TRSKHOOB
An AI-native legal assistant that turns messy natural-language questions into precise, source-grounded consultation flows — in Persian.
Senior AI Engineer & Project Manager
Timeline
2024 — ongoing
Team
AI lead + backend + product design
Role
Senior AI Engineer & Project Manager
Overview
TRSKHOOB is a domain-specialised LLM product for the Iranian legal market. It gives citizens and junior practitioners a guided consultation surface — voice or text — that translates real questions into structured legal reasoning, jurisdiction-aware answers, and next-step actions.
The problem
Legal help in Persian is expensive, slow, and hard to trust. Existing chatbots hallucinate, ignore local codes, and lose the thread across a multi-turn consultation. Users needed something that behaved like a careful junior lawyer — not an autocomplete.
Approach
I led product architecture, prompt engineering strategy, and the backend that stitches retrieval, orchestration and voice pipelines together. The system routes each turn through intent classification, jurisdiction-aware retrieval over curated legal corpora, and a structured response contract that separates facts, reasoning and disclaimers.
— What I built
Key capabilities.
- 01Multi-turn consultation memory with jurisdiction and case-type routing
- 02Retrieval over curated Persian legal corpora with citation-aware answers
- 03Voice-in / voice-out pipeline for low-literacy accessibility
- 04Prompt orchestration layer with per-domain safety and refusal policies
- 05Operator dashboard for reviewing sessions and improving prompts in loop
— Outcomes
What shipped.
Consultation flows
20+
structured intents
Response contract
3-part
facts · reasoning · disclaimer
Modality
Voice + Text
Persian-first
— This project
Live and in production.
Open the live project or start a conversation about collaboration.
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