We are moving past simple document review and into an era where AI is a core strategic partner for legal teams. The latest Contract AI tools, powered by generative AI, can now draft initial agreements, summarize complex terms, and suggest alternative phrasing during negotiations. This level of sophistication is quickly making the technology a competitive necessity rather than a luxury. For many businesses, the question is no longer if they should adopt it, but how to do it effectively. This shift requires not just new software, but also new talent. Finding a forward-thinking contract AI developer is the first step to building a smarter, more efficient legal workflow.
Key Takeaways
- Shift from Reactive to Proactive Contract Management: Contract AI allows you to move beyond simply processing documents. It helps you actively identify risks before they become problems, monitor compliance automatically, and use the data within your agreements to make smarter business decisions.
- Prioritize People and Process Over the Platform: A successful rollout depends less on the specific tool you choose and more on your preparation. Focus on mapping your current workflow, setting clear goals, and training your team to ensure the technology is adopted effectively and solves real problems.
- Adoption Is No Longer Optional, It's a Competitive Necessity: With advancements like generative AI making these tools more powerful and accessible, companies that stick to manual processes will fall behind. Leveraging contract AI is becoming a standard for businesses that want to operate with speed, accuracy, and strategic insight.
What is Contract AI?
If you've ever spent hours poring over a dense legal document, you know how tedious and high-stakes the process can be. Contract AI is technology designed to take on that heavy lifting. It uses artificial intelligence to help businesses create, review, manage, and understand their contracts more efficiently. Think of it as a super-smart assistant for your legal and business teams, one that can read and process information at a scale no human ever could.
This technology isn't just about speeding things up; it's about adding a layer of intelligence to the entire contract lifecycle. By automating repetitive tasks and uncovering valuable insights hidden within legal text, Contract AI helps companies reduce risk, ensure compliance, and make better strategic decisions. It’s a powerful tool that’s quickly becoming essential for modern businesses that want to stay competitive and agile.
The Core Technology
At its heart, Contract AI is powered by a combination of artificial intelligence disciplines, primarily machine learning (ML) and natural language processing (NLP). These technologies work together to teach computers how to read, comprehend, and analyze legal documents. Instead of just recognizing keywords, the system learns to understand context, intent, and the complex relationships between different clauses. The goal is to automate the manual work involved in contract management, freeing up legal professionals to focus on more strategic tasks that require human judgment and expertise. This allows teams to move faster without sacrificing accuracy.
Natural Language Processing (NLP)
Natural Language Processing is the magic that allows Contract AI to understand human language. It’s the same technology that powers voice assistants and translation apps, but here it’s trained specifically on the nuances of legal terminology. NLP enables the software to scan a contract and instantly identify key elements like party names, effective dates, renewal terms, and liability clauses. This capability is fundamental to the entire process, as it transforms unstructured text from a PDF or Word document into structured data that the system can analyze and report on. Professionals in Data Science & Analytics are often the experts behind building these sophisticated NLP models.
The Role of Machine Learning
If NLP is what allows the AI to read, machine learning is what allows it to learn. As the system processes more and more contracts, its ML algorithms begin to recognize patterns and make predictions. For example, it can learn what a standard non-disclosure clause looks like for your industry and flag any contract that deviates from that norm. Over time, it gets smarter and more accurate, continually refining its understanding based on new data and user feedback. This learning ability is what makes Contract AI a dynamic tool, and it’s why having a talented Machine Learning expert is so critical for developing and maintaining these systems.
Generative AI Applications
The latest evolution in this space is the integration of generative AI. While older systems focused on analysis, generative AI can actually create new content. In the context of contracts, this means it can draft a first version of a standard agreement based on a few simple prompts, pulling from a library of approved clauses and past contracts. It can also suggest alternative wording during negotiations or even summarize a 50-page agreement into a concise, easy-to-understand brief. This application of AI Engineering dramatically accelerates the contract creation process, saving teams countless hours of initial drafting work and ensuring consistency across all legal documents.
What Can Contract AI Actually Do?
Contract AI is more than just a buzzword; it’s a powerful tool that transforms how businesses handle legal agreements. By automating tedious tasks and providing deep insights, it frees up legal and operational teams to focus on more strategic work. From drafting initial agreements to monitoring obligations long after they’re signed, AI introduces a new level of efficiency and accuracy to the entire contract lifecycle. It helps reduce human error, speeds up negotiations, and gives you a much clearer view of your contractual risks and opportunities. Let's look at some of the specific ways you can put this technology to work.
Automate Contract Creation
Think about how much time is spent drafting routine contracts. Contract AI can significantly cut down on that time by generating standard agreements from pre-approved templates. Using insights from past contracts, the system can pull together a new, accurate draft in minutes. It’s also smart enough to suggest important clauses you might have missed, like specific rules around data privacy or intellectual property. This not only accelerates the writing process but also helps ensure your contracts are comprehensive and protect your interests from the very beginning. It’s a simple way to build consistency across all your legal documents.
Identify Potential Risks
Every contract comes with a certain level of risk, but spotting it isn’t always easy. AI acts as a vigilant assistant, scanning documents to identify potentially risky language, ambiguous terms, or missing clauses that could lead to compliance issues down the road. Some advanced tools even provide a dashboard that highlights problematic phrases and assigns a risk score to the entire agreement. This allows your team to quickly focus on the most critical areas during review. By flagging potential issues before a contract is signed, AI helps you mitigate legal risks and enter into agreements with greater confidence.
Streamline Legal Workflows
Reviewing lengthy, complex contracts can be a major bottleneck. Contract AI helps break through it by streamlining the entire review process. The software can generate concise summaries of long documents, allowing stakeholders to quickly grasp the key points without getting lost in legal jargon. It can also automatically "redline" or highlight terms that deviate from your company’s standard positions or seem incorrect. This makes it much easier for legal teams to spot what needs attention, suggest edits, and move the contract forward. It’s a practical way to make your legal operations more efficient and responsive.
Analyze Data and Create Reports
Contracts are filled with valuable data, but it’s often locked away in static documents. AI unlocks this information, turning your contract portfolio into a source of actionable business intelligence. The system can extract and analyze key data points across thousands of agreements, helping you identify trends, track obligations, and create detailed reports. For example, you could quickly see which clauses are most frequently negotiated or when key contracts are up for renewal. This level of analysis helps you make more informed decisions, improve negotiation strategies, and manage your contractual relationships more effectively.
Monitor for Compliance
A contract’s lifecycle doesn’t end once it’s signed. AI helps with the crucial post-signature phase by actively monitoring compliance. The system tracks important dates, deliverables, and performance milestones, sending automated alerts when action is needed. This ensures you never miss a renewal deadline or fail to meet an obligation. Furthermore, as laws and regulations change, AI can flag existing contracts that may need to be updated to remain compliant. This proactive monitoring is essential for maintaining good business relationships and avoiding costly penalties, making it a key part of any modern compliance program.
Top Contract AI Platforms to Know
The contract AI market is full of powerful tools, each with its own strengths. Whether you need end-to-end lifecycle management or a specialized tool for contract review, there’s a platform designed to help. Understanding the key players can help you find the right fit for your legal and operational needs. These platforms are not just changing how legal teams work; they are creating new opportunities for AI engineers and data scientists to build and refine the models that power them. From automating tedious review processes to uncovering hidden risks in dense legal documents, these tools demonstrate the real-world value of AI.
Choosing the right platform often depends on your specific pain points. Are you struggling with the sheer volume of contracts? Is risk identification your top priority? Or do you need to accelerate the negotiation and approval process? The platforms below represent a range of solutions, from comprehensive suites that manage the entire contract lifecycle to highly specialized tools that excel at specific tasks like data extraction or automated redlining. As you explore these options, consider how each one could integrate with your existing systems and support your long-term business goals. Here are some of the top platforms making a significant impact on how businesses handle their agreements.
Evisort
Evisort is an AI-powered platform designed to help businesses manage their contracts from creation to renewal. What sets it apart is its use of a proprietary large language model trained specifically on legal agreements, similar to how ChatGPT is trained on broad internet data. This specialized focus allows Evisort to deliver high accuracy and security when automating contract workflows. It’s a strong choice for companies looking for a comprehensive solution that can handle the entire contract lifecycle with intelligent, purpose-built AI.
Icertis
The Icertis platform uses artificial intelligence, particularly machine learning and natural language processing (NLP), to automate and improve how contracts are managed. It covers every stage of a contract's life, from initial drafting and review to negotiation, approval, and ongoing management. By applying AI across the entire process, Icertis helps businesses streamline operations and gain deeper insights from their contractual agreements. It’s built to handle the complexity of enterprise-level contracting, making it a go-to for large organizations.
DocuSign
While many know DocuSign for its electronic signature capabilities, the platform offers a much broader suite of tools for contract management. It provides a comprehensive system for streamlining the entire agreement process, from creation to signature and storage. By centralizing contracts and automating workflows, DocuSign helps businesses enhance compliance and accelerate deal cycles. It’s an excellent option for companies that want to integrate a trusted e-signature solution with robust contract lifecycle management features.
Kira Systems
Kira Systems excels at pulling out and analyzing specific information from large volumes of contracts. This makes it particularly useful for major review projects, like due diligence during a merger or acquisition. The platform is known for its high accuracy in processing vast amounts of data for specific contract types, allowing legal teams to quickly identify key clauses, risks, and opportunities without manual review. If your primary need is deep analysis rather than end-to-end lifecycle management, Kira is a powerful, specialized tool.
BlackBoiler
BlackBoiler focuses on automating the contract markup process. The platform automatically suggests edits and revisions to contracts based on your company's established legal playbook and past agreements. It integrates directly with document management systems, allowing it to review and mark up contracts in minutes. This is a great tool for legal teams that spend a significant amount of time on repetitive review tasks, as it helps enforce internal guidelines and dramatically speeds up negotiations.
LexCheck
LexCheck uses AI to automate the contract review process, acting as a virtual assistant for legal teams. The platform reviews contracts in under five minutes, identifying potential risks and ensuring the language complies with company standards. It provides a redlined version with suggested changes, allowing lawyers to focus their attention on more complex strategic issues. LexCheck is ideal for organizations looking to reduce the time spent on first-pass reviews while improving consistency and risk management across all their agreements.
ContractPodAi
ContractPodAi offers a complete solution for managing legal agreements by combining contract lifecycle management with risk and compliance tracking. The platform helps with everything from identifying specific clauses and assessing risks to monitoring obligations and ensuring compliance. This integrated approach provides a holistic view of your entire contract landscape, making it easier to manage legal and financial risks proactively. It’s a solid choice for businesses that need a single source of truth for all their contractual data.
Ironclad
Ironclad is a digital contract lifecycle management platform designed to help businesses automate and streamline their agreement processes. It allows teams to create self-service workflows, which means colleagues in sales, HR, or procurement can generate compliant contracts without needing direct legal oversight for every document. By centralizing contract data and automating routine tasks, Ironclad helps improve efficiency, ensure compliance, and give legal teams more time to focus on high-value work.
How to Implement Contract AI Successfully
Bringing a contract AI platform into your organization is more than a simple software installation—it's a strategic move that can fundamentally change how your legal, sales, and procurement teams operate. A successful rollout isn't just about picking the right technology; it's about thoughtful planning, clear communication, and preparing your team for a new way of working. Many companies get so excited about the potential of AI that they rush the setup, only to face low adoption rates and disappointing results. To avoid this, you need to treat implementation as a dedicated project with clear ownership and milestones. By following a structured, step-by-step process, you can smooth the transition, avoid common pitfalls, and ensure the technology works cohesively with your existing people and processes. This foundational work is what separates a flashy new tool from a truly transformative business solution that delivers a real return on investment.
Assess Your Current Workflow
Before you can improve your contract management, you need a crystal-clear picture of how it works right now. Start by mapping out your entire contract lifecycle, from initial drafting and negotiation to execution, storage, and renewal. Identify every touchpoint, stakeholder, and system involved. Where are the bottlenecks? Are reviews taking too long? Are you struggling to find specific clauses in old agreements? Pinpointing these pain points will show you exactly where an AI tool can deliver the most value. This initial assessment gives you a baseline to measure success against and helps you build a strong business case for the investment.
Set Clear, Achievable Goals
Once you know your challenges, you can define what you want to achieve. Vague goals like "improve efficiency" won't cut it. Instead, set specific, measurable targets. For example, you might aim to "reduce the average contract review time by 40%" or "automatically flag 95% of non-compliant clauses in third-party paper." These concrete objectives help you choose a platform with the right features and give you clear benchmarks to track your return on investment. Having well-defined goals also helps manage expectations across the organization and keeps your implementation project focused on delivering tangible business outcomes.
Ensure High-Quality Data
An AI system is only as smart as the data it learns from. To get accurate and reliable results from your contract AI, you need to feed it clean, organized, and relevant data. This often means undertaking a data hygiene project before you begin. Take inventory of your existing contracts. Are they stored in a centralized repository or scattered across different drives and inboxes? Are they digitized and machine-readable? Investing time to consolidate and standardize your contract data is critical. High-quality data allows the AI to excel at ensuring accuracy and compliance, which is essential for mitigating legal risks.
Establish Security Standards
Contracts contain some of your company's most sensitive information, so security is non-negotiable. Before implementing any AI solution, you must establish robust security standards. This includes defining access controls to determine who can view, edit, and approve contracts within the system. Work with your IT team to ensure the platform complies with data privacy regulations like GDPR or CCPA and meets your industry's security requirements. A trustworthy vendor will be transparent about their security protocols, encryption methods, and data handling policies. Your data infrastructure team should be a key partner in this evaluation.
Plan the Integration
Your contract AI tool shouldn't operate in a silo. To maximize its effectiveness, it needs to connect seamlessly with the other systems your business relies on every day. Plan how the platform will integrate with your CRM (like Salesforce), ERP (like NetSuite), and cloud storage (like Google Drive or SharePoint). A well-planned integration creates a single source of truth for contract data and automates workflows across departments. For instance, an approved contract in the AI platform could automatically update the customer record in your CRM. This cohesion prevents manual data entry and ensures everyone is working with the most current information.
Train Your Team
Technology is only effective if people use it. Driving user adoption is one of the most critical parts of any implementation. Start by clearly communicating the benefits of the new tool to your team—explain how it will automate repetitive tasks and free them up for more strategic work. Provide comprehensive, role-specific training that goes beyond a single demo. Offer ongoing support through office hours, user guides, and a dedicated point of contact for questions. Getting a few key team members to become internal champions can also make a huge difference in encouraging their peers to embrace the new system.
How to Choose the Right AI Developer
With so many impressive platforms on the market, picking the right one can feel like a huge task. The key is to look beyond the flashy features and focus on the developer behind the technology. You're not just buying software; you're entering a partnership. The right developer will offer a solution that fits your current needs and has the flexibility to grow with you. A great platform should feel like a natural extension of your team, simplifying your processes without causing major disruptions.
To find the best fit, you’ll need to dig into the details of their technology, support, and business practices. Think about how the tool will integrate with your existing systems, what kind of support you’ll get after you sign the contract, and whether the pricing model makes sense for your budget. It’s also critical to consider the developer's commitment to security and their vision for the future. By systematically evaluating each potential partner against these core criteria, you can confidently select a contract AI solution that delivers real value. Let's break down exactly what to look for.
Evaluate Their Technical Expertise
First things first, you need to be sure the technology actually works as advertised. A strong developer will be transparent about the Machine Learning models they use and the accuracy of their system. Ask for case studies or a live demo using your own documents to see the results for yourself. The platform should excel at ensuring accuracy and compliance, which helps reduce legal risks and improves the quality of your contract management. A developer with deep technical expertise will have built a reliable system that you can trust with your most important documents.
Check Their Integration Capabilities
A powerful AI tool is only useful if it works with your existing software. Before committing, confirm that the platform can integrate smoothly with your current CRM, document storage, and other essential systems. The goal is to find a solution that functions cohesively with your team's established processes without causing major disruptions. A developer that prioritizes strong Data Infrastructure & MLOps will make this transition much smoother. Ask potential vendors for a list of their native integrations and their API capabilities to ensure a seamless fit.
Review Support and Service Options
Even the most intuitive software requires solid customer support. What happens if you run into an issue or need help training your team? Look for a developer that offers comprehensive support, including onboarding assistance, training materials, and a responsive help desk. Good service can smooth the transition to an AI-powered workflow and help you get the most out of the technology. Don't hesitate to ask about their standard support packages and what level of service you can expect after the sale is complete.
Understand the Pricing Models
Pricing for AI software can vary widely, so it’s important to find a model that aligns with your budget and usage needs. Some developers charge a flat subscription fee, while others have usage-based or per-user pricing. Thanks to cloud computing, many powerful AI solutions are available at a fraction of their historical cost, but you need to understand the total cost of ownership. Ask for a clear breakdown of all fees, including implementation, training, and support, so there are no surprises down the road.
Consider Future Scalability
The solution you choose today should be able to support your company's growth tomorrow. As you evaluate developers, think about your long-term needs. Will the platform be able to handle an increasing volume of contracts? Does the developer have a roadmap for introducing new features and improvements? Implementing AI can yield significant long-term advantages, but only if the technology can scale with you. Choose a forward-thinking partner who is continuously investing in their product.
Verify Security Measures
When you’re dealing with sensitive legal documents, security is non-negotiable. A reputable AI developer must have robust security measures in place to protect your data. Inquire about their data encryption protocols, access controls, and compliance with regulations like GDPR and CCPA. The platform should provide a secure environment that gives you full control over your information. A developer who is serious about security will be happy to provide you with their documentation and answer any questions you have.
Common Challenges to Prepare For
Bringing contract AI into your workflow is a big step, and like any major tech implementation, it comes with a few hurdles. Being aware of these potential challenges from the start helps you create a smoother rollout and get the most value from your investment. By planning ahead for issues like data security, system integration, and team adoption, you can turn potential roadblocks into manageable tasks.
Addressing Data Privacy
Contracts are filled with sensitive information, so data privacy and security have to be top priorities. The quality of your AI's output depends entirely on the data it learns from, but you can't afford to be careless with confidential details. Before you commit to a developer or platform, ask pointed questions about their security protocols. Where is the data stored? Who has access? Is it encrypted? You need a partner who can demonstrate a strong commitment to protecting your information and help you stay compliant with regulations like GDPR and CCPA. A clear data governance framework is essential from day one.
Handling System Integration
Your new contract AI tool won't exist in a vacuum. It needs to connect seamlessly with the systems your team already uses, like your CRM, document management software, and e-signature platforms. A clunky integration process can cause major disruptions and kill productivity. When evaluating developers, look for those with experience building flexible APIs or who offer pre-built integrations for common business tools. The goal is to find a solution that fits into your existing people, processes, and systems, creating a cohesive workflow rather than another siloed piece of software. A smooth system integration ensures the technology works for you, not against you.
Driving User Adoption
The most advanced AI on the planet is useless if your team doesn't use it. Change can be difficult, and some legal professionals might be skeptical of relying on AI for critical tasks. To encourage adoption, you need to clearly communicate the benefits. Show your team how the tool will automate repetitive work, reduce errors, and free them up for more strategic activities. Start with a pilot program for a small, enthusiastic group and provide thorough training for everyone. When people understand how AI enhances their efficiency and makes their jobs easier, they’re much more likely to embrace it.
Monitoring Performance
To ensure you’re getting a real return on your investment, you need to track how your contract AI is performing. Implementing the technology is just the beginning; the long-term advantages come from continuous improvement. Establish key performance indicators (KPIs) before you go live. You could measure things like contract review time, the number of errors caught, or the speed of your deal cycles. Regularly review these metrics and gather feedback from your team to identify areas for improvement. This data-driven approach will help you refine your processes and prove the value of the AI tool to company leadership.
Planning for Ongoing Maintenance
AI models aren't a "set it and forget it" solution. They require regular maintenance and updates to remain accurate and effective, especially as laws and business practices change. Your AI will need to be retrained with new data to keep its performance sharp. Work with your developer to create a clear plan for ongoing support and maintenance. Understand who is responsible for updates, how often they will occur, and what the associated costs are. Proactive planning for the entire AI model lifecycle ensures your tool remains a valuable asset long after the initial implementation, helping you avoid common pitfalls and maximize its benefits.
What's Next for Contract AI?
The world of Contract AI is evolving at a rapid pace. We're moving past simple document review and into an era where AI is a core strategic partner for legal and business teams. The future isn't just about doing things faster; it's about doing them smarter. This means more predictive insights, deeper integration with business operations, and a proactive approach to risk and opportunity. As technology like generative AI becomes more sophisticated, the pressure to adopt these tools is mounting. For many businesses, what was once a "nice-to-have" is quickly becoming a competitive necessity.
At the same time, a complex web of regulations demands greater diligence than ever before. This convergence of trends is creating exciting new possibilities for how we manage contracts and, ultimately, how we do business. The next wave of innovation will be driven by those who can harness these changes effectively, turning their legal departments from cost centers into strategic assets. The demand for skilled AI professionals who can build and manage these systems is growing just as quickly, highlighting the critical link between technology and talent. It's a shift that requires not just new software, but a new mindset—one that sees contracts as living data sources that can inform everything from sales strategy to product development.
Emerging Technologies
The biggest game-changer on the horizon is undoubtedly generative AI. Newer Contract AI tools are using this technology to create human-like text, which is revolutionizing the entire contract lifecycle. Think about it: instead of starting from a blank page, legal teams can now have AI generate a solid first draft of a contract in seconds. It can also summarize lengthy, complex agreements into a few key bullet points or suggest alternative phrasing for a tricky clause. This capability saves an incredible amount of time and makes the whole process smoother. It frees up legal professionals to focus on strategic negotiation and risk assessment rather than getting bogged down in routine drafting. The AI engineering talent behind these tools is pushing the boundaries of what's possible.
Key Industry Trends
The conversation around Contract AI has shifted dramatically. It's no longer a question of if a company should adopt it, but when and how. For many organizations, using AI for contracts is now seen as "not optional" but "essential" to stay competitive. Businesses that leverage AI can close deals faster, identify risks more accurately, and extract valuable business intelligence from their agreements. This creates a significant competitive advantage. Companies still relying on manual processes will struggle to keep up with the speed and efficiency of their AI-powered counterparts. Implementing these systems is becoming a key part of modern business strategy, ensuring that legal departments contribute directly to the bottom line.
The Impact of Regulations
As business becomes more global, the regulatory landscape gets more complicated. Companies are constantly working to ensure that new partners, employees, and customer data practices follow strict privacy rules like GDPR or CCPA. This is where Contract AI is becoming indispensable. Advanced platforms can automatically scan thousands of contracts to flag clauses that might violate these regulations, identifying potential issues before they become costly problems. This automated oversight is crucial for maintaining compliance and avoiding the steep fines associated with data privacy breaches. It provides a layer of security and diligence that is nearly impossible to achieve through manual review alone, especially for companies operating at scale.
Opportunities for Innovation
Beyond risk management and efficiency, the future of Contract AI is full of creative possibilities. For instance, AI can analyze a company's entire history of agreements to build optimized templates. By identifying which clauses have consistently led to better outcomes, AI can create standard contract templates based on old agreements, making it easy to quickly create new, correct contracts. This data-driven approach takes the guesswork out of drafting. But the innovation doesn't stop there. We're seeing AI used to predict negotiation sticking points, identify opportunities for upselling within existing contracts, and even analyze performance against contractual obligations. This transforms contracts from static legal documents into dynamic sources of business intelligence.
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Frequently Asked Questions
Is Contract AI meant to replace lawyers? Not at all. Think of it as a powerful assistant that handles the repetitive, time-consuming tasks, freeing up legal professionals to focus on what they do best: strategic thinking, complex negotiations, and providing expert judgment. The technology is designed to augment human expertise, not replace it. It can review thousands of documents for specific clauses in minutes, a task that would take a human team weeks, allowing lawyers to spend their time on higher-value work.
Is this technology only for large corporations? While large enterprises were the first to adopt these tools, that’s no longer the case. Many platforms now offer scalable solutions and flexible pricing models that make Contract AI accessible to smaller and mid-sized businesses. The key is to find a tool that matches your specific needs, whether you handle a few dozen contracts a month or thousands. The goal is the same for everyone: to improve efficiency and reduce risk, regardless of company size.
How much technical knowledge do I need to use a Contract AI platform? For the average user, like a lawyer or a contract manager, you don't need any technical expertise. The best platforms are designed with a user-friendly interface, much like any other business software you use daily. While your IT or data infrastructure team might be involved in the initial setup and integration, the day-to-day operation is typically straightforward and intuitive, requiring only basic training to get started.
What's the first step I should take if I'm interested in this for my company? Before you even look at a demo, start by looking inward. The best first step is to map out your current contract process from start to finish. Identify where the delays happen, what tasks take the most time, and where the biggest risks lie. Once you have a clear understanding of your own pain points, you'll be in a much better position to evaluate which AI platform has the right features to solve your specific problems.
How does generative AI change the game for contract management? Previous AI was excellent at analyzing and extracting information from existing contracts. Generative AI takes it a step further by actually creating new content. This means it can produce a solid first draft of a standard agreement from a simple prompt, suggest alternative wording during negotiations, or write a concise summary of a 50-page document. It fundamentally accelerates the creation and revision stages of the contract lifecycle, which have always been very manual.
