Artificial Intelligence in Brazilian Courts: Historical Evidence, a Proposed Framework and Effectiveness Index

DIMENSIONS (d_i)	SUBDIMENSIONS	VARIABLES (v_n)	SCORE
Environment	• External	(v₁) Universities	2.5
		(v₂) Exogenous solution	2.5
		(v₃) Inter-courts experience	2.5
		(v₄) Private companies	2.5
	• Internal	(v₅) Internal events	2.0
		(v₆) Endogenous solution	2.0
		(v₇) Individual research	2.0
		(v₈) Innovation laboratories	4.0
		d₁	20.0
Reliability	• Ethic	(v₉) Future of work	3.5
	• Ethic	(v₁₀) Intellectual activities	3.5
	• Transparency	(v₁₁) Accountability	6.0
	• Data management	(v₁₂) Problem definition	3.5
		(v₁₃) Data accuracy	3.5
		(v₁₄) More automation than AI	0
		d₂	20.0
Autonomy	• Responsibilities	(v₁₅) Suggestions for legal acts	10.0
Autonomy	• Skills	(v₁₆) Autonomous resolution	10.0
		d₃	20.0
Technics	• Tools	(v₁₇) Initial thematic screening	5.0
	• Tools	(v₁₈) Other AI applications	5.0
	• Training	(v₁₉) Training	5.0
	• Black box	(v₂₀) Algorithm knowledge	5.0
		d₄	20.0
Results	• Efficiency	(v₂₁) Measurement	5.0
	• Efficacy	(v₂₂) Strategic alignment	5.0
	• Impacts	(v₂₃) Sharing	10.0
		d₅	20.0
		$\sum d_{i}$	100.0

Table 2

The i – Eff valuation scale.

NOTE	DESCRIPTION	CRITERION
A	Highly effectiveness	i – Eff ≥ 90%
B	Very effectiveness	75% ≤ i – Eff < 90%
C	Medium effectiveness	50% ≤ i – Eff < 75%
D	Lower effectiveness	25% ≤ i – Eff < 50%
E	No effectiveness	i – Eff < 25%

Table 3

Environmental dimension data.

SUB-DIMENSION	VARIABLES	COURTS
SUB-DIMENSION	VARIABLES	1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16
• External	(v₁) Universities	2.5	0	0	0	0	0	2.5	0	0	2.5	0	0	0	0	0	0
	(v₂) Exogenous solution	0	2.5	0	0	0	0	0	0	0	0	0	0	0	0	0	0
	(v₃) Inter-court experience	0	0	0	2.5	0	0	0	0	0	0	0	0	0	0	0	2.5
	(v₄) Private companies	0	2.5	0	0	0	0	0	0	0	0	0	0	0	0	0	0
• Internal	(v₅) Internal events	0	0	0	2.0	0	2.0	0	0	0	0	0	0	2.0	0	0	0
	(v₆) Endogenous solution	2	0	2.0	0	0	0	0	0	2.0	0	2.0	0	0	2.0	0	2.0
	(v₇) Individual research	2.0	0	0	0	2.0	2.0	2.0	2.0	2.0	0	0	0	0	0	2.0	0
	(v₈) Innovation laboratories	0	0	4.0	0	0	0	4.0	0	0	4.0	0	4.0	0	0	4.0	0
	d₁	6.5	5.0	6.0	4.5	2.0	4.0	8.5	2.0	4.0	6.5	2.0	4.0	2.0	2.0	6.0	4.5

Table 4

Reliability dimension data.

SUB-DIMENSION	VARIABLES	COURTS
SUB-DIMENSION	VARIABLES	1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16
• Ethic	(v₉) Future of work	3.5	3.5	3.5	0	3.5	0	0	0	0	0	0	3.5	0	3.5	0	3.5
• Ethic	(v₁₀) Intellectual activities	3.5	0	0	0	3.5	3.5	0	3.5	3.5	0	3.5	0	0	0	0	0
• Transparency	(v₁₁) Accounta-bility	6.0	0	6.0	6.0	6.0	6.0	6.0	0	6.0	0	6.0	6.0	0	0	6.0	6.0
• Data management	(v₁₂) Internal events	0	3.5	0	0	0	0	0	0	3.5	3.5	3.5	0	3.5	3.5	0	3.5
	(v₁₃) Endogenous solution	3.5	0	0	3.5	3.5	0	3.5	0	3.5	3.5	0	0	0	3.5	0	0
	(v₁₄) More auto-mation than AI	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
	d₂	16.5	7.0	9.5	9.5	16.5	9.5	9.5	10.5	16.5	3.5	9.5	13.0	7.0	10.5	6.0	13.0

Table 5

Autonomy dimension data.

SUB-DIMENSION	VARIABLES	COURTS
SUB-DIMENSION	VARIABLES	1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16
• Responsibilities	(v₁₅) Suggestions for legal acts	10.0	10.0	0	10.0	0	10.0	0	0	10.0	10.0	0	0	0	10.0	10.0	0
• Skills	(v₁₆) Autonomous resolution	0	0	0	0	0	0	0	0	10.0	0	0	10.0	0	0	10.0	0
	d₃	10.0	10.0	0	10.0	0	10.0	0	0	20.0	10.0	0	10.0	0	10.0	20.0	0

Table 6

Technical dimension data.

SUB-DIMENSION	VARIABLES	COURTS
SUB-DIMENSION	VARIABLES	1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16
• Tools	(v₁₇) Initial thematic screening	5.0	0	5.0	5.0	0	5.0	0	5.0	5.0	0	5.0	0	5.0	0	0	5.0
• Tools	(v₁₈) Other AI applications	0	5.0	0	0	5.0	0	5.0	0	0	5.0	0	5.0	0	5.0	5.0	0
• Training	(v₁₉) Training	5.0	5.0	5.0	5.0	5.0	0	0	5.0	5.0	0	5.0	5.0	0	0	5.0	5.0
• Black box	(v₂₀) Algorithm knowledge	5.0	5.0	0	0	0	0	0	0	0	0	5.0	0	0	0	0	0
	d₄	15.0	15.0	10.0	10.0	10.0	5.0	5.0	10.0	10.0	5.0	15.0	10.0	5.0	5.0	10.0	10.0

Table 7

Results dimension data.

SUB-DIMENSION	VARIABLES	COURTS
SUB-DIMENSION	VARIABLES	1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16
• Efficiency	(v₂₁) Measurement	0	5.0	0	0	0	0	0	0	0	0	0	5.0	5.0	0	0	0
• Efficacy	(v₂₂) Strategic alignment	0	0	0	0	0	5.0	0	0	5.0	0	0	5.0	0	0	5.0	0
• Impacts	(v₂₃) Sharing	10.0	10.0	0	10.0	10.0	0	0	0	0	10.0	10.0	0	0	0	0	10.0
	d₅	10.0	15.0	0	10.0	10.0	5.0	0	0	5.0	10.0	10.0	10.0	5.0	0	5.0	10.0

Table 8

Effectiveness index data.

DIMENSION	COURTS
DIMENSION	1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16
Environment	6.5	5.0	6.0	4.5	2.0	8.5	8.5	2.0	4.0	6.5	2.0	4.0	2.0	2.0	6.0	4.5
Reliability	16.5	7.0	9.5	9.5	16.5	9.5	9.5	10.5	16.5	3.5	9.5	13.0	7.0	10.5	6.0	13.0
Autonomy	10.0	10.0	0	10.0	0	10.0	0	0	20.0	10.0	0	10.0	0	10.0	20.0	0
Technics	15.0	15.0	10.0	10.0	10.0	5.0	5.0	10.0	10.0	5.0	15.0	10.0	5.0	5.0	10.0	10.0
Results	10.0	15.0	0	10.0	10.0	5.0	0	0	5.0	10.0	10.0	10.0	5.0	0	5.0	10.0
Total	58.0	52.0	25.5	44.0	38.5	33.5	23.0	22.5	55.5	35.0	36.5	47.0	19.0	27.5	47.0	37.5
i – Eff	58%	52%	26%	44%	39%	34%	23%	23%	56%	35%	37%	47%	19%	28%	47%	38%
Grade	C	C	D	D	D	D	E	E	C	D	D	D	E	D	D	D

Articles in this issue

DOI: https://doi.org/10.36745/ijca.647 | Journal eISSN: 2156-7964

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Language: English

Page range: 2 - 2

Published on: Feb 5, 2026

Published by: International Association for Court Administration

In partnership with: Paradigm Publishing Services

Keywords:

artificial intelligence,

courts,

© 2026 Ricardo Augusto Ferreira e Silva, Marcos de Moraes Sousa, Woska Pires da Costa, Antonio Isidro-Filho, published by International Association for Court Administration
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 16 (2025): Issue 3

Artificial Intelligence in Brazilian Courts: Historical Evidence, a Proposed Framework and Effectiveness Index

Figures & Tables

Figure 1

Table 1

Table 2

Figure 2

Figure 3