Legal Arabic, where one missing mark changes the meaning
Documents where a missing detail changes the outcome
Legal teams work with contracts, filings and classical or diacritic-sensitive text where a missing detail changes the outcome. Document intelligence and diacritization matter more here than almost anywhere else.
Why precision is the entire requirement here
Undiacritized Arabic is ambiguous by default, and in a contract or a filing that ambiguity is not a linguistic curiosity. It is a different obligation. Our models are trained on the structure of Arabic rather than adapted to it: Baseer preserves a document's layout instead of flattening it, Sadeed resolves vowel ambiguity from the sentence around a word, and Mutarjim was built to hold meaning across legal and technical text rather than to read fluently and approximately.
Structure survives the scan
Baseer reads columns, tables and layout hierarchy and returns clean Markdown, so a scanned contract stays a contract downstream instead of becoming a wall of characters.
Ambiguity resolved from context
Sadeed restores Tashkeel by reading the grammar and meaning of the whole sentence. That is the difference between two identical-looking words inside a clause that binds someone.
Privileged material stays in-house
Everything here deploys on-premises. Client files, filings and strategy do not need to cross a boundary for the capability to be available.
What legal teams deploy
- Document intelligence
Contracts and filings read structurally, not photographed.
Arabic OCR is genuinely hard: cursive script, diverse fonts, diacritics, right-to-left orientation, regional typographic variation. Baseer is a vision-language model fine-tuned for exactly that, and it outputs clean Markdown that preserves the document's own hierarchy. Baseer Extract then returns the clauses, dates and parties as fields an existing system can take.
Document Intelligence - Translation and diacritization
Meaning preserved across languages, and restored within one.
Mutarjim handles long, complex sentences in both directions and was built to hold up on demanding domains rather than to read smoothly. Sadeed puts the diacritics back, so search indexes, translation and downstream analysis are working from unambiguous text in the first place instead of guessing at it.
Translation & Localization - Enterprise search
A question answered from your own case files.
Retrieval over internal document stores, with Arabic handled by the Kawn-Embed family, returns the passage and the file it came from rather than a paraphrase with no provenance. It runs inside your environment, which is what makes it usable on privileged material at all.
Enterprise Search & RAG
Deployment and confidentiality
Everything on this page deploys on-premises, so privileged material never has to cross a boundary for the capability to be available. The Trust Center sets out data residency, access control and the deployment options in full.
Let's talk about what you're trying to build.
Tell us the problem. We'll tell you honestly whether AI is the right answer.