Top 10 AI Tools Every Legal Professional in Mesa Should Know in 2025

By Ludo Fourrage

Last Updated: August 22nd 2025

Lawyer at a desk using AI-powered legal software on laptop with Mesa, Arizona skyline in background

Too Long; Didn't Read:

Mesa lawyers should master ten AI tools in 2025 - CoCounsel, Lexis+ AI, Relativity, Everlaw, Spellbook, Ironclad, Harvey, Clio Duo, LawDroid/Smith.ai, and Lex Machina - leveraging local 36 MW data‑center capacity, 2.6x drafting speed gains, 900K docs/hour processing, and 40% CLM cycle cuts.

Mesa lawyers should pay attention because Arizona is moving from discussion to governance and local infrastructure: Governor Katie Hobbs has convened an AI Steering Committee to build a statewide policy framework for responsible AI use across public and private sectors (Arizona Governor's Office announcement on the AI Steering Committee), while Mesa itself is becoming an AI hub with a new sustainable data center purpose-built for model training (36 MW capacity, waterless cooling, on-demand fiber) that changes where sensitive work can be hosted locally (Edged announcement: Mesa sustainable data center for AI model training).

Industry surveys show rapid GenAI adoption but persistent privacy and education gaps, so attorneys who secure client data and learn practical AI workflows will reduce malpractice risk and gain competitive advantage; practical training such as the AI Essentials for Work bootcamp can close that skills gap (Nucamp AI Essentials for Work bootcamp syllabus and course details).

AttributeInformation
ProgramAI Essentials for Work
Length15 Weeks
Courses includedAI at Work: Foundations; Writing AI Prompts; Job-Based Practical AI Skills
Cost (early bird)$3,582 (payments available)
RegistrationRegister for the Nucamp AI Essentials for Work bootcamp

“This isn't a topic for your partner retreat in six months. This transformation is happening now.” - Raghu Ramanathan, President of Legal Professionals, Thomson Reuters

Table of Contents

  • Methodology: How We Chose These Top 10 Tools
  • Casetext / CoCounsel - AI Legal Research & Drafting
  • Lexis+ AI - Conversational Legal Search with Verified Citations
  • Relativity - Enterprise eDiscovery and Predictive Coding
  • Everlaw - Cloud eDiscovery, Visual Trial Prep, and Analytics
  • Spellbook - Contract Drafting and Redlining in Microsoft Word
  • Ironclad - Contract Lifecycle Management with AI Clause Extraction
  • Harvey AI - Legal Copilot for Research and Secure Workflows
  • Clio (Clio Duo) - Practice Management with Embedded AI
  • LawDroid and Smith.ai - Client Intake & Virtual Receptionist Automation
  • Lex Machina and Premonition - Litigation Analytics for Strategy and Outcomes
  • Conclusion: Picking, Piloting, and Ethically Using AI in Your Mesa Practice
  • Frequently Asked Questions

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Methodology: How We Chose These Top 10 Tools

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Selection prioritized tools that align with Arizona-specific ethics and operational realities: each candidate was screened for clear data-handling and vendor-term disclosures, verifiable citation or provenance features, and features that support lawyer supervision and client consent requirements under the State Bar of Arizona's “Guidance for the Use of Generative Artificial Intelligence” (Arizona Bar AI guidance).

Practical checks included whether the vendor supports encrypted, access-controlled deployments (to avoid entering confidential client data into public models), whether outputs include sourceable citations for independent verification, and whether pricing/fee models permit transparent billing for AI-assisted work; these criteria mirror institutional risk frameworks such as Arizona State University's Digital Trust Guidelines for tool exploration and data classification (ASU Digital Trust guidelines).

Judicial and academic guidance - summarized in the University of Arizona's LibGuide on generative AI and court policies - shaped the final shortlist to ensure tools could be used without running afoul of local filing or disclosure norms (UA Law LibGuide: ChatGPT & generative AI).

The result: ten platforms that balance productivity gains with the confidentiality, competence, and disclosure duties Arizona lawyers must meet - so Mesa practitioners can pilot confidently while minimizing malpractice exposure.

CriterionWhy it matters in Arizona
Data handling & encryptionProtects client confidentiality and complies with Bar guidance
Provenance & verifiable citationsEnables independent verification before court filings
Vendor terms & IP clarityAvoids unwanted training/use of sensitive inputs
Supervision & auditabilityMeets duties to supervise attorneys and staff

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Casetext / CoCounsel - AI Legal Research & Drafting

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CoCounsel (formerly Casetext), now offered by Thomson Reuters, is a purpose-built AI assistant that matters for Mesa attorneys because it merges Westlaw and Practical Law authority with agentic workflows that speed document review and drafting - Thomson Reuters cites a 2.6x boost in review and drafting speed and features like Deep Research, Word-based drafting with embedded Westlaw KeyCite flags, and the ability to upload firm documents for comparison or timeline creation (CoCounsel AI legal assistant product page - Thomson Reuters).

For Arizona practice this means faster first drafts and more efficient triage on high-volume matters (depositions, PI files, transactional templates) while keeping outputs tied to verifiable sources; CoCounsel's integration across Westlaw and Practical Law also helps meet the State Bar's expectation that AI-assisted results be independently checked.

Early-adopter reports note powerful depo prep and memo generation but recommend human verification and careful prompt design - useful gains, provided Mesa firms pair the tool with local rules and firm-level supervision (Co-Counsel and Westlaw AI updates summary).

“The AI-generated summary of results above the list of primary law authority can be extraordinarily useful for getting an overview of the issues and pointers to primary authority, but it should never be used to advise a client, write a brief or motion for a court, or otherwise be relied on without doing further research. Use it to accelerate thorough research. Don't use it as a replacement for thorough research.”

Lexis+ AI - Conversational Legal Search with Verified Citations

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Lexis+ AI's Protégé brings conversational legal search to Mesa lawyers while keeping citations verifiable: ask a natural-language question about Arizona law, get a draft or summary tied to linked authorities, and see Shepard's “At Risk” indicators directly in results so problematic precedents are flagged before they reach a brief - a single orange alert can save hours of follow-up and prevent relying on destabilized Arizona authority.

The platform supports jurisdiction defaults (useful for prioritizing Arizona cases and statutes), secure document uploads into encrypted Protégé Vaults for localized research, and mobile access for on-the-go drafting and Shepardizing.

For firms balancing speed with the State Bar's verification duties, Lexis+ AI combines sourceable outputs with built-in citation validation to make AI-assisted research defensible in filings and client work (Lexis+ AI legal research platform for lawyers, Shepard's citation validation enhancements at LexisNexis).

FeatureDetail
Shepard's “At Risk” alertsIntegrated into Protégé search/results to flag weakened precedents
Protégé Vault limitsUp to 50 Vaults; 1–500 documents per Vault; non‑Vault uploads purged after sessions; results retained 90 days
Measured ROILaw firm and corporate studies cited ROI (e.g., 344% law firms; 284% corporate legal depts.)

“We are committed to a diverse and wide set of large language models in the legal space - and the speed at which we investigate new models, experiment with them and deploy them is unmatched. We are focused on delivering the highest-quality answers to our customers with unparalleled speed and driving trusted results in areas that customers have indicated are their top priorities.” - Jeff Pfeifer, Chief Product Officer, LexisNexis Legal & Professional

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Relativity - Enterprise eDiscovery and Predictive Coding

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RelativityOne is built for enterprise-scale e-discovery that matters to Mesa firms facing tight production deadlines, regulatory requests, or data‑breach response: collect and preserve ESI directly from Microsoft 365, Google Workspace, Slack, and even ChatGPT Enterprise without leaving a secure cloud workspace, process native files at scale, and move prioritized data into review queues with AI-assisted first‑pass review to surface what's important fast (RelativityOne e‑Discovery features).

Relativity's generative AI suite, Relativity aiR, accelerates review and flags privilege risk so teams can reduce disclosure exposure while turning hours of audio/video into searchable transcripts - so Mesa practitioners can meet Arizona production timelines and protect PII with fewer vendor handoffs (RelativityOne platform overview).

CapabilityBenefit for Mesa Practices
Preserve & collect ESIDirect cloud connectors for common enterprise apps reduce collection time
Relativity aiR (Review & Privilege)AI surfaces impactful content and pinpoints privileged material
High-speed processing & scalingFaster native-file readiness for tight court or regulatory deadlines
Redaction & PII protectionIntegrated redaction for images, PDFs, and spreadsheets
Audio/video transcriptionConvert media into searchable evidence without switching tools

“Relativity helps us organize all the streams of evidence and provides the analytics capabilities we need to conduct an intelligent investigation, fast. Having mastery of the facts, with certainty, changes the game entirely.” - Bennett Borden

Everlaw - Cloud eDiscovery, Visual Trial Prep, and Analytics

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Everlaw's cloud-native eDiscovery platform is built for Mesa practices that juggle remote depositions, multimedia evidence, and fast production windows - its engine can process up to 900K documents per hour and includes instant audio/video transcription so Zoom deposition clips and body‑cam footage become searchable evidence rather than review bottlenecks (Everlaw cloud-native eDiscovery platform overview).

Native cloud connectors let teams pull data directly from Microsoft 365, Slack, Box, and Zoom without manual exports, reducing vendor handoffs and speeding defensible collection for Arizona matters (Everlaw cloud connectors for Microsoft 365, Slack, Box, and Zoom).

For cases where remote calls and A/V files drive the record, Everlaw's best practices for handling Zoom and other audio/video evidence outline practical collection and processing workflows that map to real-world court discovery needs (Handling Zoom and audio/video data in eDiscovery: Everlaw guide).

The bottom line: searchable transcripts plus AI predictive-coding prioritization turn multimedia-heavy matters from a time sink into actionable leads for faster, defensible Arizona filings.

FeatureBenefit for Mesa Attorneys
900K docs/hour processingFaster case readiness for tight production deadlines
Audio/video transcriptionMakes Zoom depositions and media evidence searchable
Cloud connectors (M365, Slack, Zoom)Reduces manual collection and vendor handoffs
AI predictive coding & visualizationsPrioritizes review and reveals hidden relationships

“It is really intuitive... The storybuilder is particularly helpful...” - Verified user on G2

Fill this form to download the Bootcamp Syllabus

And learn about Nucamp's Bootcamps and why aspiring developers choose us.

Spellbook - Contract Drafting and Redlining in Microsoft Word

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Spellbook embeds a GPT‑5‑powered AI copilot directly in Microsoft Word so Mesa transactional teams can draft, redline, and benchmark agreements without leaving the client document - reducing copy‑paste, version splintering, and review time (Spellbook advertises “draft and review 10x faster”) while offering SOC 2 Type II security and zero‑data‑retention controls that map to Arizona confidentiality concerns; practical features like Playbooks, the new Associate multi‑document workflows for bundled closings, and redlines that appear under the attorney's name mean firms can close routine deals faster and keep oversight intact.

Start small - use the Spellbook Word add‑in for AI redlining and the step‑by‑step AI redline guide during a 7‑day free trial to validate time savings on NDAs or vendor agreements before scaling across practice groups.

FeatureWhy it matters for Mesa lawyers
Word add‑in (in‑document redlines)Keep workflow in Word - faster edits, fewer version issues
SOC 2 Type II + zero data retentionAligns with client confidentiality and ethical duties
Associate (multi‑document workflows)Manage M&A, real‑estate, and multi‑document deals efficiently
7‑day free trialLow‑risk pilot for small Arizona matters (NDAs, vendor contracts)

“I love Spellbook. I use it every day. It saves me at least one hour, sometimes two hours, a day.” - Diego Alvarez‑Miranda, Estate Planning Lawyer, CunninghamLegal

Ironclad - Contract Lifecycle Management with AI Clause Extraction

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Ironclad's contract lifecycle management (CLM) brings AI clause extraction and workflow automation to Mesa firms that need fast, auditable control over high‑volume agreements: the platform's AI-powered repository and “Jurist” drafting assistant surface key terms, generate redlines, and feed a single source of truth so teams can spot renewal, indemnity, or payment‑term risk across hundreds of vendor files in minutes rather than days - Ironclad's materials note CLM automation can cut cycle times by up to 40% and AI review work substantially in 2025.

For Arizona practice this matters because built‑in e‑signature, integrations with Salesforce/Microsoft, encrypted storage, and in‑app audit trails help meet State Bar expectations around client confidentiality and supervision while keeping contract data searchable for compliance or litigation holds; evaluate Ironclad's platform and CLM primers to see how customizable workflows map to local intake and approval rules (Ironclad contract lifecycle management (CLM) platform, What is Contract Lifecycle Management? - CLM explained).

FeatureBenefit for Mesa attorneys
AI clause extraction & JuristFaster redlines, clause search, and draft generation
Workflow automationReduce approval bottlenecks and enforce playbooks
Integrations & e‑signatureKeep contracts connected to CRM and execute securely
Repository & analyticsCentralized, auditable record for renewals, obligations, and audits

“If we didn't have Ironclad, could we extend a day to have 48 hours, instead of 24? Because that's what we'd need.” - Anushree Bagrodia, Senior Managing Counsel & Legal Transformation Lead, Mastercard

Harvey AI - Legal Copilot for Research and Secure Workflows

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Harvey AI positions itself as a domain-specific legal copilot that matters for Mesa lawyers by combining rapid, citation‑backed research with enterprise‑grade security and secure project workspaces: its Assistant and Knowledge features promise grounded answers with accurate citations, while the Knowledge Vault lets firms upload and analyze thousands of documents inside encrypted, access‑controlled workspaces so client files never need to touch public models (Harvey AI legal AI platform).

Importantly for Arizona practice, a 2025 strategic alliance brings LexisNexis content and Shepard's citation validation into the Harvey experience, enabling citation‑supported answers and co‑developed workflows (motions to dismiss, summary judgment) that make preliminary drafts more defensible before human verification (LexisNexis and Harvey strategic alliance with Shepard's citation validation).

Anthropic's Claude is also available across Harvey for long‑context reasoning, so Mesa teams handling large dockets or multi‑contract due diligence can get faster, reviewable work product - use Harvey to speed first drafts and triage, but pair outputs with local rule checks and supervised attorney review.

“Our customers trust LexisNexis for authoritative legal content, and we're excited that they will benefit from LexisNexis capabilities within the Harvey experience. Together, we're delivering seamless access to reliable, citation-backed answers and custom workflows, making legal work faster and easier than ever.” - Winston Weinberg, CEO of Harvey

Clio (Clio Duo) - Practice Management with Embedded AI

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Clio Duo embeds legal AI directly into Clio Manage so Mesa attorneys can pull matter summaries, find documents, and automate routine entries without exporting client files to public models - a practical win for local firms juggling high caseloads and tight Arizona deadlines.

Ask Duo for a matter catch‑up and it will surface upcoming deadlines, document summaries, and even activity recommendations (examples include flagging matters with billable activity above a preset threshold, e.g., $1,500) so missed time and missed deadlines become visible before they hit the ledger; use the Document Analyzer to extract cited details and save summaries to the file for later verification.

Available as an add‑on to Essentials, Advanced, and Complete plans and designed to operate inside Clio's secure environment with audit logs and controls (Clio says Duo data is not used to train external models), the tool helps satisfy Arizona confidentiality and supervision expectations while speeding client communications and billing workflows - a concrete way to reduce malpractice exposure and capture revenue that often slips through the cracks (Clio Duo legal AI product features and security, Clio Duo matter and activity recommendations guide).

FeatureBenefit for Mesa attorneys
Matter summaries & recommendationsPrioritize urgent cases, surface unbilled work (example threshold: $1,500)
Document AnalyzerSummarize, extract key dates/parties, and link citations to original files
Time entries & task automationReduce context switching and improve billing accuracy
Secure, auditable deploymentData stays in Clio Manage; audit logs support supervision and disclosure duties

“Clio Duo has really improved how we communicate with our clients. Its ability to suggest and draft responses right from Clio Manage has made our job less stressful and much more efficient.” - Sarah Harris, Harris & Schroeder, PLLC

LawDroid and Smith.ai - Client Intake & Virtual Receptionist Automation

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For Mesa firms that lose clients when intake lags, pairing LawDroid's no‑code chatbots with Smith.ai's hybrid AI + live receptionist model creates a practical 24/7 funnel: LawDroid Builder spins up web chat agents and intake flows (lead capture, conditional interviews, document assembly) while Smith.ai instantly answers or escalates phone leads to North American, legally trained agents - so web traffic converts before it cools (2 of 3 potential clients say rapid response is the single biggest factor in hiring a firm).

Start small: LawDroid's Builder and Copilot tiers support DIY automation and document workflows, and Smith.ai's plans let firms pilot pure-AI answering from $97.50/month or hybrid live coverage from $292.50/month for 30 calls, trading off cost and guaranteed human escalation.

For Arizona practices that must protect privilege and supervise intake, this combo reduces missed calls, standardizes intake questionnaires, and feeds verified lead data into Clio or your CRM for defensible intake and faster matter opening - test a bot‑to‑receptionist handoff on one practice area before scaling firmwide (LawDroid Builder review and pricing for law firm intake automation, Smith.ai hybrid answering and pricing guide for legal reception services).

ProductModel / Starting priceKey intake capability
LawDroid (Builder / Copilot)Builder starts $99/user/mo; Copilot $25/user/moNo-code chatbots, lead capture, conditional intake, document automation
Smith.aiAI receptionist $97.50/mo (30 calls); Hybrid AI+human from $292.50/mo (30 calls)Hybrid AI screening, live escalation, CRM sync, bilingual scripts

“I am extremely pleased. The ease of use, reasonable cost, and very professional staff have made this one of my best business decisions of the past year.” - Kevin Levine, immigration attorney

Lex Machina and Premonition - Litigation Analytics for Strategy and Outcomes

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Lex Machina turns millions of dockets into practical playbooks Mesa lawyers can use to pick venues, size risk, and time motions: its Legal Analytics platform (now integrated with Protégé) exposes judge- and court-level patterns - time‑to‑trial/termination, motion metrics, findings and damages - that let attorneys prioritize whether to file a contested motion or push for settlement in the District of Arizona or in federal appeals Lex Machina legal analytics product page.

The recent Full Federal expansion means the platform now delivers outcome-driven analytics across every federal district civil case, so bench behavior is comparable coast‑to‑coast and local counsel can benchmark opposing firms and judges against national baselines LawNext article on Lex Machina Full Federal expansion.

For Arizona practice, that translates into a concrete advantage: quickly see a judge's motion‑grant rates and pacing to decide whether an aggressive motion practice or an early settlement posture better serves the client while building a defensible, data‑backed litigation budget and strategy.

CapabilityWhy it matters for Mesa attorneys
Full federal outcome analytics (3.7M+ civil cases)Compare District of Arizona judges to national peers for motion/appeal strategy
Litigation Footprint (27M+ cases; state & federal)Map a company's litigation history across jurisdictions to inform venue and discovery plans
Judge & motion metrics; timing eventsUse motion win‑rates and time‑to‑termination to decide cost/benefit of moving vs. settling

“Legal Analytics are only as powerful as their level of accuracy and comprehensiveness.” - Ellen Chen, Legal Data Lead for full Federal

Conclusion: Picking, Piloting, and Ethically Using AI in Your Mesa Practice

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Choosing and scaling AI in Mesa means three practical steps: pick tools that prove secure, auditable deployments and clear vendor terms; pilot narrowly with measurable goals; and formalize oversight so ethical, disclosure, and IP risks are managed before broad rollout.

Follow vendor‑diligence and governance guidance (assemble a multidisciplinary team, codify policies, and map data rights) from the LexisNexis AI Technology Legal Risks Checklist (LexisNexis AI Technology Legal Risks Checklist), consider local hosting or secure workflow options such as MESA COPILOT for ESG/GRC/finance needs (MESA COPILOT generative AI overview), and run a focused pilot using a proven checklist so a well‑scoped GenAI pilot can move from idea to production within about 90 days.

Close the loop by training people (for example, through the Nucamp AI Essentials for Work syllabus), measuring time‑savings and error reduction on one practice area (intake, NDAs, or document review), and requiring human verification on any output used in filings or client advice (Nucamp AI Essentials for Work syllabus and registration).

This sequence preserves client confidentiality, limits malpractice exposure, and turns AI from a risky experiment into a repeatable productivity engine for Mesa firms.

AttributeInformation
ProgramAI Essentials for Work
Length15 Weeks
Core coursesAI at Work: Foundations; Writing AI Prompts; Job‑Based Practical AI Skills
Cost (early bird)$3,582 (payment plans available)
Register / SyllabusNucamp AI Essentials for Work syllabus and registration

“This isn't a topic for your partner retreat in six months. This transformation is happening now.”

Frequently Asked Questions

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Which AI tools should Mesa legal professionals prioritize in 2025 and why?

Prioritize tools that balance productivity with secure, auditable deployments and verifiable outputs: CoCounsel (Casetext) and Lexis+ AI for citation-backed legal research and drafting; Relativity and Everlaw for enterprise eDiscovery and multimedia transcription; Spellbook and Ironclad for contract drafting and CLM; Harvey AI for secure legal copilots and Knowledge Vaults; Clio Duo for practice management with embedded AI; LawDroid + Smith.ai for intake automation; and Lex Machina (and Premonition) for litigation analytics. These tools were selected for data-handling controls, provenance/citations, supervision/audit features, and vendor-term clarity to meet Arizona Bar guidance and local operational realities.

How do Arizona-specific rules and infrastructure affect AI tool choice for Mesa firms?

Arizona guidance (State Bar of Arizona on generative AI) and local infrastructure influence selection: choose vendors with encrypted, access-controlled deployments to avoid exposing confidential client data to public models; prefer outputs with verifiable citations or provenance for defensible filings; ensure vendor terms avoid unwanted use of firm inputs for model training; and favor tools with supervision, audit logs, and deployability within secure or local hosting environments - especially now that Mesa has increased local data‑center capacity and the state is building AI governance frameworks.

What practical steps should Mesa firms take to pilot and scale AI safely?

Follow a three-step approach: 1) Pick tools that demonstrate secure, auditable deployments and clear vendor terms; 2) Pilot narrowly with measurable goals (e.g., reduce NDA review time or speed intake conversion), run a focused pilot over ~90 days, and track time‑savings and error reduction; 3) Formalize oversight - assemble a multidisciplinary governance team, codify policies on data classification and client consent, require human verification for any output used in filings, and map data rights. Use training (for example, the AI Essentials for Work bootcamp) to close skill gaps and reduce malpractice risk.

How can Mesa firms protect client confidentiality and meet ethical duties when using AI?

Protect confidentiality by using tools or deployment options that provide encryption, access controls, zero-data-retention or private-model options, and in‑app audit logs. Avoid sending privileged client data to unmanaged public models. Ensure outputs include citations or provenance for independent verification and maintain supervision/audit trails to meet duties of competence and supervision under Arizona rules. Where possible, host sensitive work in secure local or vendor-controlled environments and document vendor-diligence steps.

What training and resources are recommended to close the AI skills gap for Mesa legal teams?

Practical, role-based training is recommended - examples include the AI Essentials for Work program (15 weeks; core courses: AI at Work: Foundations; Writing AI Prompts; Job-Based Practical AI Skills) to teach secure workflows, prompt design, and supervision practices. Also adopt vendor-specific pilots (Spellbook Word add-in for contract redlines, LawDroid/Smith.ai for intake) and use checklists such as the LexisNexis AI Technology Legal Risks Checklist and local institutional guidelines to structure governance and measurable pilots.

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Ludo Fourrage

Founder and CEO

Ludovic (Ludo) Fourrage is an education industry veteran, named in 2017 as a Learning Technology Leader by Training Magazine. Before founding Nucamp, Ludo spent 18 years at Microsoft where he led innovation in the learning space. As the Senior Director of Digital Learning at this same company, Ludo led the development of the first of its kind 'YouTube for the Enterprise'. More recently, he delivered one of the most successful Corporate MOOC programs in partnership with top business schools and consulting organizations, i.e. INSEAD, Wharton, London Business School, and Accenture, to name a few. ​With the belief that the right education for everyone is an achievable goal, Ludo leads the nucamp team in the quest to make quality education accessible