Public preview · Accreditation
Certified AI Business of Law Professional
Confidentiality with AI, bias mitigation, duty of competence, informed consent, and state-bar guidance.
Understanding LLMs, generative vs. traditional AI, capabilities, limitations, hallucination, model selection for business-of-law work.
Policy design, oversight structures, audit trails, accountability — including partnership-specific governance dynamics.
Cost modeling, efficiency, value capture, profitability impact — beyond 'time saved.'
Impact of AI on billable hour, leverage, staffing pyramids, utilization, and realization. Automation vs. transformation.
Designing prompt workflows for pricing, finance, matter management, client communications, and KM.
Leading AI adoption in partnership structures: alignment, training, measurement, pilot-to-scale.
Data quality, governance, client-data handling, security, structured vs. unstructured data as competitive advantage.
Applying ethical frameworks to AI use in legal practice including bias, hallucination risk, and professional responsibility obligations
Establishing internal controls, audit trails, and supervision frameworks to manage AI-generated legal work product
Leveraging AI platforms to conduct case law research, statutory analysis, and regulatory review with accuracy and citation integrity
Applying AI tools to accelerate M&A and transactional due diligence, including document classification and risk flagging
Foundational understanding of computational law, logic-based legal rules, and machine-readable regulation as pioneered by Stanford CodeX
Using AI tools to draft, redline, and extract key clauses from commercial contracts and legal agreements
Understanding data protection obligations (GDPR, CCPA) in the context of AI tool deployment within law firms and legal departments
Understanding large language models and generative AI architectures as applied to legal workflows and document processing
Designing and refining prompts for legal research, drafting, and analysis using tools such as Harvey and ChatGPT
Evaluating, selecting, and implementing AI tools in law firms with a focus on business case development and measurable outcomes
Annual American Bar Association roundtable exploring AI programs and tools available to legal practitioners including ethics and practical implementation challenges
Practitioner roundtable convened through Harvey's academic programme with Stanford, NYU, Michigan and UCLA exploring real-world AI deployment in legal practice
Roundtable hosted alongside the Legal AI Conference focusing on responsible AI adoption, generative tools, and firm-wide transformation strategies
Full-day conference covering AI applications across practice areas including ethics, litigation support, and transactional use cases
Annual conference hosted by Stanford Center for Legal Informatics covering the intersection of law, technology, and computational legal reasoning
Pricing pathway competency. Self-assessed demonstration of on-the-job ability.
Operations pathway competency. Self-assessed demonstration of on-the-job ability.
Leadership pathway competency. Self-assessed demonstration of on-the-job ability.
Innovation pathway competency. Self-assessed demonstration of on-the-job ability.
Finance pathway competency. Self-assessed demonstration of on-the-job ability.
Knowledge Management pathway competency. Self-assessed demonstration of on-the-job ability.
Marketing pathway competency. Self-assessed demonstration of on-the-job ability.
Business Partnering pathway competency. Self-assessed demonstration of on-the-job ability.
TVPi-built workshop; Pricing pathway.
TVPi-built course; Pricing pathway.
Counts toward Finance pathway.
Berkeley AI executive program for legal professionals.
Vendor-led product training with substantive AI content.
Legal-ops focused; counts toward Operations pathway.
Cornell short executive course.
AI risk and governance certification.
Harvard executive program; counts toward Leadership pathway.
Strong governance and ethics coverage; counts toward Foundation.
AI audit and assurance certification.
Prompting and product certification.
Counts toward Pricing pathway.
Counts toward Innovation pathway.
Counts toward Operations pathway.
Stanford Law executive program covering AI strategy for legal leaders.
UC Law SF AI program.
Counts toward Leadership pathway.
Stanford Law course helping practitioners understand navigate and develop ethical best practices for a range of AI tools in legal research and practice
Self-paced online course from Stanford Law School equipping legal executives with skills to lead on strategic technical and governance dimensions of generative AI
Graduate-level course covering logic-based legal reasoning machine-readable rules and the design of computational legal systems led by CodeX faculty
Practitioner-focused workshop on unlocking generative AI potential through structured prompt design for drafting research and client communication
Hands-on certification course delivered through Harvey's law school partnership programme covering AI-assisted legal drafting research and document analysis
Three-day live online course from MIT teaching critical legal frameworks behind emerging technologies including AI liability, IP, and regulatory compliance
Introductory workshop in generative AI prompt engineering for legal contexts covering fundamentals of effective AI interaction and quality control
Public preview — submission writes to Airtable.