Chile's Chamber of Deputies built CAMINAR, a four-part generative-AI suite for bill drafting, transcription and regulatory-impact review, using closed authorised legal databases with mandatory human validation — deployed for the 2024 Budget Law, but unevaluated.
Details
Maturity
Pilot
Promoter
Cámara de Diputadas y Diputados de Chile (Information and Communications Technologies Directorate)
Period
2024–ongoing (launched June 2024; deployed for the November 2024 Budget Law)
Keywords
legislative drafting, regulatory impact analysis, parliamentary transcription, generative AI governance
Context
In June 2024, the Information and Communications Technologies Directorate of Chile's Chamber of Deputies presented CAMINAR ("Cámara Inteligencia Artificial"), a proprietary generative-AI suite built in a closed environment with four components: Caminar-L for legislative drafting, transcription, semantic search and regulatory impact assessments; Caminar-A for administrative support; Caminar-T for public information access; and Caminar-M, mobile apps for members and citizens.
Results
CAMINAR runs on authorised, vectorised legal databases with mandatory human validation before any output is released, and was deployed for the Chamber's November 2024 Budget Law proceedings; it is registered in Chile's public-algorithm registry (algoritmospublicos.cl) and was presented to the U.S. House of Representatives.
Conclusions
No quantitative performance data — bills processed, staff time saved, transcription accuracy, usage volume — has been published in any available source, and a sitting deputy has publicly questioned whether parliamentary staff are adequately trained to use the tools.
Implementation
Indicative cost
Medium (€50k–€500k) — Built in-house by the Chamber's own ICT Directorate in a closed/proprietary environment; no budget figures published.
Time to results
Short (< 1 year) — Presented June 2024; deployed for the November 2024 Budget Law; ongoing as of the source date with no published evaluation.
Staffing & skills
Information and Communications Technologies Directorate of Chile's Chamber of Deputies built and operates CAMINAR
Conditions for success
Mandatory human validation before any AI output is released
Use of authorised, vectorised legal databases with stated bias-mitigation and legal-hierarchy safeguards
Registration in Chile's public-algorithm registry (algoritmospublicos.cl)
Common failure modes
No quantitative performance data (bills processed, accuracy, time saved, usage volume) has been published
A sitting deputy (Érika Olivera) has publicly questioned whether staff are adequately trained to use the tools, an unresolved concern
The "most advanced in the world" framing is a self-assessment by Chamber leadership rather than an independent benchmark
Where it fits
Governance type
national legislature (Chamber of Deputies) in-house ICT unit
Scale
national parliament
Income level
high-income
Commonly funded by
National / regional programmes
Indicative funding routes for practices of this type — always check each programme's current calls and eligibility rules.
Do you run this practice?
Claim it —
verified implementers get a public contact pathway and can propose corrections.
Data sources
Where this practice's information was retrieved from, and when.
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