The Prompt Library
Attorney-reviewed prompts for Claude, ChatGPT, and Gemini. Filtered by practice area, jurisdiction, and task — with built-in anti-hallucination safeguards on every prompt.
Draft a mutual NDA in seconds with clean modern language, carve-outs, injunctive relief, and optional non-solicitation clauses.
Risk-rank a contract from your client's side — unfavorable terms, missing protections, ambiguities, and suggested redlines tiered Critical/Important/Minor.
Turn raw facts and your theory of the case into a structured motion outline with anticipated counter-arguments and the strongest cases to cite.
Translate a dense legal concept into a 300-word client-friendly explanation with an analogy, situational risks, and clear next steps — no jargon.
Build a 3-version clause library — provider-friendly, balanced, customer-friendly — with use-case guidance for negotiation playbooks.
A polished 250-350 word post-consultation email that thanks the prospect, summarizes issues, and presents next steps and fees.
Send a clear, well-calibrated case status email — tone, depth, and urgency tuned to your specific client and matter posture.
Deliver bad news to a client without sounding defensive — clear narrative, options, recommendation, and an offer to discuss live.
Draft a partner-ready internal legal memo using IRAC — facts, issue, rule, application, and a confidence-rated conclusion with recommended next steps.
Build a side-by-side jurisdiction comparison covering statutes, elements, trends, and strategic forum-selection considerations.
Paste a fact pattern and get every viable claim, its elements, strength rating, and the missing facts you should chase down.
Generate a clear, balanced settlement memo that helps the client decide whether to accept, counter, or proceed to trial.
Get topic-organized deposition questions with foundation, fact-establishment, impeachment, and lock-in sections — plus flagged objection risks.
Draft interrogatories, RFPs, or RFAs that are specific enough to enforce and broad enough to capture what you actually need.
Send a clear, sub-250-word case status email with the most important update first, bulleted action items, realistic timelines, and an open invitation to call.
Generate a complete 6 to 10 page pro-buyer Letter of Intent with earnout structure, exclusivity, MAC clause, and automatic flagging of any clause deviating from market standard.
Strategic landscape analysis prompt that surfaces dominant assignees, claim-type trends, white-space gaps, and verified patent citations for a target tech.
Lock in system-level anti-hallucination rules so the AI flags uncertainty about legal standards, precedents, or market practice rather than fabricating plausible-sounding answers.
Generate a pro-buyer SPA indemnification section with caps, baskets, survival periods, and clause-by-clause annotations flagging market-standard vs aggressive positions.
Scan data room contracts and produce a structured red flag report with risk-scored matrix, executive summary, missing document list, and recommended seller follow-ups.
Auto-generate SPA disclosure schedules from a data room index with source-document citations, gap flags, and seller-to-confirm tags in a structured table format.
Generate a Material Adverse Change definition in two versions, pro-buyer broad and pro-seller narrow with carve-outs, plus annotations on which provisions face the strongest pushback.
Generate an H-1B employer support letter that maps job duties to the four specialty occupation criteria and avoids fabricated AAO/OOH citations.
Convert a raw USCIS RFE into a structured response: issue list, controlling standards, record evidence, new exhibits, executive summary, and evidence index.
A trademark clearance prompt that runs identical, phonetic, visual, and conceptual searches plus a DuPont-factor likelihood-of-confusion verdict.
A patent search prompt that forces the AI to flag every cited reference as VERIFIED or UNVERIFIED and stop fabricating claim quotes.
Produces a freedom-to-operate report skeleton with claim-element mapping, infringement risk ratings, defenses, and design-around suggestions.
Generates a full exclusive patent license agreement with the Interest Toggle set to pro-licensor — audit rights, reversion triggers, and grant-back included.
Draft a warm, plain-English welcome letter that sets timeline expectations, explains the contingency fee, and warns about recorded statements and social media.
Audit and itemize PI medical bills into a demand-exhibit-ready table with provider subtotals, duplicate detection, and adjuster-objection flags.
Build a comprehensive PI client deposition prep guide — 30+ likely questions, coaching notes, common traps, and a pre-dep checklist.
Build a deposition outline aimed at the defense IME doctor — targeting bias, exam adequacy, degenerative defenses, and concession questions.
Decide whether to accept, counter, or litigate a PI offer with a net-recovery comparison that factors fees, costs, venue, and policy limits.
Build the damages section of a PI demand letter with itemized economic specials and dual multiplier/per diem pain and suffering calculations.
Extract direct, temporal, and aggravation causation evidence from medical records — and flag every adverse 'degenerative' finding before the IME does.
Draft PI requests for production targeting incident reports, ESI, dashcam, training files, and corporate policies — with protective-order flags built in.
Draft a soft tissue demand letter that preempts every adjuster trick — minor property damage, treatment gaps, pre-existing conditions — with the eggshell plaintiff rule.
Generate a complete residential purchase agreement compliant with California real estate law, with built-in disclosures, contingencies, and citation safety.
Generate a 40-60 item due diligence checklist organized by category, with red flags and post-2024 regulatory items like CTA beneficial ownership reporting.
Produce a structured commercial PSA for office, retail, industrial, or multifamily acquisitions with reps, warranties, and due-diligence deliverables built in.
Turn a title commitment into a structured exception report with HIGH/MEDIUM/LOW risk levels, action items, and missing endorsements for the property type.
Produce a deadline-driven closing checklist plus an automated cross-check of purchase price, legal description, and party names across every closing document.
Run a clause-level risk assessment of any real estate contract from the buyer's or seller's perspective, with market comparison and recommended revisions.
A few-shot prompting example that shows the AI a sample limitation of liability clause, then asks it to draft a matching SaaS indemnification clause in identical style.
RCTFC-structured prompt that surfaces the top 5 risks in a software licensing agreement from the licensee's perspective, with clause cites and recommended revisions.
Review an MSA between a 50-person Delaware SaaS vendor and a Fortune 500 customer — top 5 vendor-side risks across liability caps, indemnification, and IP ownership.
Generate a clean, prioritized redline that protects your party without nuking the deal — bracketed deletions, bold additions, summary of changes at the end.
Quickly classify contract risks by severity, quote the exact language, explain why it bites, and get suggested alternative wording for each flag.
Generate a clean Master Services Agreement first draft with SOW structure, IP split, liability cap, mutual indemnification, and Delaware arbitration baked in.
Drafts a mutual NDA for M&A between Delaware corporations with a 2-year term, trade secret carve-out, standstill, 18-month non-solicit, and Chancery jurisdiction.
Drafts a non-compete clause that respects California Business and Professions Code Section 16600's near-total ban — uses the senior employment attorney role pattern.
A six-step chain-of-thought prompt that walks the AI through Texas non-compete enforceability under Tex. Bus. & Com. Code 15.50 with a final confidence rating.
Converts a dense indemnification analysis into a 300-word plain-English email for a non-lawyer CEO, ending with three decision questions for the client to consider.
A reference summary of the five core principles of legal prompt engineering — role, jurisdiction, context, structured output, anti-hallucination — proven across 200+ tests.
Definition entry explaining what legal prompt engineering is, why lawyers need it, and how it differs from generic prompting (jurisdictional accuracy, citation control, ethics).
Convert dense legal analysis into a clear, client-friendly explanation while preserving accuracy — minimal hallucination risk.
Paste the actual statutory text and get a plain-language breakdown of requirements, applicability, exceptions, penalties, and ambiguities.
Get a jurisdiction-specific research roadmap for any legal doctrine — frameworks, statutes, and regulators, no risky case citations.
Turn a framed legal issue into Boolean searches, statutory leads, alternative theories, and judicial vocabulary for Westlaw and Lexis.
Introduction to the prompt patterns that consistently produce reliable AI output for legal research and keep models inside the safe zone.
Drop in two versions of any document and get a clean comparison table — substantive changes, who they favor, risk levels, and ready-to-send counter-proposals.
One reusable template for first drafts of any legal document — feed in document type, practice area, brief facts, client type, and jurisdiction.
Reusable demand letter scaffold with placeholder variables — swap in practice area, jurisdiction, client details, dispute facts, and damages to draft any demand.
Produces a tiered GDPR gap analysis (immediate / 90-day / ongoing) for a US e-commerce client selling to EU customers, with the GDPR article and fine range for each item.
Generate a warm, professional consultation follow-up email with issue summary, next steps, and a soft call to action.
Turn your verified case list into a memo outline grouped by sub-issue, ordered persuasively — the AI works only with cases you provide.
Draft a direct, compassionate email delivering bad news to a client, explaining what happened and presenting next options.
Draft a warm cover email that introduces the engagement letter, summarizes the fee structure, and explains how to sign and return.
Generates a side-by-side comparison table of breach notification rules under California's CCPA/CPRA, Virginia's VCDPA, and Colorado's CPA — triggers, timelines, penalties.
Organize verified cases into a structured analysis with sub-issues, majority/minority positions, and circuit splits — closed-set, no added citations.
Run the same contract through three lenses — your client, the counterparty, and a neutral court — to surface trade space and a clean negotiation playbook.
A complete mega-prompt that produces a formal litigation memo analyzing defenses, independent creation, invalidity, and recommended next steps after a patent C&D.
Generates 15 FRCP Rule 33 interrogatories targeting a manufacturer's quality control, prior complaints, recall history, and internal defect communications.
Convert a factual scenario into a precise legal research question with sub-issues and key terms of art for Westlaw or Lexis searching.
Get a clean, four-part motion outline — issue framing, factual background, argument sections with sub-points, and pre-emptive rebuttals to counterarguments.
A drafting prompt for a Rule 12(b)(6) memorandum of law in the Southern District of New York invoking the business judgment rule against a fiduciary duty claim.
Identify every potential claim, defense, and counterclaim in a fact pattern using a senior-litigator persona with no case citations.
Generate a concise case status update email that summarizes recent developments and upcoming steps in a tone matched to the client.
Drafts an empathetic-but-firm email explaining why a $45K PI settlement offer is below the $120K-$150K case value, addressing the client's medical-bill pressure.
Review a commercial lease from the tenant's perspective: top 5 risks, missing protective clauses, ambiguous language, and section-specific redlines with proposed wording.
Pro members get the Prompt Runner: fill in variables, choose your model, run the prompt, and get output with anti-hallucination checks and reasoning traceability.