LEGAL DATA ANALYSIS

Turn raw litigation data into strategic leverage. Run predictive and regression analysis, uncover patterns in judges and opposing counsel, and translate numbers into arguments your legal team can use.

• Predictive analytics for case billing & outcomes
• Assessing judge rulings & opposing counsel patterns
• Regression analysis
• Case Study: The Alex Murdaugh trial & digital evidence
• Demos: Using Relativity for litigation outcome predictions & regression analysis in Excel
• Workshop: Regression analysis & presentation

Assignment #4: Early Case Assessment
Using provided litigation data, create a recommendation for the partner with your data-backed reasoning and expected cost/outcome ranges.

Turn contracts into clear signals. Use data and AI tools to extract key clauses, flag hidden risks, and build faster review workflows that save time and money.

• Extracting key clauses & risk terms
• Using AI to flag anomalies & risks
• Cost-saving insights from contract data
• Automating contract review workflows
• Case Study: Walmart opioid settlement & contract/risk controls
• Demo: AI-assisted contract analysis tools

Use data to spot compliance gaps before regulators do. Apply risk analytics to monitor obligations, pressure-test real scenarios, and turn “we hope we’re compliant” into “we know we are.”

• Using data to identify compliance gaps
• Monitoring regulatory obligations
• Case Studies: Maintaining compliance
• Workshop: Spotting the risk & picking the fix

Translate legal spend and operational data into actionable insights. Track costs, forecast budgets, and optimize efficiency with hands-on dashboards, KPIs, and templates you can use.

• Tracking billing & vendor spend with data
• Legal ops KPIs
• Data driven budgeting & forecasting
• Legal spend management platforms
• Workshop: Legal Spend Audit

Turn complex data into visuals that make sense. You’ll build dashboards, tell stories with charts, and use AI and Excel automation to make insights clear and impossible to ignore.

• Importance of visuals
• Visual data storytelling
• Best practices for legal dashboards
• AI-assisted visualization tools
• Demo: Building automation in Excel using Macros
• Workshop: Building a simple dashboard

Assignment #5: Spend Dashboard
Build a Power BI or Excel dashboard that tracks: outside counsel spend by matter type, budget vs. actual, cost per matter, and flags matters exceeding budget by 20%+. Include 3 cost-saving insights for leadership.

Design simple legal workflows that save time without cutting corners. Explore how AI and automation can handle repetitive tasks, spot potential pitfalls, and stay ethical.

• AI vs. automation
• Potential pitfalls when working with AI
• Automating repetitive paralegal tasks
• Ethical & professional considerations of AI
• Demos: Data-scraping & e-discovery
• Workshop: Creating an automated scheduling system

Spot the future of law in action. Explore how AI, predictive analytics, and smart contracts are reshaping legal workflows, roles, and day-to-day work — and get a hands-on look at the tools driving these changes.

• Predictive litigation, AI-powered due diligence, smart contracts
• The rise of legal ops platforms
• The future of paralegal & associate roles in data-driven firms
• Demo: Cutting-edge legal tech tools

Assignment #6: Automation ROI Proposal
Pick one repetitive task. Document current time/cost, design an automated workflow using AI/no-code tools, and calculate projected annual savings. Present a business case.

Translate your legal data know-how into a career that stands out. Learn how to pitch your skills, craft a portfolio, navigate cross-team communication, and position yourself confidently on LinkedIn, resumes, and interviews.

• Career paths
• Communication strategies for cross-disciplinary teams
• How to position your new skills: Resume, LinkedIn, interviews
• Building a personal portfolio
• Final Q&A

Assignment #7: LinkedIn Story
Draft a short “skills story” for LinkedIn.

Final Project: The Legal Analytics Impact Project
Use a legal dataset (litigation, contracts, compliance, or legal spend), OR anonymized data from your workplace to: define a concrete legal business problem; prepare and document the dataset; identify ethical and data risks; conduct descriptive and basic predictive analysis, translate findings into actionable recommendations; and build an executive-ready deliverable.