From PDFs to Smart Contracts and Chatbots

Trends in the Contract Management Industry

The Contract management industry has undergone a significant evolution over the past few years; transitioning from traditional pen-and-paper and filling cabinets methods to advanced digital solutions. This transformation has been driven by technological advancements, changing business needs, and the increasing complexity of contracts in today's global marketplace. Contract management is faster, easier, more intelligent and less prone to errors thanks this evolution into digital age. If you’re wondering what’s next in the evolution of contracts the foundation of so many business operations and transactions this is a good place to start. This paper will explore three developments that will likely impact contract management in the years ahead, ranging from enhanced collaboration to a new focus on corporate responsibility requirements to AI. Here are the trends one can expect in 2024 and what they will mean for business.

Trend #1: Increasing Use of Natively Digital Smart Contracts

Smart contracts represent a shift in contract management, evolving from traditional paper-based methods to fully digital solutions. These are self-executing contracts with the terms of the agreement between buyer and seller directly written into lines of code. The code and the agreements contained therein exist across a distributed, decentralized blockchain network. The benefits of smart contracts over traditional contracts are manifold. Primarily, they reduce the need for intermediaries, thus lowering transaction costs and increasing transparency. Furthermore, they offer enhanced security and reduce the incidence of fraud since execution is managed automatically by the network, rather than any one party (Softjourn, 2024).

The use of natively digital smart contracts has seen a remarkable increase in recent years. In 2020, the global smart contracts market was valued at approximately USD 1,500 million. By 2023, this market value has grown significantly due to the increasing adoption across various industries. According to a report by Zion Market Research, the global smart contracts market is projected to reach USD 9,850 million by 2030, with a compound annual growth rate (CAGR) of 24% from 2023 to 2030. This growth highlights the shift towards digital and automated contract management solutions, driven by technological advancements and the need for more efficient contract management processes (Zion Market Research, 2023).

The transformation brought about by smart contracts in contract management is profound. For example, industries such as real estate have seen significant simplification of transactions. A case study by Propy, a global property store and decentralized title registry, demonstrates this transformation. The company successfully conducted the first-ever real estate transaction entirely on blockchain in Vermont, USA, reducing closing times significantly and cutting transaction costs by eliminating various traditional intermediaries (Xi, 2024).

Predictions for the future of smart contracts suggest an even greater adoption and integration into mainstream industries. As reported by Zion Market Research (2023), smart contracts are set to be integrated into approximately a quarter of global organizations, facilitating transactions and enhancing compliance. This trend is likely to continue growing as more sectors recognize the efficiencies of blockchain-enabled contract management (Zion Market Research, 2023).

Trend #2: Using AI-Enhanced Negotiation and Post-Signing Workflows

AI-enhanced negotiation tools and post-signing workflows are becoming more prevalent in contract management. These tools leverage artificial intelligence to analyze, interpret, and extract information from legal contracts, significantly improving the efficiency and accuracy of contract review processes. A notable example of this trend is Walmart's implementation of AI to automate supplier negotiations. According to Harvard Business Review, Walmart's AI system can handle complex negotiation scenarios, reducing the time required for contract negotiations and ensuring compliance with company policies. This system has resulted in substantial efficiency gains and has set a benchmark for other companies to follow, demonstrating the tangible benefits of AI in contract management (Harvard Business Review, 2022). Walmart went from 20% of its contracts being non-negotiated in 2020, due to cookie-cutter forms being used, to developing a chatbot in 2022 that “was successful in reaching an agreement with 64% of [its supplier clients] — well above the 20% target — and with an average negotiation turnaround of 11 days. Walmart gained, on average, 1.5% in savings on the spend negotiated and an extension of payment terms to an average of 35 days” (Harvard Business Review, 2022). Thus, it can be seen that AI-enhanced negotiation and AI-driven post-signing workflows represent the next frontier in the digital transformation of contract management. AI-enhanced negotiation involves the use of artificial intelligence to simulate negotiation scenarios and suggest optimal outcomes based on predefined objectives. This technology can analyze past negotiation data to recommend the best strategies or contractual terms that maximize value for both parties.

Post-signing workflows benefit similarly from AI integration. AI technologies can monitor compliance with contract terms, automate the tracking of obligations, and even trigger alerts when specific conditions are met or actions are required. This ensures that contracts are not just static documents but dynamic tools that actively manage the ongoing relationship between contracting parties (DocuSign, 2024a).

However, the integration of AI into contract management is not without challenges. Data privacy emerges as a primary concern, particularly with sensitive negotiation information. Additionally, there is the risk of over-reliance on technology, potentially leading to a lack of human oversight in critical decision-making processes (The Council of State Governments, 2023).

Trend #3: New Legislation Addressing Data Privacy and AI

As DocuSign (2024a) reports, “47% of polled contract management professionals said their enterprise experienced unnecessary risk due to the inability to proactively detect problematic language in contracts.” Meanwhile, PDFs, which are now 30 years old in market terms, are becoming a thing of the past as 75% of professionals polled by DocuSign report adopting some kind of smart contract or preferring smart contract usage as opposed to legacy PDF contracts (DocuSign, 2024b). Thus, it can be seen that there is an increase in both the usage of smart contracts and the emphasis on compliance with data privacy laws (DocuSign, 2024a, 2024b). As digital transformation deepens its roots in various sectors, emerging legislation focusing on data privacy and AI is increasingly influencing contract management practices. Recent years have seen a surge in legislative efforts aimed at regulating how personal data is used and how AI systems are deployed and managed. For example, the European Union's General Data Protection Regulation (GDPR) has set a precedent that is influencing similar regulations globally, such as the California Consumer Privacy Act (CCPA) in the United States.

These legislations carry significant implications for contract management. Companies must now ensure that their contracts include specific clauses that comply with these legal standards, particularly concerning data handling and processing. This compliance is not just a legal necessity but also a critical component of corporate responsibility and customer trust.

Companies are adapting to these changes by integrating compliance measures into their contract management systems. This often involves the use of advanced software that can automatically update contracts to reflect new legal requirements. For example, AI tools are being employed to review and modify contract terms in real-time to ensure compliance with dynamically changing laws.

An Important Emerging Issue: Impact of AI Legislation on Contract Management

As artificial intelligence technology continues to evolve, its regulation is becoming an increasingly pressing issue. Governments worldwide are recognizing the need to establish frameworks to manage the deployment and use of AI, leading to the introduction of specific AI legislation. This emerging regulatory landscape is set to have profound implications on various business functions, particularly contract management.

The impact of AI legislation on contract management cannot be overstated. As organizations strive to comply with new regulations, they will need to overhaul their contract management processes. This involves incorporating new compliance requirements, revising existing contracts, and ensuring that future agreements adhere to legal standards. Harvard Business Review highlights that companies investing in robust AI governance frameworks could see an initial increase in operational costs. However, these investments are likely to pay off in the long term by reducing risks related to AI deployment and enhancing strategic decision-making (Harvard Business Review, 2022).

Research Problem Statement: As governments around the world begin to introduce specific legislation aimed at governing the deployment and use of AI, there is a critical need to evaluate how this evolving legal landscape will impact contract management strategies within organizations.

Hypothesis: The introduction of AI-specific legislation will require companies to adopt more stringent AI governance frameworks, which will, in turn, necessitate revisions to contract management processes to ensure compliance, leading to increased operational costs but potentially enhancing strategic decision-making and risk management.

Analysis: This hypothesis reflects the dual-edged nature of AI legislation's impact on contract management. On one hand, such legislation could drive up costs due to the need for enhanced compliance mechanisms and potentially slow down AI deployments as companies navigate the legal intricacies. This viewpoint is supported by recent industry surveys indicating that over 40% of businesses view compliance with AI legislation as a significant barrier to AI adoption.