| Location | Los Angeles, California |
Director of Technology & Artificial Intelligence (AI)
Position Overview
Farahi Law Firm is an award-winning personal injury firm dedicated to fighting for the injured and delivering exceptional legal representation. We are a fast-growing, client-centric team that values aggressive advocacy, innovation, and community impact. We are seeking an experienced We are seeking a strategic, innovative, and results-driven Director of Technology & Artificial Intelligence (AI) to lead the organization's technology strategy, AI transformation, systems integration, and digital innovation initiatives.
This position will be responsible for identifying, developing, and implementing technology and AI-driven solutions that streamline legal operations, improve employee productivity, enhance decision-making, and support business growth.
The ideal candidate combines strong technical expertise with business leadership, hands-on AI implementation experience, and the ability to translate emerging technologies into measurable operational improvements.
A key requirement is familiarity with AI-driven tools, including ChatGPT, and the ability to integrate such technologies into the training process, along with strong experience with Learning Management Systems (LMS).
1. Technology Strategy & Leadership
Develop and execute a comprehensive technology and AI roadmap aligned with organizational objectives.
Lead technology modernization, digital transformation, and operational automation initiatives.
Evaluate existing platforms, infrastructure, and systems to identify opportunities for improvement.
Establish technology governance, performance standards, and scalable technology solutions.
Collaborate directly with executive leadership on strategic technology investments and priorities.
2. Artificial Intelligence & Automation
Lead the adoption and integration of AI technologies across departments, including Legal Operations, Intake, Marketing, Finance, Recruitment, and Human Resources.
Identify opportunities to automate repetitive processes, reduce manual workloads, and increase operational efficiency.
Design and oversee AI-powered workflows, intelligent assistants, document processing, and predictive analytics solutions.
Evaluate AI tools, including large language models (LLMs), generative AI applications, and automation platforms.
Establish AI governance standards addressing accuracy, privacy, security, human oversight, and responsible use.
Measure AI initiatives based on productivity improvements, cost savings, adoption rates, and business impact.
3. Systems Integration & Infrastructure
Oversee the integration, optimization, and maintenance of enterprise systems and technology platforms.
Ensure reliable data flow between case management, CRM, HR, recruitment, finance, and communication systems.
Direct technology infrastructure improvements, system upgrades, and vendor integrations.
Establish standards for data quality, system reliability, scalability, and business continuity.
Partner with IT personnel and external technology providers to resolve critical technical challenges.
4. Cybersecurity, Compliance & Risk Management
Develop and implement information security strategies to protect confidential company and client information.
Ensure AI and technology initiatives comply with applicable privacy, cybersecurity, and legal industry requirements.
Oversee access management, data protection, vendor security assessments, and technology risk mitigation.
Establish incident response, disaster recovery, and business continuity procedures.
Ensure appropriate safeguards for confidential and privileged information processed through AI systems.
5. Technology Team & Vendor Management
Lead, mentor, and develop technology, IT, automation, and AI specialists.
Establish measurable team objectives, accountability standards, and performance metrics.
Evaluate technology vendors, software providers, and external development partners.
Manage technology budgets, software licensing, vendor contracts, and overall technology expenditures.
Promote a culture of continuous improvement, innovation, and cross-functional collaboration.
6. Business Process Optimization
Partner with department leaders to understand operational challenges and identify technology-driven solutions.
Implement AI-enabled process improvements supporting faster case handling, stronger reporting, and better service delivery.
Develop reporting dashboards and data analytics capabilities for leadership.
Drive technology adoption through structured implementation, training, and change management.
Prioritize projects based on feasibility, return on investment, business impact, and operational urgency.
Bachelor's degree in Computer Science, Information Technology, Artificial Intelligence, Engineering, or a related field.
Minimum of 8–10 years of progressive experience in technology, IT leadership, software engineering, or digital transformation.
At least 3–5 years of experience leading technology teams, AI initiatives, or enterprise automation projects.
Demonstrated success implementing AI-powered solutions and integrating enterprise technology systems.
Strong understanding of generative AI, LLMs, API integrations, workflow automation, and data analytics.
Experience overseeing cybersecurity, cloud infrastructure, vendor management, and technology budgets.
Proven ability to develop technology strategies that generate measurable business results.
Strong executive communication, stakeholder management, and organizational leadership skills.
Experience in legal services, professional services, or other highly regulated industries.
Knowledge of legal technology platforms, including case management software such as Filevine.
Experience with AI development frameworks, Python, SQL, cloud services, and enterprise API integrations.
Familiarity with document intelligence, AI agents, retrieval-augmented generation (RAG), and intelligent process automation.
Certifications or advanced education in AI, technology leadership, cloud architecture, cybersecurity, or project management.
Experience managing technology initiatives across geographically distributed teams.