Kazakhstan: AI Justice System Offers Free, Fast Legal Help

Kazakhstan's AI justice system offers free, fast legal help, moving the country from pilot experiments to live algorithmic justice. The national AI platform, Engk Yeri, predicts court outcomes and provides legal guidance through its E-zan komegi mobile app. Users receive instant risk analysis, likely sentences, and procedural advice, with an option to connect to a human lawyer if the AI is uncertain. The system aims to increase legal access, enhance transparency, and reduce delays, while maintaining human oversight through strict regulatory safeguards.

What is Kazakhstan's Engk Yeri AI justice platform and how does it work?

Kazakhstan's Engk Yeri is a national AI platform that predicts likely court outcomes. Citizens submit legal questions via the E-zan komegi app, receiving instant risk scores, probable awards or sentences, and procedural advice. Human lawyers and AI-powered forensic tools enhance speed and transparency, with safeguards requiring human judicial oversight.

The Ministry of Justice has unveiled Engk Yeri, a national AI platform that predicts judicial rulings and offers free mobile consultations.
Through the E-zan komegi ("E-legal support") app, citizens can type a plain-language question and receive a risk score, a probable award or sentence, and step-by-step procedural advice within seconds.
If the algorithm identifies uncertainty, the user can be connected to a human lawyer at a call center.
Deputy Justice Minister Bekbolat Moldabekov stated the goal is to reduce legal research from days to minutes and minimize opportunities for informal payments.

"Users can submit questions through our artificial-intelligence system... callers can receive free legal consultations."
- Bekbolat Moldabekov, Deputy Minister of Justice

The platform's engine also streamlines forensic science.
Machine-vision modules first process ballistics, handwriting, and drug-sample tests. Experts then verify the AI-generated summary rather than repeating routine measurements.
According to industry reports, this process has significantly reduced lab turnaround times for drug cases.

How the prediction model works

The model was trained on several years of anonymized court data and refined by judges. It ingests thousands of new verdicts and legal documents daily to maintain accuracy. The system provides users with predictive scores for civil damages and criminal sentencing brackets, claiming high accuracy rates.

Data ingested daily	Volume	Update frequency
Published verdicts	Thousands of new rulings	Daily
Case metadata	Large volumes of files	Real time
Legal articles	Thousands of normative acts	Weekly

The supervised-learning model was trained on multiple years of anonymised court statistics and fine-tuned with feedback from volunteer judges.
The ministry claims high accuracy rates for civil damages and criminal sentencing brackets, though it has not published independent validation studies.

The system operates under the Law "On Artificial Intelligence", which defines any prediction tool as a "decision-support system," not a judicial author.
The law states that only a human judge can be held liable, and all algorithms must be logged, explainable, and auditable.
A Digital Code is expected to establish software copyright protections and a national data-trust framework for training future models.

Engk Yeri is already integrated with other state clouds. The linked eGov AI gateway has processed significant volumes of requests for tax, licensing, and social benefit portals, indicating the judiciary's system will not operate in isolation.

"Artificial intelligence will handle much of the process, and a forensic expert will only need to verify the results."
- Ministry briefing

Outside the courtroom, the platform is already influencing legal practices.
According to industry reports, Almaty law firms report a significant reduction in initial consultation times, as clients now arrive with AI-generated analyses.
Some practices have started renegotiating fixed fees, citing reduced research hours due to predictive analytics.
Citizens also gain negotiating power: suppliers facing breach-of-contract claims have reportedly used their risk scores to settle in pre-trial mediation, avoiding court entirely.

However, the rapid adoption has raised familiar concerns.
Courts across the Asia-Pacific region mandate "human-in-the-loop" safeguards. China's Supreme Court reaffirmed that algorithms must remain assistive only.
Kazakh officials maintain the same position, but disclosure rules for AI-generated insights are not yet finalized.
How the system notifies users when a prediction differs from a final verdict, and how these discrepancies are recorded, will be critical for building trust and preventing appeals based on technological bias.

For now, the ministry is focused on expanding access.
The platform plans to accept Kazakh-language voice notes and image uploads of case documents, making it accessible to more than just Russian-speaking urban users.
Integration with the national blockchain-based notary network is also planned, which could create an immutable ledger of predictions for future review.

If early performance metrics continue, future budget cycles may extend this architecture to tax tribunals and administrative offenses. This would transform Engk Yeri from a judicial experiment into the standard entry point for all citizen-government disputes.