Editor's Note: Take a look at our featured best practice, Digital Transformation: Artificial Intelligence (AI) Strategy (27-slide PowerPoint presentation). The rise of the machines is becoming an impending reality. The Artificial Intelligence (AI) revolution is here. Most businesses are aware of this and see the tremendous potential of AI.
This presentation defines AI and explains the 3 basic forms of AI:
1. Assisted Intelligence
2. [read more]
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Artificial Intelligence (AI) has changed traditional workflows. Whether data extraction or conducting a contract analysis, AI can simplify time-consuming tasks like contract management and risk assessment and reduce the chances of inaccuracies. So, what is AI’s role in contract management, and how can you implement it into your contract system? Let’s find out!
AI for Contract Management
AI in a contract management system automates and streamlines contract-related activities. Whether writing or reviewing contracts, creating contract summaries from large datasets, extracting clauses, predicting risks, or managing deadlines, AI has become a necessity in contract management.
To be more precise, AI for contracts is necessary because:
- It automates and streamlines compliance tasks for effective risk management.
- It helps to manage large datasets and reduce the contract time cycle.
- With automated redlining and analysis, AI can highlight areas where a business misses out on money.
- AI can manage repetitive contract management tasks and reduce administrative tasks to increase organizational efficiency.
- AI maintains records of past agreements and negotiations for informed decision-making.
- Seamless integration with sales or procurement tools, automatic contract drafting, and automatic turn-tracking improve work efficiency and streamline the process for teams and stakeholders.
- AI for contracts helps to identify and eliminate bottlenecks and streamline contract workflows.
- AI flags risky clauses, highlights missing compliance terms, and tracks jurisdictional and departmental obligations to reduce legal surprises and maintain strong regulatory defensibility.
How to Implement AI into a Contract Management System?
Adopting new technologies is necessary, especially when they simplify workflows, help meet industry regulations, and stay competitive. Consider these strategies if you have yet to deploy AI in your contract management system.
Define Clear Objectives
Before implementing AI in contract management, determine specific, measurable, achievable, relevant, and time-bound (SMART) objectives. This will help you determine whether the AI system meets the particular demands of contract management processes. Once that’s done, create a roadmap with key stakeholders, project milestones, and a data governance framework for measurable results. With key insights, you can determine the efficiency of the AI system and identify areas to work on.
Use High Quality Data
If you want to upgrade your contract system with AI, you must focus on data quality. Remember, data for AI training should be clean and reliable. Also, invest in a thorough data audit to cleanse data and perform quality checks to ensure everything complies with regulatory standards.
Integrate Into the Existing Systems
Select AI tools that align with your business goals and needs. Do a comparative analysis of the tools based on their use for general purposes with those specifically designed for legal purposes. Additionally, use middleware solutions or custom APIs for seamless integration of AI into your current system.
Monitor the Effectiveness of the AI System
Regular review of AI systems is mandatory to identify areas for improvement and optimization. To make data-driven decisions, companies should establish clear metrics for evaluating the AI system’s performance. Companies should also develop a feedback loop to obtain performance reviews, user feedback, and system audits to manage contracts and increase accuracy in contract analysis.
Check for Compliance and Transparency
Safeguarding critical data is crucial for building trust. Your data should be transparent and adhere to the standard privacy regulations and anti-discrimination laws. Also, train the users about the system’s functionalities and run regular audits. The review reports will help you analyze the data inputs and outputs and the efficiency of the decision-making processes.
In Conclusion
AI has improved contract management in multiple ways, from reducing errors and simplifying contract accessibility to maintaining consistency and speeding up the review processes. Companies can gain a competitive advantage with clear objectives by maintaining transparency and complying with privacy laws. If you want to ensure your AI systems are optimized for contract management, use these suggestions immediately.
Author Bio
James Thomas is a senior writer at Content Market Insights. He has over 6 years of experience in content marketing and has mastered the art of writing compelling, SEO-friendly content. When not busy creating content, James loves reading, camping, and fishing with friends.
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Want to Achieve Excellence in Digital Transformation?
Gain the knowledge and develop the expertise to become an expert in Digital Transformation. Our frameworks are based on the thought leadership of leading consulting firms, academics, and recognized subject matter experts. Click here for full details.
Digital Transformation is being embraced by organizations of all sizes across most industries. In the Digital Age today, technology creates new opportunities and fundamentally transforms businesses in all aspects—operations, business models, strategies. It not only enables the business, but also drives its growth and can be a source of Competitive Advantage.
For many industries, COVID-19 has accelerated the timeline for Digital Transformation Programs by multiple years. Digital Transformation has become a necessity. Now, to survive in the Low Touch Economy—characterized by social distancing and a minimization of in-person activities—organizations must go digital. This includes offering digital solutions for both employees (e.g. Remote Work, Virtual Teams, Enterprise Cloud, etc.) and customers (e.g. E-commerce, Social Media, Mobile Apps, etc.).
Learn about our Digital Transformation Best Practice Frameworks here.
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