🏆SFEIR is the Google Cloud EMEA Training Partner of the Year 2025🤝New partnership: Official GitLab Training🤖New training: AI-Augmented Developer
🏆SFEIR is the Google Cloud EMEA Training Partner of the Year 2025🤝New partnership: Official GitLab Training🤖New training: AI-Augmented Developer
GCPSPARKSAIINTEGLEGAL

Google AI Integration for Legal Training

This course equips legal professionals with the skills to leverage core Google AI tools; Gemini, NotebookLM, and Gemini Enterprise to transform daily legal workflows. It will demonstrate how to utilize Gemini for enhanced legal research, communication, and initial document analysis. You'll then leverage NotebookLM to securely query and synthesize vast legal knowledge for accurate, source-grounded analysis. Finally, you'll explore Gemini Enterprise to automate complex legal review and compliance workflows. This course empowers legal professionals to implement AI-driven solutions effectively and ethically, reducing time, mitigating risk, and elevating strategic legal contributions. An optional Appendix provides additional content on developing specialized Legal Gems for customized analysis frameworks and tailored policy drafting styles, as well as integrating NotebookLM and Gemini for a unified approach to data aggregation and actionable report generation.

Google Cloud
✓ Official training Google CloudLevel Intermediate⏱️ 0.5 day (3h)

What you will learn

  • Utilize the core features of Gemini to enhance first-pass contract review, legal communication drafting, and initial policy summarization.
  • Leverage NotebookLM to securely query and synthesize information from vast legal documents, regulatory texts, and internal policies for accurate, source-verified analysis and risk identification.
  • Automate routine legal review tasks and compliance workflows using Gemini Enterprise, improving accuracy and efficiency in areas like legal document processing, workflow orchestration, and compliance & risk management.
  • Design and apply custom Legal Gems to automate complex legal analysis and standardize expert workflows.
  • Integrate NotebookLM and Gemini to synthesize complex legal data into high-quality, data-backed legal outputs.

Prerequisites

  • Basic Google Apps familiarity
  • Google Workspace skills
  • Gemini familiarity
  • basic NotebookLM skills
  • basic Gemini Enterprise knowledge and skills
  • legal terminology
  • understanding of contract structures
  • regulatory compliance principles

Target audience

  • In-House Counsel, Paralegals, Compliance Officers, Contract Managers, Legal Operations Specialists, Legal Support Staff, Policy Writers

Training Program

6 modules to master the fundamentals

Objectives
  • Use the core components of effective prompt structure for AI models.
  • Apply prompting techniques and tips to optimize AI model responses for specific tasks.
Topics covered
  • →Prompt structure
  • →Prompt tips
Activities

1 prompt example

Objectives
  • Identify Gemini features applicable to streamlining legal research, contract review, and communication.
  • Demonstrate the use of Gemini to efficiently summarize legal documents, draft correspondence, and analyze legal data.
  • Compare the efficiency of completing legal analysis and drafting tasks with and without Gemini's assistance.
  • Explain the potential time savings, improved clarity, and enhanced accuracy gained by leveraging Gemini in daily legal workflows.
Topics covered
  • →Use case 1: Triage and Initial Contract Summary
  • →Use case 2: Draft Initial Versions of Standard Letters
  • →Use case 3: Analyze Legal Data for Trend Identification
Activities

3 use case demos

Objectives
  • Review the steps to upload legal source documents and create a notebook in NotebookLM Enterprise.
  • Apply NotebookLM Enterprise to answer legal questions and synthesize information using source materials.
  • Differentiate between NotebookLM's source-grounded legal insights and traditional manual analysis.
  • Assess the reliability and accuracy of content generated by NotebookLM Enterprise by verifying its source citations.
Topics covered
  • →Use case 1: Grounded knowledge base for regulatory research
  • →Use case 2: Regulatory analysis to find gaps
  • →Use case 3: Case law research to find common legal arguments
Activities

3 use case demos

Objectives
  • Recognize challenges, manual overhead, and error vulnerabilities in traditional legal processes.
  • Demonstrate automating routine legal tasks and complex workflows with Gemini Enterprise.
  • Discuss how Gemini Enterprise enhances legal accuracy and efficiency in complex document analysis and process management.
  • Outline key considerations for Gemini Enterprise integration in legal systems and operations.
Topics covered
  • →Use case 1: Preparing for a client deposition
  • →Use case 2: Contract review and follow-up
  • →Use case 3: Contract clause discovery & anomaly detection
Activities

3 use case demos

Objectives
  • Analyze the inefficiencies of manual legal processes that custom Gems can address.
  • Design and refine custom Legal Gems using effective prompting techniques to automate complex legal analysis and standardize expert workflows.
  • Apply custom Legal Gems in relevant use cases to streamline legal workflows.
  • Explain the benefits of creating custom Legal Gems, including efficiency, clarity, and cost-effectiveness.
Topics covered
  • →Use Case 1: Consistent contract analysis
  • →Use case 2: User-friendly policy creation
  • →Use case 3: Generate potential questions based on case files
Activities

3 use case demos

Objectives
  • Collect and upload relevant information and data from various sources to NotebookLM.
  • Use NotebookLM to extract key insights from aggregated data.
  • Utilize Gemini to synthesize factual insights and legal principles to formulate high-quality outputs.
  • Produce clear, data-backed legal memos and strategic recommendations.
Topics covered
  • →Unified solution: Context and benefits
  • →NotebookLM: Understanding the data
  • →Gemini: Actionable outputs
  • →Unified solution: Implementation and impact
Activities

1 scenario demo

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Quality Process

SFEIR Institute's commitment: an excellence approach to ensure the quality and success of all our training programs. Learn more about our quality approach

Teaching Methods Used
  • Lectures / Theoretical Slides — Presentation of concepts using visual aids (PowerPoint, PDF).
  • Technical Demonstration (Demos) — The instructor performs a task or procedure while students observe.
Evaluation and Monitoring System

The achievement of training objectives is evaluated at multiple levels to ensure quality:

  • Continuous Knowledge Assessment : Verification of knowledge throughout the training via participatory methods (quizzes, practical exercises, case studies) under instructor supervision.
  • Progress Measurement : Comparative self-assessment system including an initial diagnostic to determine the starting level, followed by a final evaluation to validate skills development.
  • Quality Evaluation : End-of-session satisfaction questionnaire to measure the relevance and effectiveness of the training as perceived by participants.

Frequently Asked Questions

It is designed for legal professionals who want to use Google AI tools to transform daily legal workflows, from research and document review to compliance.
No prior AI experience is required. Familiarity with everyday legal tasks and Google Workspace is enough to follow the demonstrations and apply the tools.
You will learn to use Gemini for legal research and communication, NotebookLM to synthesize legal knowledge with source-grounded analysis, and Gemini Enterprise to automate review and compliance workflows.
Yes. You will use Gemini to enhance first-pass contract review, legal communication drafting, and initial policy summarization.
The course runs for 3 hours in an instructor-led format, combining slides with live demonstrations and hands-on activities.
Yes. It is an official Google Cloud Sparks course delivered by SFEIR Institute, a certified Google Cloud Training Partner.

395€ excl. VAT

per learner

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