Technology Counsel for AI Products

Practical legal judgement across the AI product lifecycle.

Follow an AI product from initial scoping through data use, impact assessment, vendor review, contracting, product requirements, deployment, monitoring and incident response.

Learning outcomes

Advice that can be used in practice.

The aim is to help lawyers understand enough about the system in front of them to ask better questions and give advice that can be implemented.

01
Describe an AI system and its lifecycle in terms that legal, product and management teams can use.
02
Map legal requirements, data flows, responsibility and evidence across the product lifecycle.
03
Assess suppliers, contractual positions, impact assessments and cross-border deployment risks.
04
Turn legal advice into workable product requirements, governance controls and monitoring arrangements.
05
Give management a clear, reasoned recommendation supported by the relevant evidence.

Programme modules

From system discovery to board advice.

Each module connects legal analysis to the decisions, documents and evidence needed across the AI lifecycle.

Module 1

Understanding AI Products

Distinguish models, applications and agents, then prepare a plain-language system description and map.

Module 2

Managing the AI Product Lifecycle

Structure decisions, evidence and responsibility from problem definition through deployment, change and retirement.

Module 3

Mapping Applicable Legal Requirements

Connect product facts, roles, territories and decisions to applicable requirements while keeping law, guidance and standards distinct.

Module 4

Data Protection in AI Products

Trace personal data through the product, separate each processing purpose and turn privacy findings into verifiable controls.

Module 5

DPIAs and AI impact assessments

Assess consequences, controls and remaining risk, including findings that could require a change of course.

Module 6

Data residency and international transfers

Examine storage, access, suppliers and exit arrangements as part of a deployment assessment.

Module 7

AI procurement and vendor due diligence

Assess supplier information and identify the further evidence needed for a procurement recommendation.

Module 8

Negotiating AI and technology contracts

Connect clause positions to actual data use, performance, change and termination risks.

Module 9

Writing legal requirements engineers can use

Turn legal advice into specific product requirements and acceptance criteria.

Module 10

Designing AI governance that can operate

Set decision rights, approvals, exceptions and the practical authority to stop deployment.

Module 11

Testing, monitoring and responding to failure

Develop monitoring and incident arrangements that recognise changing conditions after launch.

Module 12

Content transparency and intellectual property

Examine generated content, disclosure, provenance and intellectual property questions.

Module 13

Sector and last-mile case studies

Compare how the decision, affected people, evidence, sector rules and fallback can change the legal answer even where the same technical component is used.

Module 14

Advising management and the board

Prepare a reasoned recommendation to proceed, proceed subject to conditions, pause or stop.

Final exercise

Give management a reasoned recommendation.

Conclude with a recommendation to proceed, proceed subject to conditions, pause or stop, supported by the legal analysis, controls and evidence developed through the programme.