Muchangi P.

Key Skills

Software

Other

Top Subject Matter

Legal documents (entity extraction and classification)

AI training for information extraction and multimodal AI concepts

Legal Services & Contract Review

Top Data Types

Document

Image

Text

Top Task Types

Classification

Entity (NER) Classification

Freelancer Overview

Independent Legal Practitioner - Independent Legal Practice. Brings 10+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Other. Education includes Post-Graduate Diploma in Law, Kenya School of Law (2014) and Bachelor of Laws, University of Nairobi (2012). AI-training focus includes data types such as Document and Image and labeling workflows including Entity (NER), Evaluation, and Rating.

Labeling Experience

Independent Legal Practitioner - Independent Legal Practice

ImageClassificationEntity (NER) Classification

Provided independent legal services including analysis, classification, and quality review of legal documents to support advisory and litigation needs. Applied structured frameworks to organize complex case materials and ensure accuracy, completeness, and consistency across outputs. Delivered concise summaries and metadata while supporting research and evidence review using professional legal judgment. • Reviewed and analyzed thousands of legal documents • Extracted entities, facts, legal issues, and procedural information • Conducted consistency, compliance, and quality assurance checks • Produced structured summaries, metadata, and organized digital repositories

2017 - Present

Independent Legal Practice — AI training & data annotation oriented legal document labeling (2017–Present)

OtherDocument

Annotated and extracted entities, facts, legal issues, outcomes, and procedural information from thousands of legal documents. Applied structured classification frameworks to categorize legal matters, evidence, and case records into consistent labels. Conducted quality assurance checks to detect inconsistencies, omissions, inaccuracies, and compliance issues.• Extracted entities and key legal elements from unstructured documents• Labeled and categorized legal matters using rule-based decision frameworks• Performed QA review for label consistency and factual correctness• Produced concise summaries and structured metadata for downstream use

2017 - Present

AI Concepts for Developers and Technology Professionals — Microsoft Learn (June 2026)

OtherDocument

Completed Microsoft Learn training modules covering fundamentals of generative AI and NLP alongside introductions to AI-powered information extraction and related domains. Included computer vision and speech AI concepts plus an Azure AI “Get started” and development planning track. All module assessments were successfully passed.• Learned generative AI fundamentals• Studied NLP and information extraction concepts• Covered computer vision and speech AI basics• Completed Azure AI onboarding and development planning modules

2026 - 2026

Education

Work History