Find critical issues in your contracts before they cost you money.
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Contract analytics software is a technology solution that uses artificial intelligence and machine learning to automatically extract, analyze, and report on data within contracts. It transforms unstructured contract text into structured, actionable insights that help organizations manage risk, improve compliance, and optimize contract performance.
Paste your contract text below to extract key terms and information
Analyzing contract…
Turn contracts from static files to strategic assets
Pima Community College relies heavily on grants and contracts—representing 20% of its annual operating budget—to fund vital programs and support its students. Before implementing Concord’s contract analytics platform, PCC faced significant challenges:
After adopting Concord’s contract analytics platform, PCC experienced:
“Concord gives us the ability to have discussions right in the platform. And it sends out emails so everybody stays in the loop. We can finally see the entire contract lifecycle at a glance.” — Julie Dell’Aglio, Executive Director for Sponsored Programs, Grants and Contracts at PCC
With 5,000 employees across 15 regional divisions, Yates Construction manages numerous large-scale projects, each involving a multitude of agreements with subcontractors and vendors. Their decentralized, manual approach to contract management created significant administrative burden and limited visibility into contract data.
After implementing an AI-powered contract analytics solution, Yates experienced:
Jenny McMullen, Corporate Contract Administrator at Yates Construction, highlights the impact: “A lot of subcontractors refuse to go to work until they have a signed contract, so Concord gets our projects moving much faster.”
Contract ownership is evolving beyond the legal department. A comprehensive survey of finance and operations leaders revealed that 100% of respondents noted that contract management is becoming a cross-functional imperative. CFOs, finance heads, operations managers, and procurement specialists are all taking greater ownership of the contract process.
As Nikos Anthopoulos, Efficiency Manager at Navarino, explains: “I’m under the office of the CEO. My role is to help processes and software run faster.” This statement captures the strategic importance that organizations now place on contract efficiency.
Modern contract analytics platforms go far beyond basic document storage. They employ sophisticated AI technologies to automate data extraction, analyze contractual language, identify risks, and provide actionable insights that support strategic decision-making.
Advanced contract analytics software leverages natural language processing (NLP) and machine learning to automatically extract key information from agreements, including:
Michael Bearman, Chief Legal & Safety Officer at Vecna Robotics, highlights the transformative impact of this automation: “I used to have to spend lots of time on this, but now I just hit ‘create document’ because the AI does a great job automatically. Before we’d make errors like missing key dates or transposing numbers, which caused problems down the line. Now, with Concord, that information is automatically captured and validated, so we can trust its accuracy.”
The lack of real-time visibility into contract data is a major pain point for organizations. In a 2024 survey, 100% of finance and operations leaders highlighted this issue as a significant challenge.
As Gaia Olcese, Procurement Manager at Satispay, notes: “Better visibility would be amazing. We have more than 12,000 contracts, and their data is not sorted.” This inability to quickly find and analyze contract data hinders proactive management, creates inefficiencies, and exposes organizations to unnecessary financial risk.
Modern contract analytics platforms address this through:
Effective renewal management represents a significant opportunity for cost savings. Research indicates that 88% of organizations struggle with managing contract renewals effectively, often missing opportunities to renegotiate terms or accidentally allowing unfavorable agreements to auto-renew.
David Morgan, CFO at Loop Returns, articulates this challenge succinctly: “We’ve passed an auto renewal cut off date, and now we’re locked in.” This highlights the financial repercussions of delayed decision-making.
Advanced contract analytics platforms address this through:
Artificial intelligence is dramatically reshaping contract analysis, offering unprecedented efficiency and insights. A comprehensive market analysis found that 88% of finance and operations leaders recognize AI’s transformative potential, while acknowledging the need for careful implementation and human oversight.
AI’s current capabilities in contract analysis include:
However, AI in contract analytics also has important limitations:
| Capability | Current State | Limitations |
|---|---|---|
| Data extraction | Highly effective for structured data and standard clauses | May miss nuanced or unusual provisions |
| Risk assessment | Can identify common risk factors and flag for review | Cannot fully assess contextual or business risks |
| Compliance monitoring | Effective for explicit regulatory requirements | Limited understanding of complex regulatory landscapes |
| Contract drafting | Can generate standard clauses and templates | Limited creativity for complex negotiations |
| Negotiation guidance | Can provide historical data on negotiation outcomes | Cannot fully replace human judgment and relationship management |
As Pepe Carr, General Counsel at Sand Technologies, observes: “If your learning model can raise their hand and say, ‘I don’t know what this is, please take a look,’ then you are off to reduce legal headcount.” This highlights the value of “human-in-the-loop” systems, where AI assists legal professionals by flagging potential issues for review rather than making final decisions autonomously.
Tammy Carroll, Contract and Strategy Manager at OneCare Vermont, reinforces this perspective: “You still need a human.” This reflects the understanding that AI should be seen as a tool to augment, not replace, human judgment.
As natural language processing and machine learning continue to advance, we can expect to see AI contract analytics expand in several directions:
The concept of a “single source of truth” for contract data is a powerful ideal. However, a survey revealed that 75% of finance and operations leaders acknowledge that achieving this ideal is more complex than it seems. Data silos, where contract information is scattered across ERPs, CRMs, specialized tools, and even email inboxes, are the primary obstacle.
David Morgan, CFO at Loop Returns, describes how his billing team often has to “crack open the PDF” because not all contract information syncs with their billing system. This reliance on unstructured data highlights the inefficiency and potential for errors inherent in manual reconciliation.
Modern contract analytics platforms address this challenge through robust integration capabilities. Research indicates that 75% of organizations consider seamless integrations between contract lifecycle management systems and other core business applications to be essential.
Christopher Tufts, FP&A Manager at Iterable, emphasizes this point: “An integrated CLM is important so we can serve all our principal audiences from the same system.”
Effective integrations should include:
Successfully implementing contract analytics requires a strategic, phased approach that balances quick wins with long-term transformation. Based on insights from finance and operations leaders across various industries, here is a recommended implementation roadmap:
When evaluating contract analytics solutions, organizations should consider:
Concord’s Agreement Intelligence platform stands out in the contract analytics market through its:
As Jamie Garfield, VP of Sales at PAAY, observes: “Concord has just been great for us. We adore the AI features. There’s no other contract platform that delivers this much value at this price point. Period.”
| Feature | Concord | DocuSign CLM | Ironclad |
|---|---|---|---|
| Starting Price | $399/month | Custom pricing (estimated $1,000+/month) | $30,000-$120,000/year |
| Implementation Time | Less than 1 day | 2-3 months | 2-4 weeks |
| AI-Powered Analytics | Comprehensive (data extraction, risk analysis, forecasting) | Advanced (focused on extraction and review) | Moderate (primarily for contract creation) |
| Integrations | Native CRM + 5,000+ via Zapier | Salesforce, SAP, NetSuite | Limited integrations |
| User Experience | Intuitive (4.7/5 user rating) | Complex (4.4/5 user rating) | Steep learning curve (4.7/5 user rating) |
| E-Signatures | Unlimited included | Additional cost | Included in premium plans |
| Market Share (2025) | 14.23% | 6.69% | Not publicly disclosed |
Source: Independent market analysis based on vendor data as of May 2025
