Professional Profile
Attorney and Doctor of Law and Economics with 20+ years in transactional practice. A rare pairing: deep legal expertise in M&A, real estate, and structured finance, combined with doctoral research in AI-based risk modeling and regulatory compliance. Builds AI and LLM tooling that operationalizes legal practice at scale. Lectures at leading universities on AI in legal and economic decision-making. Licensed notary and certified mediator.
Core Competencies
M&A & Corporate Transactions
End-to-end deal support: legal and commercial due diligence, term sheets, definitive agreements, share purchase and acquisition documents, investment structures. Economic analysis and risk modeling in every phase.
Legal Operations & AI Tooling
Designs and deploys AI systems that scale contract and due-diligence review. Architect of the LALUM Legal Engine. Builds templates, approval workflows, delegation-of-authority frameworks, and playbooks.
Regulatory Compliance & Economic Analysis
Tracks legal and regulatory developments (GDPR, EU AI Act, Privacy Law Amendment 13, AI governance). Assesses information systems and AI deployments against risk criteria using the proprietary RECIR framework.
Technology & SaaS Contracting
Negotiates enterprise agreements directly against corporate procurement and legal departments. Authored a 200+ clause risk matrix for tech licensing and vendor agreements.
Real Estate & Urban Renewal
Accompanies acquisitions, development, and urban renewal transactions end to end. Author of a three-volume TAMA 38 guidebook. Managed 15+ TAMA 38 and pinui-binui projects through approval and financial close.
Teaching & Thought Leadership
Lecturer at Tel Aviv University, University of Córdoba, and University of Seville. Keynotes on AI in legal and economic decision-making. Co-author of peer-reviewed research on AI-based real estate investment risk modeling.
Technical & AI Skills
Legal AI Tooling
LLM-based contract and due-diligence review systems; Anthropic Claude API; Model Context Protocol (MCP); retrieval-augmented generation (RAG) and vector databases; architect of the LALUM Legal Engine.
Applied AI / Machine Learning
Machine-learning risk modeling in Python; explainable AI; feature-importance and model-evaluation methods; neural-network design for legal classification tasks.
Original Frameworks
RECIR (regulatory, explainable AI-risk framework) and SRME (structured risk-modeling engine), developed through doctoral research at the University of Córdoba.
Professional Experience
Founder & Managing Partner, Lalum & Co., Law Firm
2006 to present- Represent public sector entities and large corporations in M&A, investment, financing, real estate, and dispute matters. Built and scaled the firm from solo to a multi-attorney operation.
- Designed internal legal operations infrastructure: templates, contract repositories, approval workflows, risk-tracking playbooks. Deployed AI-powered contract and due-diligence review systems that reduce manual review time by 80%.
- Accompanied 150+ corporate transactions: due diligence, term sheets, definitive agreements, post-closing integration. Managed external counsel across multi-jurisdictional deals (Cyprus, Greece, Georgia, U.S.).
- Structured and negotiated project finance, construction finance, mezzanine, bridge, and refinancing arrangements. Acted for and opposite banks and insurance companies.
- Drafted, reviewed, and negotiated 500+ commercial, investment, partnership, and SaaS agreements. Built risk matrices and negotiation playbooks for enterprise technology licensing.
- Advised boards and management on corporate structure, governance, compliance, and labor law. Handled company formation, equity documentation, and capital raises.
- Provide expert opinions and serve as mediator and arbitrator in complex commercial, corporate, and property disputes.
Selected Publications & Research
Professional Treatises
- Guidebook on National Outline Plan 38 (TAMA 38) Transactions, three-volume edition (2020). Urban Renewal: A Practical Guide, updated edition (2025).
- Limits of Judicial Intervention in Standard Contracts (2012). Guide to Standard Contracts (2017). The Decision Room: Conflict, Clarity & Change (2025).
Peer-Reviewed Articles (Scopus / JCR)
- Lalum, A., Caridad López del Río, L., & Ceular Villamandos, N. (2025). Multi-Dimensional AI-Based Modeling of Real Estate Investment Risk: A Regulatory and Explainable Framework. Mathematics, 13(21), 3413.
- Lalum, A., et al. (2024). Synthetic Reality Mapping of Real Estate Investment Portfolios. SN Business & Economics.
Governance & Leadership
Volunteer Police Officer, Readiness Company Commander, Israel Police
presentCommand the regional readiness company with operational responsibility for nine squads.
Deputy Chair, Israel Bar Association
2015 to 2023Built and advanced national professional-governance reforms and legislation in cooperation with the Ministry of Justice.
Member, City Council, City of Netanya
2003 to 2008Chair, Cities Association for Environmental Quality.
Teaching & Thought Leadership
- Lecturer, Tel Aviv University (2023 to 2025): law, artificial intelligence, and conflict resolution.
- Guest Lecturer, University of Córdoba & University of Seville, Spain (2023 to 2025): AI in legal and economic decision-making.
- Senior Lecturer (Shaarei Mishpat, Fishman Real Estate Center, Western Galilee College): AI & law, contract law, law & economics, dispute resolution.
Education & Admissions
Ph.D. in Law & Economics, University of Córdoba, Spain
2021 to 2026Doctoral research at the intersection of AI, law, and economics; explainable AI-based risk modeling and regulatory compliance.
LL.M., Master of Laws, Tel Aviv University & UC Berkeley (Joint Program)
2013 to 2015LL.B., Bachelor of Laws, Netanya Academic College
2001 to 2005Licensed Attorney & Notary, Israel Bar Association (2006); Certified Mediator.
Languages
Hebrew (native) · English (full professional proficiency)