Artificial intelligence, legal function and procurement: an opportunity for strategic integration

Artificial intelligence is no longer a distant technological promise for corporate areas. It is entering, silently, processes of analysis, writing, monitoring and decision-making. The relevant question today does not seem to be whether to use it, but how to integrate it without weakening the standards of control, traceability and responsibility that support the operation.

In Latin America, the Latin American Report on Legal Management Challenges and Perspectives will show that the priorities of legal areas remain eminently operational: automation of contracts and workflows (71%) and monitoring of regulatory compliance. At the same time, a significant proportion still does not have KPI defined to measure its strategic impact. This is not less: without clear indicators, any technological investment —including the IA— can be perceived as cost and not as structural improvement.

International trends show that artificial intelligence is beginning to redefine complete functions, not just isolated tasks. In fact, its application is already concrete: advanced analysis of expenditure, generation and evaluation of RFP / RFQ, comparison of offers, removal of contractual clauses and monitoring of supplier performance (Ideson, 2025; LegalFly, 2025). These use cases are not theoretical; they respond to repetitive, data-based and highly documentary processes, where automation can generate measurable efficiency.

In addition, a number of strategic analyses suggest that IA integration can transform procurement from a predominantly transactional function to a more analytical and predictive unit, capable of anticipating supply chain risks, optimizing negotiations and strengthening operational resilience (McKinsey & Company, 2025). In other words, procurement meets three conditions that favour successful adoption: high volume of information, structured processes and quantifiable results.

Therefore, procurement appears as a particularly conducive ground for integrating artificial intelligence with tangible impact. Not only because it allows to improve data cycle and analysis times, but because each purchase decision is contractually formalized. The IA can assist in the preparation, comparison and revision of these instruments, but its value is realized when this efficiency results in more consistent, traceable and aligned contracts with internal standards (LegalFly, 2025; Ideson, 2026). Thus, procurement is not only an automation space, but a natural meeting point between technology, risk management and contractual architecture.

The opportunity for Chile

In Chile, formal adoption of artificial intelligence in legal areas reaches 24%, the lowest percentage among countries analysed in the regional study (Lemontech, 2025). However, the same report indicates that Chile leads in the use of internal development tools, with 41%, the highest level of the compared sample (Lemontech, 2025).

This combination is interesting. On the one hand, it reflects a more moderate incorporation of artificial intelligence solutions compared to other markets in the region. On the other hand, it demonstrates an organizational culture aimed at the control, personalization and development of tools. Rather than being interpreted as slow, this scenario could be read as an opportunity: the possibility of integrating artificial intelligence from a strategic design, supported by already structured processes and prior governance logic, rather than adopting technology by trend.

In this context, procurement appears as a good starting point. It is an area that combines high documentary volume and repetitive processes. Each purchase process ends up being formalized in contracts, annexes, purchase orders and obligations that must be monitored over time. When the contractual volume increases, the risk is not limited to a misnegotiation on time; it is also manifested in the loss of traceability and in deviations from internal standards.

In that scenario, artificial intelligence could bring concrete value. It can facilitate the detection of inconsistencies between documents, support the structured removal of obligations, identify clauses that deviate from predefined models and analyse vendor performance patterns from historical data. However, these benefits do not depend exclusively on the tool. In order for technology to add real value, there is a need for standardized processes, consistent templates and clear validation criteria. The IA can speed up the analysis, but it only generates control if it is integrated into an already ordered contractual architecture.

How to integrate IA into procurement without losing control

Comparative experience suggests that successful adoption does not begin with technology, but with processes.

In high-volume contractual management environments, reasonable integration could consider:

1. Standard before automating.

The IA works best when operating on clear templates, coherent definitions and defined flows. Without that base, automation can amplify errors.

2. Departure with coated use cases.

Cost analysis, comparison of contractual versions or generation of structured drafts are good starting points. They allow to measure impact without taking excessive risks.

3. Maintain mandatory human supervision.

The IA may assist, but legal validation is not delegated. The professional approach remains central.

4. Measure results.

Cycle time, reduction of rework, reduction of inconsistencies or improvements in compliance are indicators that can demonstrate value. Without metrics, adoption loses internal legitimacy.

Conclusion

Artificial intelligence does not replace the legal function or the purchasing function. It forces them to coordinate better.

In Chile, where adoption is still prudent, there is the possibility of integrating these tools with method and governance. Procurement offers a specific space to do so, especially when connected to high volume contractual management.

The real transformation is not in using more technology, but in integrating it without weakening the standard that supports the operation.

References

Ideson, P. (2026). State of AI in Procurement in 2026. Art of Procurement https: / / sl1nk.com / csovdr9

LegalFly. (2025). AI in Procurement: The Complete Guide. https: / / l1nq.com / 39l80ec

Lemontech. (2025). Challenges and prospects for legal management https: / / l1nq.com / nv2nzz1

McKinsey & Company. (2025). Transforming procurement functions for an AI.driven world. https: / / l1nq.com / hja39lc