Christian Brown

About Christian Brown

I’m a Senior Legal Knowledge Engineer at Agiloft (CLM) and the Founder of Code & Counsel, where I help law firms and startups integrate AI/ML, LLMs, and business intelligence (BI) into their legal operations.Over 13+ years, I’ve built a unique career at the intersection of law, fintech, and technology. At a leading residential mortgage fintech, I directed legal due diligence and risk for $60B+ in assets while building out a business intelligence and MLOps platform. I designed data pipelines with SQL and Power BI, architected LLM-driven decisioning engines, and oversaw the integration of machine learning and artificial intelligence into asset management and compliance.As Managing Director and In-House Counsel, I founded the company’s BI division and led R&D into large language models, retrieval-augmented generation (RAG), and agent-based automation—bridging executive decision-making with technical implementation. Before that, as Senior Director in Asset Management, I deployed a custom ML/AI system for $20B in mortgage assets, combining deep legal expertise with scalable engineering solutions.Earlier in my career, I practiced as a consumer finance associate at an AmLaw 250 firm and as a Vice President at a Fortune 500 bank, experiences that ground my technology leadership in the realities of regulation, litigation, and client advocacy.With recognized expertise in legal engineering, prompt engineering, A/B testing, AI governance, CLM solutions, and legal automation, I now focus on helping attorneys and legal professionals translate their knowledge into AI-enabled workflows that are technically sophisticated, reliable, and aligned with real legal practice.

Experience

1. Senior Legal Knowledge Engineer

   Agiloft

   Feb 2025 — Present

   Train and evaluate large language models (LLMs) to extract complex legal and business concepts from diverse agreements, using annotation pipelines, prompt engineering, and context engineering to improve accuracy and domain relevance.• Design and test AI-powered CLM product features, ensuring that retrieval-augmented generation (RAG), embeddings, and contextual prompts are aligned with the workflows and needs of legal professionals.• Act as a subject matter expert in legal knowledge engineering, advising product and engineering teams on context-aware AI design, AI governance, and contract intelligence use cases.• Identify and implement process improvements across annotation, model evaluation, and MLOps pipelines to drive efficiency, scalability, and best practices in legal AI deployment.

Education

• Texas A&M University

  Bachelor of Arts, Psychology

  2004 — 2008

• Baylor University School of Law

  J.D., Litigation

  2008 — 2011

Skills

• Teaching
• Contract Negotiation
• Legal
• Customer Service
• Writing
• Litigation Management
• Problem Solving
• Word
• Windows
• Legal Issues
• Retail
• Customer Relations
• Teamwork
• Trials
• Photoshop
• Legal Assistance
• Civil Litigation
• Research
• Powerpoint
• Microsoft Excel
• Negotiation
• Courts
• Legal Compliance
• Mediation
• Commercial Litigation
• Social Networking
• Foreclosures
• Apple Macintosh
• Documentation
• Legal Advice
• Loan Servicing
• Microsoft Powerpoint
• Team Building
• Hearings
• Excel
• Legal Liability
• Education
• Microsoft Office
• Legal Research
• Microsoft Word