
Customer
Industry
Legal technology
Use case
Parsing scanned contracts and legal documents for contract review
Primary integration
LexSelect API inside instaSpace’s contract platform
In instaSpace’s tests, Google cut off 7 of 16 sample files, leaving more than a third of the pages unread. LexSelect processed every page with no cut-offs and recovered about 50% more text, including an 81-page Arabic exhibit bundle that it also split into 24 labelled sub-documents.
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Templated legal forms got cut off
Google’s OCR applies a content filter that stops transcribing when the output looks like reproduced boilerplate. Standard legal forms and pleadings trigger it, so files often stopped after the first page or two.

Arabic and long files broke
Other tools capped processing at 50 pages and returned Arabic in scrambled reading order. Very large scans were a challenge too.

Hard documents broke contract review
The previous parser gave instaSpace little control over document structure, so key-term extraction and table review struggled on documents that were hard to parse.

Engineering time went into infrastructure
OCR, page handling, language support and edge cases in scans all needed the team’s attention.
1. Sandbox test
Tested LexSelect in a development sandbox on their own documents, starting with Arabic and bilingual contracts.
2. 16-file test
Ran a representative set of 16 files through it to check coverage and speed: scans and text PDFs, English and Arabic, 1 to 158 pages.
3. Production
Moved PDFs and scans to LexSelect in production, keeping the previous pipeline as a backup.


For lawyers using instaSpace
Scans now arrive as fully usable documents, not just text. Because LexSelect returns the position of every line, the assistant highlights the exact lines on the scanned page when it cites a passage. That wasn’t possible with the text-only OCR they used before.

For the instaSpace team
Document extraction is no longer something they build and maintain, so engineers can focus on legal workflows, drafting and review.

We chose LexSelect to replace our existing OCR pipeline. The processing speed impressed us immediately, and Arabic support was essential given that most of our documents are Arabic or bilingual. Impressive evaluation results gave us the confidence to move forward.
Aseel Al Rawahi,
Co-founder & CTO, instaSpace
Co-founder & CTO, instaSpace


