AI TRAINING
AI for Legal Teams: Contract Review and Discovery
Legal professionals gain practical AI skills to accelerate contract analysis, privilege review, and e-discovery workflows.
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Run the diagnostic →What it covers
This practitioner-level programme equips in-house legal teams with the tools and frameworks to deploy AI across contract lifecycle management, privilege log generation, and e-discovery. Participants learn to evaluate and select legal AI vendors, understand the implications of AI-assisted billing models, and build governance guardrails for privileged and confidential data. Sessions combine live tool demonstrations, hands-on contract analysis exercises, and structured discussion of real-world implementation cases from comparable legal departments.
What you'll be able to do
- Configure and run an AI-assisted contract review workflow, including clause-level risk flagging against a defined playbook
- Design a privilege review protocol that combines AI classification with attorney sign-off checkpoints and a defensible audit trail
- Evaluate and score at least three legal AI vendors against a structured RFP scorecard covering accuracy, data residency, and integration
- Identify and mitigate the top five AI-related professional responsibility and confidentiality risks specific to in-house legal teams
- Build a business case quantifying time and cost savings from AI-assisted review for presentation to executive stakeholders
Topics covered
- AI-assisted contract review: clause extraction, risk flagging, and deviation detection
- Privilege review workflows: using AI for log generation and responsiveness classification
- E-discovery fundamentals: AI-driven document review, technology-assisted review (TAR) and continuous active learning (CAL)
- Legal AI vendor landscape: evaluating tools such as Relativity, Kira, Harvey, and Luminance
- Data security and confidentiality: handling privileged and sensitive data in AI environments
- Billing model shift: implications of AI on hourly billing, alternative fee arrangements, and outside counsel management
- AI governance and ethics in legal practice: hallucination risk, audit trails, and professional responsibility
- Change management: building legal team adoption and defining human-in-the-loop review standards
Delivery
Delivered as a blended programme across four half-day sessions (remote or in-person) with optional on-site workshop for tool demonstrations. Hands-on work accounts for approximately 50% of contact time, including live access to sandboxed contract review and e-discovery platforms. Participants receive a legal AI vendor comparison matrix, a privilege review protocol template, and a governance policy starter kit. Cohorts can be run as open-enrolment or closed in-house programmes tailored to the organisation's existing tech stack.
What makes it work
- Nominating a legal ops champion who owns the AI tooling roadmap and acts as the internal point of escalation for quality issues
- Establishing a human-in-the-loop review standard before any AI-assisted output is used in litigation or transactional matters
- Running a pilot on a contained, low-risk contract corpus before scaling to high-value or regulated agreement types
- Aligning general counsel and CFO on revised billing assumptions early to prevent internal friction as AI reduces billable-hour proxies
Common mistakes
- Treating AI output as final without attorney review, creating professional responsibility exposure and eroding court defensibility
- Selecting a legal AI vendor based on demos alone without assessing data residency, model transparency, and privilege handling protocols
- Failing to update outside counsel guidelines and alternative fee arrangements to reflect AI-driven efficiency gains
- Deploying AI contract tools on unstructured legacy contract repositories without a data cleansing and metadata tagging phase
When NOT to take this
This programme is not suitable for a small law firm or solo practitioner whose document volumes are too low to justify AI-assisted review tooling, the ROI calculation will not close and the governance overhead will outweigh the efficiency gains.
Providers to consider
Sources
Use cases this training unlocks
- AI-Accelerated Legal Document ReviewSpeed up litigation discovery by automatically classifying thousands of documents for relevance and privilege.
- AI-Assisted Legal Document DraftingAutomatically draft legal briefs, motions, and memos from case facts and precedents for legal teams.
- AI Legal Research AssistantAccelerate legal research for lawyers by surfacing relevant case law, statutes, and citations instantly.
- Intelligent Contract Analysis and Risk ScoringAutomatically extract clauses, flag non-standard terms, and score risk across contract portfolios.
- Contract Obligation Tracking via NLPAutomatically extract and monitor obligations, deadlines, and renewals across large contract portfolios.
- Deposition Summarization and Contradiction DetectionAutomatically transcribe, summarize, and flag key admissions from deposition recordings for litigators.
Other trainings at this level
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