AI Training for Legal Professionals - Master AI Tools That Save 20+ Hours Per Week

The legal industry is experiencing its most dramatic transformation in decades. AI adoption by legal professionals skyrocketed from 19% in 2023 to 79% in 2024 according to the Clio Legal Trends Report, yet most attorneys lack formal training to maximize these tools’ potential. Law firms are sitting on unprecedented opportunities to increase profitability by 21%, reduce administrative time by 20-25%, and deliver faster, more accurate client service—but only if their legal teams know how to leverage AI effectively.

This creates a critical skills gap: powerful AI tools exist that can complete contract review in 30% of the time, conduct comprehensive legal research in minutes instead of days, and automate client communications that consume 5-8 hours weekly—yet most attorneys don’t know how to access these capabilities safely within ethical boundaries and bar requirements.

Our Legal AI Training Workshop bridges this gap, providing hands-on education specifically designed for attorneys, legal operations professionals, and law firm staff who need to understand AI applications in legal practice, navigate ethical considerations under Model Rule 1.1, and implement practical strategies that deliver measurable improvements in billable efficiency, client satisfaction, and competitive positioning.

Why Legal Professionals Need AI Training Now

The legal profession stands at an inflection point where AI literacy separates thriving practices from struggling ones. The legal AI software market reached $37 billion globally in 2024, with 26% of legal organizations actively using generative AI—up from just 14% earlier in the year. This isn’t emerging technology anymore; it’s becoming standard practice, and legal professionals without AI competency face significant competitive disadvantages.

The urgency extends beyond market trends to fundamental economic realities facing law firms. Traditional document review and legal research consume 40-60% of attorney time on non-billable administrative tasks, directly impacting firm profitability and attorney satisfaction. Meanwhile, 95% of legal professionals expect AI to become central to workflows within five years, according to Thomson Reuters research. The gap between expectation and capability creates immediate pressure for practical AI training.

Client expectations are shifting dramatically. Modern legal clients demand faster turnaround times, competitive pricing, and proactive communication that only AI-enabled practices can deliver consistently. When competing firms can complete due diligence in half the time or draft contracts at 70% lower cost through AI automation, traditional firms lose competitive bids regardless of their substantive legal expertise.

The profitability data makes a compelling business case. Firms implementing AI report 21% increases in profitability according to the Clio Legal Trends Report, with 61% reporting “somewhat increased” efficiency and an additional 21% reporting “significant” efficiency improvements. These aren’t marginal gains—they represent fundamental transformation of law firm economics through technology leverage.

Early adopters are already seeing dramatic results. Attorneys using AI for contract review report 50-70% time reductions on routine agreements. Legal research that previously required 4-6 hours of case law review now completes in under an hour with AI assistance. Document summarization tools condense 100+ page contracts into actionable summaries in minutes rather than hours. The efficiency gains translate directly to increased billable capacity, improved work-life balance, or competitive pricing advantages.

However, these benefits only materialize when legal professionals understand how to implement AI responsibly within ethical boundaries. State bar associations are issuing AI ethics opinions, and Model Rule 1.1’s Comment 8 requires attorneys to maintain competence in “the benefits and risks associated with relevant technology.” Attorneys need training on selecting AI tools that protect attorney-client privilege, avoiding hallucination risks in legal research, and maintaining professional responsibility when using AI-generated work product.

The competitive landscape is shifting rapidly. BigLaw firms are equipping associates with AI research tools and contract analysis platforms, setting new client expectations for response time and cost efficiency. Solo practitioners and small firms can now compete with larger firms through technology leverage—but only if they invest in training to use these tools effectively. The alternative is watching client expectations shift while lacking the capabilities to meet them.

AI also addresses the legal profession’s talent challenges. Law firms struggle to hire and retain associates while billing pressure increases. AI enables firms to accomplish more with current team sizes, reduce associate burnout through administrative automation, and create more engaging work by eliminating repetitive tasks. Partners who train their teams on AI tools report improved associate satisfaction and retention alongside profitability gains.

The data is clear: AI-adopting legal teams report 97% effectiveness ratings, with 74% using AI for legal research and 64% for contract drafting and review. These aren’t experimental use cases anymore—they’re becoming table stakes for competitive legal practice.

10 Ways Legal Professionals Use AI Today

1. Contract Drafting & Review

Attorneys use AI-powered tools like Spellbook, Harvey AI, and LawGeex to accelerate contract drafting and review processes dramatically. These platforms analyze contracts in real-time, suggesting standard clauses, identifying missing provisions, flagging unusual terms, and checking for consistency across documents. Legal teams can upload contracts and receive instant analysis highlighting key terms, potential risks, and suggested revisions based on firm precedent and industry standards.

This translates to 50-70% reduction in contract review time for routine agreements, with 64% of AI-adopting legal teams citing this as their #1 application. Instead of spending 2-3 hours reviewing a commercial lease, attorneys spend 45 minutes reviewing AI-identified issues while the system handles clause comparison, defined term checking, and cross-reference validation automatically.

2. Legal Research & Case Law Analysis

Legal researchers leverage AI platforms like Casetext CoCounsel, Westlaw Precision, and ROSS Intelligence to conduct comprehensive case law analysis in fraction of traditional time. Instead of spending hours crafting Boolean search queries and manually reviewing hundreds of cases, attorneys describe their legal questions in natural language and receive relevant case citations with AI-generated summaries explaining relevance to their specific facts.

The impact is dramatic: 74% of attorneys now use AI for research, completing comprehensive case law review in hours instead of days. AI systems analyze thousands of judicial opinions, identify relevant precedent across jurisdictions, extract key holdings and reasoning, and present results organized by relevance to specific legal issues. The AI serves as a research assistant that never tires, ensuring comprehensive coverage while dramatically reducing billable research hours.

3. Document Summarization

Legal teams use AI tools like Kira Systems, Luminance, and DocuSign AI to condense lengthy documents into actionable summaries. When faced with 200-page merger agreements, 500-page due diligence packages, or extensive deposition transcripts, attorneys can generate AI summaries that extract key terms, obligations, conditions, deadlines, and risk provisions in minutes.

With 74% adoption rates among legal professionals, document summarization has become essential for managing the information overload inherent in modern legal practice. Associates preparing for closings can quickly understand complex transaction structures. Litigators preparing for depositions can rapidly familiarize themselves with thousands of pages of discovery documents. In-house counsel can efficiently review vendor contracts and partnership agreements without dedicating hours to comprehensive reading.

4. Brief & Motion Drafting

Litigation attorneys use AI platforms like Brief Catch and Paxton AI to accelerate brief and motion drafting while maintaining firm-specific formatting and citation standards. These tools generate initial motion templates based on case facts and legal theories, suggest relevant case citations with accurate Bluebook or local rule formatting, identify weaknesses in opposing counsel’s arguments, and ensure consistency in legal reasoning across multiple filings.

Attorneys report drafting initial motion templates 60% faster with AI assistance. Instead of starting from a blank page or spending hours searching for analogous briefs from prior cases, lawyers describe their arguments and receive structured drafts that they refine with their legal expertise. The AI handles citation verification, ensures proper formatting, and maintains consistent terminology—allowing attorneys to focus on substantive legal strategy rather than administrative formatting.

5. Due Diligence Document Review

Corporate and M&A attorneys leverage AI platforms like Everlaw and Relativity to manage due diligence review of thousands of documents in acquisition transactions, compliance audits, and regulatory investigations. AI systems automatically categorize documents by type, flag inconsistencies across contracts, identify missing signatures or key provisions, extract financial terms and obligations, and prioritize documents requiring human attorney review.

This enables legal teams to review thousands of M&A documents 50% faster while improving accuracy. AI flags risks and inconsistencies that human reviewers commonly miss during high-volume document review, ensuring comprehensive coverage without proportionally increasing attorney hours. A due diligence project that traditionally required three weeks of associate time completes in 8-10 days with equivalent or superior quality.

6. Client Correspondence & Email Management

Legal professionals use AI tools like Lexis+ AI and LegalMation to draft client correspondence, respond to routine inquiries, and manage email communications efficiently. These platforms suggest email responses based on client questions and case context, draft client updates summarizing case developments, generate engagement letters and retainer agreements customized to matter details, and organize email by priority and required action.

With 54% of legal professionals using AI to draft correspondence, attorneys save 5-8 hours per week on email management. Instead of spending 15-20 minutes crafting each client update or response to routine questions, attorneys review and customize AI-generated drafts in 3-5 minutes. The time savings compound across hundreds of client interactions monthly while ensuring consistent, professional communication quality.

7. Deposition & Discovery Preparation

Litigation teams use AI platforms like Reveal AI and Disco to prepare for depositions and manage discovery processes. These systems analyze thousands of discovery documents to identify key evidence patterns, flag contradictions between witness statements and documentary evidence, suggest deposition question lines based on document content, and create chronologies of events from disparate sources.

Attorneys identify key evidence patterns across thousands of discovery documents in a fraction of traditional time. What previously required days of associate time reviewing documents and creating witness prep materials now completes in hours, with AI surfacing connections and contradictions that human reviewers might miss. This improves deposition effectiveness while dramatically reducing preparation costs.

8. Legal Precedent Prediction

Sophisticated attorneys use predictive analytics tools like Blue J and Lex Machina to forecast case outcomes, judge behavior patterns, and litigation strategy. These AI systems analyze historical case data, judicial opinions, and litigation outcomes to predict case results with 87% accuracy, estimate likely settlement ranges based on comparable matters, identify favorable and unfavorable judges for specific case types, and inform strategic decisions about pursuing litigation versus settlement.

This enables data-driven client counseling about litigation risk and expected outcomes. Instead of relying solely on subjective experience, attorneys can show clients objective data about likely outcomes based on judge assignment, case type, jurisdiction, and analogous precedent. This improves client satisfaction, helps manage expectations, and leads to better strategic decisions about resource allocation and case settlement.

9. Regulatory Compliance Monitoring

Regulatory and compliance attorneys use AI platforms like ComplyAdvantage and Henchman to monitor regulatory changes across jurisdictions and ensure client compliance with evolving requirements. AI systems track regulatory developments across 50+ jurisdictions automatically, alert attorneys when regulations affecting client industries change, analyze regulatory language to determine applicability to specific client situations, and generate compliance checklists and implementation guides.

This reduces compliance research time by 40% while ensuring comprehensive coverage that would be impossible to maintain manually. Instead of each attorney manually monitoring federal registers, state legislative activity, and agency guidance across their practice areas, AI aggregates relevant developments and surfaces only those requiring attorney attention. This improves client service while reducing research overhead.

10. Financial Data & Matter Analysis

Legal operations professionals and managing partners use AI tools like Clio Manage with AI and TimeSolv to analyze firm financial data, identify billing optimization opportunities, and improve matter profitability. These platforms analyze historical matter data to predict resource requirements and costs, identify billing patterns and realization gaps, recommend optimal staffing and rate structures, and forecast cash flow and financial performance.

With 47% of attorneys interested in AI for financial insights, practice management AI is growing rapidly. Firms identify underperforming practice areas, optimize associate utilization rates, reduce write-offs through better scoping and client communication, and make data-driven decisions about practice expansion and resource allocation. The insights transform law firm management from intuition-based to data-driven.

Real ROI: What Legal Professionals Achieve with AI

Legal professionals implementing AI training and tools consistently achieve measurable returns across profitability, efficiency, and quality metrics. The data demonstrates compelling business cases for investment in AI capabilities.

Time Savings & Efficiency Gains: The most immediate impact is dramatic time reduction on routine legal tasks. McKinsey research documents 20-25% reduction in time spent on non-selling activities for attorneys who properly implement AI tools. This translates to 8-10 hours per week reclaimed from administrative work—time that can be redirected to billable client work, business development, or improved work-life balance. Legal Tech Survey data confirms that 95% of attorneys using AI save measurable time each week on legal tasks, with Thomson Reuters reporting that legal AI software can improve productivity by up to 50% for routine research and document review tasks.

Revenue & Profitability Impact: The financial returns are substantial. Clio Legal Trends Report documents 21% increase in law firm profitability when AI is properly implemented across practice workflows. This profitability improvement stems from multiple sources: increased billable efficiency enabling higher utilization rates, reduced administrative overhead through automation, competitive advantages attracting higher-quality clients, and improved realization rates through better scoping and matter management. Firms with above-average productivity spend 41% more on technology—including AI tools—and achieve corresponding revenue gains that justify the investment multiple times over.

The global legal AI software market reaching $37 billion demonstrates industry-wide investment confidence. This isn’t speculative spending; it’s firms allocating substantial budgets because they’re seeing measurable ROI. Law firms don’t invest billions in technology that doesn’t deliver returns.

Quality & Accuracy Improvements: AI doesn’t just accelerate legal work—it improves quality. Spellbook’s benchmarking report shows 97% effectiveness ratings from legal departments actively using AI tools for contract analysis and research. Among users, 61% report “somewhat increased” efficiency with an additional 21% reporting “significant” efficiency improvements. The dual benefit of speed and quality improvement is rare but well-documented with AI assistance.

AI-assisted contract review reduces error rates by identifying inconsistencies, missing clauses, and unusual terms that human reviewers commonly miss—particularly during high-volume review sessions when fatigue degrades performance. The AI never tires, ensuring consistent quality across the first contract reviewed and the hundredth. This translates to reduced malpractice risk, improved client satisfaction, and fewer costly mistakes requiring correction.

Competitive Positioning: Perhaps the most strategic benefit is competitive advantage. Early-adopting firms win competitive bids through faster turnaround commitments, charge competitive rates while maintaining profitability through efficiency gains, attract top legal talent who want to work with modern technology, and position themselves as innovative, client-focused practices rather than traditional firms resistant to change.

As AI becomes table stakes in legal practice, the competitive advantage shifts from “firms that use AI” to “firms that use AI exceptionally well through proper training and implementation.” The window for differentiation through AI adoption is narrowing, making training investments increasingly urgent for competitive positioning.

Our Legal AI Training Workshop

Our comprehensive training program equips legal professionals with practical AI skills they can implement immediately to improve efficiency, maintain ethical compliance, and deliver superior client service. We’ve designed two tracks to accommodate different experience levels and organizational needs.

Foundations Track (4 hours) - $497 per person

The Foundations Track provides essential AI literacy for legal professionals who are new to AI or need structured introduction to legal-specific applications and ethical requirements.

Module 1: AI Fundamentals for Legal Practice (60 minutes)

Attorneys learn how large language models work and, critically, their limitations for legal work. We explain hallucination risks—when AI confidently generates incorrect citations or fabricates case law—and teach verification requirements to catch these errors before they reach client work product or court filings. The module covers data privacy and attorney-client privilege considerations, explaining why standard consumer AI tools like ChatGPT cannot be used with client confidential information without proper safeguards.

Participants learn to evaluate and choose between general AI tools and legal-specific platforms like Casetext, Westlaw AI, LexisNexis AI, Harvey, and Spellbook. We provide decision frameworks considering practice area, budget, firm size, and specific use case requirements. You’ll understand when general-purpose tools suffice versus when specialized legal AI platforms justify additional investment.

Module 2: AI-Powered Legal Research & Analysis (90 minutes)

Hands-on training with Casetext CoCounsel (or similar platform based on firm subscriptions) teaches attorneys to conduct AI-powered case law research effectively. Participants practice formulating natural language research queries, evaluating AI-generated case summaries for relevance, verifying citations and confirming cases are still good law, and integrating AI research into traditional legal research workflows.

We teach advanced search techniques for Westlaw Precision and Lexis+ AI, demonstrating how to combine AI natural language search with traditional Boolean queries for comprehensive coverage. Critical emphasis on fact-checking AI research outputs and citation verification ensures participants understand their professional responsibility to verify AI work product. Participants leave with research workflows that combine AI speed with attorney oversight and quality control.

Module 3: Contract Review & Document Analysis (60 minutes)

Practical training with Spellbook, LawGeex, or Harvey AI provides hands-on experience with AI contract drafting and review. Attorneys practice uploading contracts for AI analysis, reviewing AI-identified issues and suggested revisions, creating clause libraries for their specific practice areas, and customizing AI outputs to firm style and client preferences.

We demonstrate redlining automation and version comparison capabilities that dramatically accelerate contract negotiation processes. Participants learn quality assurance protocols for AI-generated contract language, ensuring outputs meet professional standards and protect client interests. This module includes practice area-specific examples for litigation, corporate, real estate, family law, and other specialties represented in the workshop.

Module 4: Implementation & Workflow Integration (30 minutes)

The workshop concludes with practical implementation guidance. Attorneys learn to create firm-specific AI usage policies and guidelines that ensure ethical compliance and consistent quality. We provide templates for training support staff and associates on approved tools, establishing quality control procedures, and measuring ROI through tracking time savings and accuracy improvements.

We discuss common pitfalls—over-reliance on AI without verification, inadequate confidentiality protections, failure to disclose AI use to clients when appropriate—and provide proven strategies to avoid them. Participants develop personalized implementation plans identifying 2-3 immediate use cases to pilot in their practices within 30 days.

Mastery Track (Full Day - 8 hours) - $897 per person

The Mastery Track includes all Foundations content PLUS four advanced modules that prepare legal teams to lead AI implementation initiatives, develop sophisticated workflows, and achieve expert-level AI proficiency.

Module 5: Advanced Document Automation (90 minutes)

Deep dive into building custom AI workflows for firm-specific documents beyond standard contracts. Attorneys learn to create template systems for engagement letters, demand letters, discovery requests, and other frequently-used documents customized to their practice. We demonstrate integration with existing practice management software including Clio, MyCase, PracticePanther, and LawToolBox.

Participants build automated workflows for client intake processes, engagement letter generation, and billing narrative drafting. This training emphasizes creating systems that scale across multiple attorneys and support staff while maintaining quality control. You’ll leave with working automation templates ready to implement in your practice.

Module 6: AI for Litigation & Discovery (60 minutes)

Specialized training for litigators covers AI applications across the litigation lifecycle. We provide hands-on experience with e-discovery AI tools like Relativity, Everlaw, and Disco, teaching attorneys to upload document sets, train AI for predictive coding, review AI-prioritized documents for relevance and privilege, and manage technology-assisted review protocols that courts increasingly expect.

The module covers deposition preparation using AI document analysis, witness credibility assessment, and question outline generation. We teach litigation timeline and chronology creation with AI assistance, predictive analytics for case outcome forecasting, and strategic decision-making based on AI-generated insights. Litigators leave with practical workflows they can implement immediately in active cases.

Module 7: Legal-Specific AI Strategy & Ethics (60 minutes)

Comprehensive coverage of ethical and professional responsibility considerations when using AI in legal practice. We review state bar AI ethics opinions from jurisdictions including California, Florida, New York, and others, explaining common themes and specific requirements. Participants learn malpractice risk management strategies when using AI tools, including appropriate verification procedures, documentation of AI use, and disclosure considerations.

We address client communication about AI usage in their legal matters—when to disclose, how to explain benefits, and addressing client concerns about AI replacing attorney judgment. Critical discussion of competency requirements under Model Rule 1.1 (Comment 8) ensures attorneys understand their ethical obligation to maintain technology competence. Participants receive sample AI usage policies, client engagement letter language, and verification checklists for immediate implementation.

Module 8: Hands-On Practice Transformation Project (90 minutes)

The culminating module provides personalized attention where participants analyze their own practice workflows, identify bottlenecks and inefficiencies consuming attorney time, map high-impact AI implementation opportunities, and create detailed 90-day implementation roadmaps specific to their practices.

Working individually and in small groups, attorneys build custom prompts for their specific practice areas—litigation motion practice, corporate transactional work, family law pleadings, estate planning, real estate closings, or other specialties. We provide frameworks and examples, then participants create 10-15 custom prompts they’ll use immediately upon returning to practice.

Participants leave with ready-to-use templates including contract review checklists, research verification procedures, document automation workflows, and client communication scripts. The implementation roadmap includes specific milestones, success metrics, and resource requirements for tracking progress and demonstrating ROI to firm leadership.

Who Should Attend

This training is designed for legal professionals across practice settings and experience levels who want to leverage AI to increase efficiency, improve client service, and advance their careers in an AI-enabled legal environment.

Solo Practitioners & Small Firm Attorneys seeking to compete with larger firms through technology leverage. AI tools enable solo and small firm attorneys to deliver BigLaw quality and responsiveness at competitive pricing, level the playing field in competitive bids, and accomplish more without hiring additional associates or staff. No technical background required—we teach practical applications in legal contexts you face daily.

Associates wanting to dramatically increase billable efficiency and demonstrate value to firm leadership. Junior and mid-level associates learn to complete research, document review, and drafting assignments in fraction of traditional time, positioning themselves as high-performers who embrace technology and deliver exceptional client value. AI competency is increasingly important for associate advancement and compensation decisions.

Partners & Managing Attorneys responsible for firm technology strategy and competitive positioning. Firm leaders need to understand AI capabilities to make informed vendor selection decisions, build business cases for AI investment, lead successful implementation initiatives, and measure ROI. This training provides the strategic and practical knowledge to lead firm transformation initiatives confidently.

Legal Operations Professionals implementing AI tools across legal departments and managing technology vendor relationships. Legal ops teams learn to evaluate AI platforms, integrate tools with existing technology stacks, train attorney and staff users effectively, and measure adoption and performance metrics that demonstrate value to executive leadership.

In-House Counsel seeking to reduce outside counsel costs through internal AI capabilities. Corporate legal departments can accomplish more with current headcount, manage higher matter volumes without proportional budget increases, demonstrate measurable efficiency improvements to business stakeholders, and selectively bring work in-house that previously required expensive outside counsel.

Practice Area Specialists in litigation, corporate, real estate, intellectual property, and other practice areas wanting domain-specific AI applications. We customize examples and use cases to participants’ practice areas, ensuring relevant, immediately applicable training regardless of specialty.

Whether you’re an attorney with 30 years’ experience skeptical about technology or a recent law school graduate comfortable with consumer AI but uncertain about professional applications, this training meets you where you are and provides practical knowledge applicable to your specific situation.

What You’ll Walk Away With

Every participant leaves with concrete tools, knowledge, and resources they can implement immediately to drive value in their legal practice.

AI Tool Evaluation Framework: You’ll receive a customized decision matrix for selecting legal AI tools based on practice area, budget, firm size, and specific use case requirements. This framework helps you evaluate vendors objectively across factors including functionality, pricing, integration capabilities, security and confidentiality protections, customer support, and user experience. You’ll make informed decisions about tool selection rather than relying on vendor marketing claims.

50+ Practice-Ready Prompts: Our legal-specific prompt library includes ready-to-use examples for contract review and drafting, legal research and case analysis, brief and motion writing, client communication, and legal analysis across practice areas. These aren’t generic prompts—they’re developed by practicing attorneys for real legal scenarios. Customize them to your specific matters and start seeing efficiency gains immediately.

Implementation Roadmap: Your personalized 90-day plan outlines specific activities for weeks 1-4, 5-8, and 9-12, identifies 2-3 high-impact pilot projects to demonstrate value, defines success metrics and tracking mechanisms, and includes resource requirements and budget estimates. This roadmap transforms abstract AI concepts into concrete action steps with accountability and milestones.

Ethics Compliance Checklist: State-specific guidance for ethical AI use aligned with bar requirements includes Model Rule 1.1 competency considerations, confidentiality and privilege protections, verification and quality control procedures, and client disclosure considerations. Sample language for engagement letters, AI usage policies, and verification procedures ensures you maintain ethical compliance while leveraging AI capabilities.

ROI Tracking Template: Our spreadsheet enables you to measure time savings by task and matter type, calculate cost reductions from efficiency gains, track accuracy improvements and quality metrics, and demonstrate value to firm leadership or clients. Quantifying AI impact builds business cases for expanded implementation and justifies continued investment.

Vendor Comparison Guide: Side-by-side analysis of top legal AI platforms includes feature comparison across contract analysis, legal research, document drafting, and practice management use cases; pricing structures from per-user subscriptions to enterprise licensing; integration capabilities with major practice management systems; and security, confidentiality, and BAA availability for each platform. This guide saves hours of vendor research and evaluation time.

Lifetime Access to updated materials ensures you stay current as AI technology evolves. You’ll receive updated prompt libraries as new techniques emerge, emerging tool reviews as platforms launch or add capabilities, quarterly AI legal tech trend reports, and monthly update webinars covering new developments, use cases, and best practices. The legal AI landscape changes rapidly—your training materials evolve with it.

Pricing & Booking

We offer flexible pricing structures to accommodate individual attorneys, law firm teams, and custom corporate training needs.

Individual Attorney Registration:

• Foundations Track (4 hours): $697 - Essential AI literacy for legal professionals new to AI or seeking structured introduction to legal-specific applications and ethical requirements
• Mastery Track (8 hours): $1,297 - Comprehensive training including all Foundations content plus advanced modules on document automation, litigation AI, ethics, and practice transformation
• Early Bird Discount: Save $200 when booking 30+ days in advance - Plan ahead and secure significant savings on either track

Law Firm Team Packages (5+ attendees):

• Foundations Track: $497/person (30% savings) - Equip your entire team with essential AI skills at substantial per-person discount
• Mastery Track: $897/person (31% savings) - Comprehensive firm-wide training with advanced implementation guidance
• Includes: Firm-wide license for all training materials and templates - Your entire firm gains access to prompt libraries, implementation guides, and ongoing resources regardless of training attendees

Custom Corporate/In-House Legal Department Training:

• On-site or virtual delivery available - We bring training to your location or deliver high-quality virtual sessions with interactive components
• Customized to your specific practice management software and workflows - Training incorporates your actual tools (Clio, MyCase, NetDocuments, etc.) and workflows for immediate applicability
• Includes 90-day post-training implementation support - Email access to instructors for questions, monthly office hours for troubleshooting, and customized guidance for your specific implementation challenges
• Contact us for pricing and scheduling - Custom pricing based on group size, location, and customization requirements; significant discounts for enterprise deployments

What’s Included Across All Tracks:

• Live instruction from attorneys who’ve implemented AI in their own practices - Learn from practitioners who’ve achieved real results, not theoretical academics or technology vendors
• All course materials, templates, and prompt libraries - Comprehensive resource package including evaluation frameworks, implementation guides, sample policies, and custom prompts
• 90-day email support for implementation questions - Direct access to instructors for troubleshooting, guidance on specific use cases, and implementation advice as you apply training in practice
• Access to private alumni community for ongoing learning - Network with other AI-adopting attorneys, share use cases and results, and learn from peers’ successes and challenges
• Certificate of completion (CLE credit available in most states - 4 or 8 hours) - Satisfy continuing legal education requirements while building valuable skills; we handle CLE approval processes in major jurisdictions

Money-Back Guarantee: If you don’t identify at least 5 hours per week in time savings within 30 days of implementing what you learn, we’ll refund 100% of your registration. We’re confident this training delivers measurable value—and we put our money where our mouth is.

Next Steps

Transform your legal practice with AI skills that increase billable efficiency, improve client service, and position you for success in the AI-enabled future of law.

For Individual Attorneys: Register for our next public workshop session. Both Foundations Track and Mastery Track sessions run monthly in major legal markets and virtually. Visit our registration page to view upcoming dates and secure your spot. Group discounts available for 3+ attorneys from the same firm.

For Law Firms & Legal Departments: Schedule a consultation to discuss customized on-site training for your firm or legal department. We tailor content to your specific practice management systems, practice areas, and strategic priorities. Custom pricing available for groups of 10 or more, with substantial discounts for firm-wide deployment. We can develop specialized tracks for specific practice groups like litigation, corporate transactional, or real estate.

Free Resources: Download our Legal AI Readiness Assessment to evaluate your practice’s current state and identify high-priority opportunities. Access our webinar “5 AI Tools Every Attorney Should Know” to see live demos and real-world applications from practicing attorneys.

Contact us today at training@aiworkshop.com or call 1-800-AI-TRAIN to discuss your training needs. Our legal AI specialists—all practicing attorneys—are available to answer questions, provide guidance on the right track for your situation, and help you take the first step toward AI-powered legal practice excellence.

The future of legal practice is here, and it’s powered by AI. Don’t get left behind—invest in the skills that will define competitive advantage, professional success, and career advancement in modern legal practice.