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Good practice Imported

LexAI — Uzbekistan's State-Run AI Legal Assistant for Legislative Research and Drafting

Uzbekistan · Tashkent · See the Uzbekistan profile · See the Tashkent profile

Evidence: Descriptive / self-reported Top 88% 33/100 · Ask Evidence Copilot about this practice

Uzbekistan's Ministry of Justice built LexAI, the country's first state-run legal AI assistant, analysing 34,000+ regulatory documents to power a chatbot, drafting tool and review service in the national Lex.uz legislative database.

34,000+ documents
Regulatory documents analysed to build LexAI's knowledge base (2024, over approx. 5 months)
LexAI — Uzbekistan's State-Run AI Legal Assistant for Legislative Research and Drafting

Details

Promoter
Ministry of Justice of the Republic of Uzbekistan (Legal Information Center, Lex.uz)
Period
2024–2025 (phased rollout; full public launch targeted January 2025)
Keywords
legal AI, legislative research, legal drafting, regulatory review, natural-language legal search

Context

In 2024, Uzbekistan's Ministry of Justice, through its Legal Information Center, began building LexAI, described as the country's first state-run legal AI assistant. Integrated into the national Lex.uz legislative database, LexAI combines a citizen- and lawyer-facing chatbot, a 'document builder' for drafting legal texts, and an automated review service for new regulatory acts, with a full public launch targeted for January 2025.

Activities

To power its responses, LexAI's developers analysed more than 34,000 current regulatory documents over roughly five months. Information Technologies Minister Sherzod Shermatov presented the platform as part of a presidential directive to integrate AI 'across all sectors' of government.

Results

The public figures available describe the size of the knowledge base built for the tool (over 34,000 regulatory documents analysed), not a measured outcome.

Conclusions

No independent, government-external evaluation of LexAI's answer accuracy or usage volume (queries per day, user satisfaction, error rates) has been published; this should be read as a documented launch rather than an evaluated impact.

Implementation
Indicative cost
Medium (€50k–€500k)
Time to results
Medium (1–3 years)

Commonly funded by

National / regional programmes

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Data sources

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