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Perle White Paper: Breaking Language Barriers in Legal AI

How Expert-Led Arabic Datasets Improve Accuracy, Safety, and Trust in LLMs

A 18-page research white paper from Perle, focused on improving AI for complex language challenges.  Authored by Sajjad Abdoli,  Ph.D., Founding AI Scientist, Perle


Perle + DataSeeds

Peer-Ranked Precision

Creating a Foundational Dataset for Vision Models from GuruShots’ Annotated Imagery
Steps
Perle + DataSeeds.ai

As generative AI expands into regulated industries, traditional models often fall short-especially when applied to complex languages like Arabic.AI development is moving beyond just bigger models. The key to progress today is high-quality, richly annotated data.

Perle's new white paper explores key challenges large language models face when working with Arabic text, including dialectal nuance and domain-specific vocabulary. It uses legal documents as a case study to illustrate these issues-highlighting how structured data, native expert input, and task-specific fine-tuning can improve performance in complex language contexts.

This white paper covers:

Why Arabic-language tasks challenge most general-purpose LLMs

Our pipeline for clause extraction, contract summarization, and Arabic legal Q&A

Benchmarks across GPT-4, LLaMA, Aya, and C4AI's new Arabic model

A preview of our interactive tools: semantic Q&A and query similarity graph

Download the paper to see how high-quality, domain-specific data is unlocking the next frontier of legal AI in Arabic.

Free Copy

Download the White Paper

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Perle

Perle helps AI teams move from prototype to production faster by delivering high-quality, multimodal training data through expert-led, AI-assisted workflows.

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DataSeeds.ai

DataSeeds.AI provides on-demand and off-the-shelf image & video datasets with detailed metadata, perfect for AI model training. Our global creator network and extensive catalog deliver rapid, diverse data collection and swift, scalable solutions to accelerate your AI projects.

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