Mohammed El Fallahi

Key Skills

Software

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Document

Top Task Types

Data Collection

Question Answering

Text Summarization

Translation Localization

Freelancer Overview

With a strong foundation in legal analysis and multilingual drafting, I bring precision, critical thinking, and domain-specific knowledge to AI training and data labeling. My expertise spans legal documentation (contracts, litigation records, regulatory texts), public procurement, and customer service dialogue annotation, particularly in highly regulated sectors such as finance, aviation, and public health. I have a proven ability to extract key insights from complex materials and ensure consistency, clarity, and accuracy—essential skills for training Natural Language Processing (NLP) models. My trilingual proficiency in Arabic, French, and English further enhances my ability to label and structure diverse datasets across different legal and cultural contexts.

Labeling Experience

Multilingual Legal Document Annotation for Contract Intelligence Models

Scale AITextEntity Ner ClassificationRelationship

This project involved annotating and structuring legal and financial documents to support the training of Natural Language Processing (NLP) models for contract review, regulatory compliance, and automated legal assistance. Tasks included identifying and classifying key entities (e.g., parties, dates, obligations), mapping legal relationships (e.g., guarantor-lender), and summarizing clauses for AI comprehension. Additionally, I participated in multilingual annotation (French, Arabic, English), focused on Moroccan, EU, and OHADA legal systems. Emphasis was placed on high accuracy, cross-checking annotations, and adhering to legal logic and risk factors. Annotated over 2,000 legal pages across contract types such as MRO agreements, GMRA/ISDA derivatives, public tender files, and corporate statutes.

This project involved annotating and structuring legal and financial documents to support the training of Natural Language Processing (NLP) models for contract review, regulatory compliance, and automated legal assistance. Tasks included identifying and classifying key entities (e.g., parties, dates, obligations), mapping legal relationships (e.g., guarantor-lender), and summarizing clauses for AI comprehension. Additionally, I participated in multilingual annotation (French, Arabic, English), focused on Moroccan, EU, and OHADA legal systems. Emphasis was placed on high accuracy, cross-checking annotations, and adhering to legal logic and risk factors. Annotated over 2,000 legal pages across contract types such as MRO agreements, GMRA/ISDA derivatives, public tender files, and corporate statutes.

2023 - 2024

Education

Work History