Field guides for lawyers who actually have to use AI

Large language models, explained for lawyers who have real work to do.

Hands-on guides, copy-paste prompts and hard-won rules for ChatGPT, Claude, Copilot and the legal AI platforms — written by a law-firm partner who has spent more than 1,000 hours in the tools, with every case, opinion and statistic checked against its source.

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Start here, by what you do

The guides, by topic

  1. 01LLM Fundamentals for LawyersHow large language models work, why they hallucinate, what context windows and RAG mean, and how to read benchmarks - the mental model every other cluster assumes.7 guides
  2. 02Prompting for Legal WorkFrameworks, prompt libraries, reasoning-model rules, long-document handling, Projects/custom GPTs and the mistakes lawyers make when talking to models.8 guides
  3. 03Use Cases by Legal TaskTask-level workflows with prompts and failure modes: research, contract review and drafting, due diligence, depositions, chronologies, summarisation, translation, e-discovery and client communication.12 guides
  4. 04AI by Practice AreaWhat works and what breaks for in-house, employment, IP, real estate, tax, family, criminal, estate and personal-injury lawyers.12 guides
  5. 05Tools and ComparisonsVendor-neutral guides to ChatGPT, Claude, NotebookLM, Copilot, Gemini and Perplexity, head-to-head comparisons of the legal platforms, pricing and DACH tools.12 guides
  6. 06Confidentiality and SecurityConsumer vs commercial tiers, training and retention settings, privilege rulings, litigation holds, anonymisation, local models, EU residency and vendor due diligence.9 guides
  7. 07Verification and Quality ControlThe citation-verification protocol, sanctions timelines in the US and Europe, citation checkers, what to do when a fake cite is filed and how to handle AI-drafted pro se filings.6 guides
  8. 08Ethics and Regulation by JurisdictionABA 512, state opinions, court standing orders, SRA, EU AI Act Article 4, BRAK/DAV/ÖRAK guidance, note-taker ethics and malpractice insurance.10 guides
  9. 09Business Development and PricingAI for BD, LinkedIn, RFPs, generative engine optimisation, billable-hour pricing, outside counsel guidelines and advertising rules.7 guides
  10. 10Careers, Agents and the FutureWhether AI replaces lawyers and juniors, the skills that matter, agents, Claude-native firms, vibe coding, sentiment and the statistics page.9 guides
  11. 11Firm Implementation and PolicyThe 90-day implementation playbook, policy template, shadow AI, tool bake-offs, MCP connectors, no-code automation and a plan for solos and small firms.7 guides
  12. 12Learning Paths and TrainingWhat AI training works, course comparisons, CLE requirements and what law schools teach - the cluster that leads directly to AI Lab for Lawyers.5 guides

Who writes this

Dr. Niklas Schmidt

Partner at Wolf Theiss Attorneys-at-Law, where he heads the firm-wide tax team; lawyer, author, TEDx speaker and technologist. He has spent well over 1,000 hours testing practical AI applications for legal work, runs a toolkit of roughly 80 AI tools in daily practice, founded the WT Crypto Academy (1,000+ participating lawyers) and has given around 450 talks over 20 years. He teaches the live course AI Lab for Lawyers on Maven.

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