Report · Interactive tool

Explore the data

Choose variables and discover relationships the report does not tell explicitly. Each view computes the correlation live and translates it into a sentence. Organization-level data (111 organizations, 13 composite variables).

What does each variable mean?
Infrastructure
Perception that systems and access to technology support digital work.
Professional adaptation
Beliefs about human judgment, AI oversight and resistance to change.
Efficiency
Perception that technology increased efficiency and freed up time.
Client experience
Perceived improvement in client satisfaction, transparency and expectations.
AI impact
Perceived benefits of AI (new services, accuracy, more cases), among those who use it.
Ethical practices
How often ethical risks, confidentiality and documentation are assessed when using AI.
KPI maturity
How developed measurement with management metrics is.
Knowledge
Self-reported level of the team's knowledge in management and technology.
Digitalization %
Percentage of the organization's documents that are digitalized.
Training
How often the team is trained on digital topics.
Tool usage
Actual usage (frequency) of the technology tools contracted.
AI usage
Actual usage (frequency) of AI tools, among those who implemented it.
Adoption index
Overall technology-maturity score (sum of the ingredients above).

ρ is the Spearman correlation computed live over the selection. The trend line is a least-squares polynomial fit (raise the degree to hug the data more closely, watching out for overfitting). Correlation does not imply causation: the study is cross-sectional and self-reported.

How to cite

Prince Tritto, P., Villa Berger, P., Salmon, L., Muñoz Ponce, M., & Limón González, J. B. (2026). Technology Maturity Index for the Legal Industry: pilot study (data from Mexico, 2025). Law and Artificial Intelligence Laboratory, Universidad Panamericana; KermaPartners; Lemontech. https://labderia.up.edu.mx/en/legaltech-report