FORMATION IA
IA pour les équipes juridiques : revue de contrats et e-discovery
Les juristes acquièrent des compétences IA concrètes pour accélérer l'analyse contractuelle, la revue de privilège et les workflows d'e-discovery.
Ce qu'elle couvre
Ce programme de niveau praticien permet aux équipes juridiques internes de déployer l'IA dans la gestion du cycle de vie des contrats, la génération de journaux de privilège et les processus d'e-discovery. Les participants apprennent à évaluer et sélectionner des fournisseurs d'IA juridique, à comprendre les implications des modèles de facturation assistés par IA, et à mettre en place des garde-fous de gouvernance pour les données confidentielles. Les séances combinent démonstrations d'outils en direct, exercices pratiques d'analyse contractuelle et études de cas réels issus de directions juridiques comparables.
À l'issue, vous saurez
- 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
Sujets abordés
- 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
Modalité
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.
Ce qui fait que ça marche
- 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
Erreurs fréquentes
- 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
Quand NE PAS suivre cette formation
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.
Fournisseurs à considérer
Sources
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