Intelligence has passed ISO 42001 (AI Management System), ISO 27001 (Information Security) and ISO 27701 (Privacy Information Management) triple certification, and has independent third-party endorsement in enterprise-level compliance reviews. This is a positive signal for procurement decisions in regulated industries such as finance, healthcare, and government.
Collaboration with the native data of the Workday ecosystem: After being acquired, Evisort's contract data can be naturally associated with Workday's purchase orders, supplier master data, financial accounts and HR organizational structure, realizing full-link data collection of "contract terms - procurement execution - financial payment", which is a deep integration that is difficult to achieve with independent CLM tools.
How to use
Evisort is no longer available as a standalone product, its capabilities are delivered through two Workday product portals:
- Workday Contract Lifecycle Management (CLM): For enterprise teams who need end-to-end contract management (drafting, approval, signing, performance, renewal). The entrance is the "Contract Management" module of the Workday main interface.
- Workday Contract Intelligence: For enterprises that already have a contract library but need AI analysis capabilities, the contract intelligence add-on module can be enabled through the Workday platform.
Typical activation process:
- Contact the Workday sales team to request a trial or demo of the Contract Management or Contract Intelligence product.
- The Workday implementation team completes the context configuration and tenant initialization of the Evisort AI engine.
- Connect to enterprise content warehouse (Box, SharePoint, Salesforce) or upload contract documents in batches.
- Configure a custom AI model and define key terms and business rules that need to be tracked.
- Users can use the contract search Ask AI query, obligation tracking and dashboard functions through the Workday interface.
Developers and integration scenarios can access the structured output of contract data through the Workday API for automatic triggering of business processes in downstream systems (such as ERP, CRM, and GRC platforms).
Product Pricing
Evisort AI capabilities are included as part of the Workday contract management suite and are not priced separately. Workday’s overall pricing model is as follows:
- Enterprise Subscription: Annual subscription fees are charged based on the number of employees or modules. Contract lifecycle management and contract intelligence are add-on modules that need to be purchased on top of Workday HCM or the core financial module.
- No public pricing: Workday does not disclose the detailed price list of each module to the public, and all quotations must be obtained through the sales team. Industry references show that annual subscription costs for Workday CLM modules typically range from tens to hundreds of thousands of dollars, depending on organization size and feature configuration.
- Free Credit/Trial: No free version available. Potential customers can apply for a product demonstration (Demo) through the Workday official website, but self-service trials are not provided.
- Hidden Fees: Implementation service fees (usually 1–2x the annual fee), data migration fees, integration development costs with third-party systems, and possible annual price increases (Workday’s typical annual increases are in the 5–8% range).
Price comparison with standalone CLM competitors Conclusion: If the enterprise is already a Workday HCM or financial customer, the overall cost of adding a contract management module is usually lower than purchasing a standalone CLM system (eliminating the cost of integration and data synchronization). Non-Workday customers will need to evaluate the cost of a full migration or dual-system operation.
Application scenarios
- Legal Contract Review and Risk Identification: The legal team used Ask AI to quickly retrieve indemnity clauses, confidentiality obligations, termination conditions and renewal windows in thousands of contracts, compressing the contract review cycle from weeks to hours. Typical tasks: Contract clause extraction in M&A due diligence, annual contract compliance audit, supplier contract risk assessment.
- Procurement and Supplier Management: Procurement uses obligation tracking to monitor SLA fulfillment, price adjustment terms, and renewal expirations of supplier contracts to proactively manage compliance risks and cost optimization opportunities across the procurement contract portfolio. Workday data shows that clients reduce external legal spend by 70% on average in this scenario.
- Finance and Revenue Recognition: The finance team automatically identifies payment terms, discount conditions, and performance obligations related to revenue recognition through contract intelligence, ensuring that revenue recording complies with accounting standards such as ASC 606, and reducing the rework cost of manually reviewing contracts.
- Sales Contract Acceleration: The sales team uses AI-assisted clause compliance checks in the drafting and approval process to ensure the use of standard clauses and compliance approval of special clauses, shortening the time from contract drafting to signing. According to Workday, contract execution time is reduced by an average of 65%.
- Compliance and Audit Response: When the compliance team faces regulatory inspections or internal audits, it can quickly locate relevant contract terms through the cross-database search and filtering functions of Contract Intelligence, shortening the response time from days to minutes.
Applicable people
- Corporate Legal Team: The core beneficiaries—high-frequency scenarios such as contract review, clause extraction, obligation tracking, and compliance auditing are highly matched with AI capabilities. Unsuitable Boundary: Scenarios that require highly customized litigation strategies or complex legal reasoning (such as legal memorandum writing, litigation strategy suggestions) are not within the scope of Evisort's capabilities and need to be used with general legal AI tools.
- Purchasing and Supply Chain Managers: Contract renewal reminders, supplier terms comparison, price adjustment tracking and other functions directly replace manual spreadsheet management. Prerequisite: The procurement process must be standardized and connected to Workday or content warehouse, otherwise the establishment of the data portal itself will cause upfront workload.
- Finance and Accounting Team: Structured extraction of revenue recognition, payment terms and performance obligations significantly improves financial compliance and audit efficiency. Not suitable for boundaries: If the enterprise's financial system is not within the Workday ecosystem, the financial mapping of contract data requires additional integrated development.
- Sales Operations Team: Accelerate the contract approval process and ensure compliance with terms. Unsuitable Boundary: High-value/highly customized customer contracts still require legal review one by one, and AI assistance cannot completely replace human judgment.
- Not suitable for the crowd: small and medium-sized enterprises (teams with less than a thousand annual contracts cannot cover deployment and subscription costs); enterprises with mainly non-English contracts (the main optimized language of Evisort/Workday contract intelligence is English, and multi-lingual support is subject to the official real-time page); organizations that have mature non-Workday enterprise systems and have no intention of migrating.
Summary and Outlook
Evisort started with AI contract analysis in 2016 and was acquired by Workday and became the core AI engine of its contract management product line. It has completely experienced the most typical path of "technological innovation - capital support - integration of giants" in the field of AI legal technology. Its greatest value lies in the verification of the product line of "AI native contract management" - from contract warehousing to clause extraction to intelligent query, the entire process is driven by the AI pipeline, rather than the functional patching of traditional CLM.
After being acquired by Workday, Evisort gained broader enterprise distribution channels and a more complete data ecosystem (connected with HR, finance, and procurement), but it also lost the market visibility and price flexibility of independent products. For organizations that are already Workday customers, Evisort AI is a natural contract management upgrade path; for non-Workday customers, the evaluation needs to carefully calculate the price/performance ratio between the overall migration cost and access to AI contract intelligence.
Current limitations and uncertainties: The independent Evisort product has stopped new user registration, and all new customers must be acquired through Workday channels; the multi-lingual support scope of Workday contract intelligence (especially the processing capabilities of non-Latin language contracts such as Chinese and Japanese) has not been disclosed in detail; the actual recall rate of AI clause extraction on highly non-standard contracts (such as physical contracts with numerous manual modifications) varies depending on the customer contract library. It is recommended to conduct PoC (proof of concept) testing before purchasing.
Procurement/Adoption Risk Assessment: For enterprises that have deployed Workday HCM or financial modules, adding a contract management module is a low-risk, high-synergy-value decision. The focus is to confirm whether the AI model configuration of the contract intelligence module can cover the specific clause types of the industry. For non-Workday customers, the decision will be a trade-off between migrating to Workday for AI contract intelligence and choosing a standalone CLM option - the former to gain deep integration and the latter to retain vendor flexibility. It is recommended to first evaluate the actual clause extraction accuracy of contract intelligence through Workday's free demo before deciding whether to launch a full deployment.
Related tools: notion-ai, google-workspace
Version Info
- Workday Contract Intelligence (Powered by Evisort AI) ：After being acquired by Workday, the Evisort AI engine was fully integrated into Workday's contract management and contract intelligence product line. It will be released with the Workday 2024 R2 version in September 2024. There is no official precise date yet.
- Evisort Platform v4 ：Enhance AI contract analysis capabilities, expand custom AI model functions, and improve OCR accuracy. There is no official precise date yet.
- Evisort Platform v3 ：Introducing a natural language query interface (Ask AI), adding dashboards and advanced search functions, and supporting integration with Box, SharePoint, and Salesforce. There is no official precise date yet.
- Evisort Platform v2 ：Launched contract obligation tracking and automatic renewal reminder functions, expanded the AI clause library, and supported batch uploading. There is no official precise date yet.
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