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Samer Hany

Arabic-First Legal AI Workspace (Khaldun)

A workspace for law firms working primarily in Arabic, where generic AI tools handle the language poorly and understand the practice not at all. Matter records, a firm knowledge base, and document storage sit under semantic search, drafting assistance, and translation, with configurable agent workflows for the repeatable parts of legal work. Retrieval is grounded in the firm's own material rather than a general model's recollection.

This public demo was created after a real private project and rebuilt to highlight a specific concept or tool without exposing the original system, data, or proprietary workflow. It is fully working, and you are welcome to try it.

Arabic-First Legal AI Workspace (Khaldun) interface

A closer look

The assistant in conversation, answering a question about the firm's own matters.
Semantic search across the firm's documents, returning passages rather than filenames.
Retrieval runs over the firm's material, so an answer can be traced to the document it came from.
Drafting assistance, producing a document section that the lawyer then edits.
The workflow builder, where a firm configures an agent for a repeatable task.
Translation between Arabic and English, preserving the structure of the document.
The matters list, showing active cases with their documents and status.

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