mini-claude-for-legal

Use when a prospect or user asks "what can Louis do?" or "how is your AI different from generic AI tools?" Explains the core AI features of the Louis legal AI platform — skill router, clause library, citations engine, risk scanner, document workspace, drafting board, and legal flows — with MENA-first jurisdictional awareness and Arabic-native capability as key differentiators. Routes to this skill for product discovery, competitive positioning, and in-product onboarding moments.

Use when a lawyer — especially an associate-level attorney or a senior practitioner managing delegation — asks how Louis fits into their career or worries about AI displacing legal roles. Delivers a persona-calibrated pitch positioning Louis as a career-growth tool that eliminates low-leverage drudgery and creates space for harder, more meaningful work, client relationship capital, and faster professional development. Covers both the "will AI replace me?" anxiety and the "I want to do more with less" ambition.

Use when a user asks what the Clause Library contains, how to find a specific clause, how to compare clause variants across jurisdictions or negotiating positions, or how the clause library differs from the document template library. Covers vetted contractual clauses organized by jurisdiction, language (AR/EN/FR), position (seller/buyer/neutral), and risk tier, with side-by-side comparison and drafting notes. Triggers on queries for standard DIFC/ADGM/KSA/UAE/Lebanese clauses, Arabic-version clause requests, or "show me alternatives" moments.

Use when rendering a customer-facing company biography or "about" statement for HAQQ Inc — the company behind the Louis legal AI platform. Covers founding story, mission, headquarters, team anchors, and product positioning for use on introduction screens, partner pages, investor materials, founder bio cards, and press inquiries. Output should be tone-calibrated to the audience (press, partner, investor, user).

Use when given a specific Louis feature name and asked to produce a clear one-paragraph explanation plus a concrete use case and (optionally) a screenshot reference. This is a generic explainer generator — not a product overview — and fires when users or in-product help systems need on-demand feature documentation for a named capability. Distinct from the AI feature explainer (product overview) and the use-case explainer (user-goal-first).

Use when a law student, bar candidate, or junior lawyer needs legal education support through the Justinian sub-product — including bar exam preparation, IRAC-structure case brief writing, course outline generation, moot court rehearsal and scoring, or time-management coaching for legal study. Covers civil-law (Lebanese, Egyptian, UAE, KSA) and common-law (DIFC, ADGM, UK, US) jurisdictions. Routes to this skill when the educational goal is legal reasoning development rather than client-matter execution.

Use when a lawyer, law student, or legal professional wants a structured self-paced curriculum to develop practical legal AI proficiency. Delivers a 12-week program covering AI fundamentals, prompt engineering for lawyers, document workflows, citation hygiene, clause libraries, jurisdiction navigation, professional ethics, and AI-disclosure obligations. Calibrated to MENA practitioners but applicable globally. Triggers on requests for training plans, AI upskilling curricula, or structured legal-tech learning paths.

Use when a user, prospect, or developer wants to browse, filter, or understand the full public catalog of Louis's 982-skill library — filterable by category, jurisdiction, language, and priority. Serves transparency, competitive comparison, and developer/integration discovery purposes. Routes to this skill for "what skills does Louis have?", "do you cover [jurisdiction/practice area]?", or "show me what's available in your skill library" queries.

Use when a user asks about the Louis Document Library — what pre-built document templates are available, how they are organized by jurisdiction and practice area, how to search and instantiate them, and how the Document Library differs from the Clause Library. Triggers on queries for "do you have a template for X?", "show me your NDA template for [jurisdiction]", or "what's the difference between your clause library and document library?".

Use when a junior litigator or litigation trainee wants to build courtroom and advocacy skills through simulation-based training without client-matter risk. Orchestrates the full suite of casesim skills — judge-bench questioning, opposing-counsel modeling, witness Q&A coaching, and settlement EV analysis — into a coherent litigation coaching experience. Distinct from individual casesim skills in that it provides an end-to-end training curriculum for litigators, not just a single simulation tool.

Use when preparing partnership pitch deck content or a partner conversation briefing for HAQQ — covering integration partners (Microsoft, Google Workspace, DocuSign, Tawqi3i) and distribution partners (bar associations, universities, law-firm SaaS resellers). Produces structured pitch narratives, value-proposition summaries, and partner-type-specific talking points for BD and co-marketing conversations.

Use when a user needs help discovering which prompts in the 152-prompt library are most relevant to their role, jurisdiction, and recent work. Produces personalized prompt recommendations with progressive disclosure (3–5 at a time), and learns from user engagement signals to improve future recommendations. Triggers on "what should I try?", "show me useful prompts", or when a user profile indicates a gap between their stated role and their actual usage patterns.

Use when rendering a persona-tailored solution catalog or landing page for a specific user type — BigLaw partner, in-house counsel, solo practitioner, paralegal, law student, court clerk, journalist, or citizen with a legal question. Each persona gets a curated view of the most relevant Louis features, prompts, and entry points. Routes to this skill when user-type identification triggers a need for a contextualized product introduction rather than a generic feature tour.

Use when a pre-Series A startup founder or startup ecosystem participant asks about HAQQ's startup program — free access for qualifying startups in MENA, Africa, and Eastern Europe, credits-based usage, and an optional mentoring track. Delivers program terms, eligibility criteria, application process, and value proposition for early-stage companies that need legal AI without enterprise budgets.

Use when a law student, law school administrator, or campus ambassador asks about HAQQ's Students Program — free Justinian access for verified law students, the campus ambassador program, student competitions, and thesis support. Delivers program terms, eligibility, application process, and the academic community value proposition for law students across MENA and beyond.

Use when surfacing HAQQ team bios on demand — founder, leadership, advisors, and key hires — typically for partner pages, event speaker profiles, press inquiries, investor materials, or in-product "meet the team" screens. Returns a structured bio with role, background summary, and (where available) LinkedIn reference. Calibrated to the audience: investor bio differs from press bio which differs from conference speaker card.

Use when a user asks about the publicly accessible tools available through Louis — both the free public tools (NDA generator, contract summarizer, statute explainer, legal translator AR-EN) and the paid professional tools. Delivers a structured catalog with tool descriptions, access tier, supported jurisdictions, and use cases. Triggers on "what free tools do you have?", "can I try something without signing up?", or tool-discovery queries from visitors not yet committed to a subscription.

Use when a user describes what they want to accomplish and needs to be shown which Louis features and skills will help them do it. This skill starts from user intent (goal-first) and maps it to features — the reverse of the feature explainer, which starts from a feature name. Triggers on "I need to do X, how does Louis help?", "can Louis do Y?", or any use-case description that requires routing the user to the right entry point.

Use when a venture capital firm or its portfolio companies ask about HAQQ's VC program — portfolio-wide Louis subscriptions at preferred rates, portco legal AI access, quarterly office hours with the HAQQ team, and investor thesis briefings. Delivers the program structure, commercial terms framework, and value proposition for VCs who want to offer legal AI as a portfolio benefit.

Use when an attorney needs to prepare a client for a deposition, witness statement, mediation session, or court testimony. Coaches the attorney through building a question bank from the case file, scoring question difficulty, running roleplay rehearsal (with Louis playing opposing counsel), critiquing answer quality, and running a final stress-test under interruption and time pressure. Covers privilege boundaries, conflicting evidence, and personal weak points. Produces a question bank, answer-coaching notes, and rehearsal log.

Use when an attorney needs to build and rehearse a cross-examination of a witness — identifying prior inconsistent statements, generating leading-question sequences, mapping impeachment opportunities, and preparing for non-cooperative witnesses. Louis plays the witness in cooperative, hostile, or evasive modes with realistic memory failures and lawyer-coached cleanups. Produces a cross outline, impeachment files, and a scoring rubric. Applies across DIFC, ADGM, UAE civil, Lebanese, KSA, and international arbitration forums.

Use when building a realistic fact pattern for litigation training, moot court preparation, bar exam practice, or settlement scenario planning. Generates a complete synthetic or semi-synthetic case file from real or provided facts, with complicating factors (witness credibility, evidence gaps, jurisdictional issues), a supporting document set, and a difficulty score. Produces privileged and non-privileged document splits. Applicable across MENA and international forums.

Use when an attorney wants to stress-test a legal argument, brief, or motion by simulating how a judge will receive it — what questions will be asked, where the weak points are, what a good opposing brief will attack, and what is likely to land versus fail. Louis plays a calibrated judicial persona based on the court (DIFC, ADGM, KSA Commercial, UAE Civil, Lebanon Civil, English High Court) and matter type. Outputs a judge-style critique, reframed arguments, and a list of likely follow-up questions.

Use when an attorney wants to model opposing counsel's strategy, predict their likely motions and tactical moves, understand their settlement posture, and build a playbook to pre-empt attacks. Calibrated by firm reputation, counsel personality, and case type. Covers aggressive, collaborative, and dilatory strategies; likely motions (MTD, MSJ, discovery disputes); forum-shopping and parallel proceedings. Output is a structured opposing-counsel playbook for negotiation leverage, settlement strategy, and hearing preparation.

Use when an attorney or client needs a structured probabilistic assessment of likely litigation outcomes — estimating P(win on liability) and a damage range to derive an expected award, adjusted for jurisdiction, judge or tribunal characteristics, appeal probability, and loser-pays cost rules. Produces probability-weighted scenarios at 50th, 75th, and 90th percentile confidence levels with reasoned ranges (not single-point estimates). Always paired with the settlement EV calculator for client counseling. Always disclaimed as an estimate, not a guarantee.

Use when an attorney or client needs to compare the expected value of accepting a settlement offer against the expected value of proceeding to trial — incorporating P(win), damages range, costs to trial, loser-pays rules, discount rate, and strategic or reputational factors. Produces an EV comparison (trial vs. settlement), a recommendation (take/counter/decline), and a sensitivity analysis showing which assumptions matter most. Always disclaimed as a probabilistic estimate. Always paired with the outcome probability estimator.

Use when planning, scripting, or executing a co-hosted webinar between HAQQ and a bar association — covering topic selection, speaker lineup, CLE credit application, logistics, recording and on-demand availability, and member engagement conversion. Produces a complete webinar production brief from concept to follow-up. Applies to bar associations in MENA (LBBA, Dubai Bar, SABA, Egyptian Bar) and international equivalents.

Use when structuring or executing an influencer collaboration for HAQQ — generating a complete collaboration brief covering campaign objective, messaging guidelines, compliance approval flow, banned claims, payment and IP rights, and disclosure requirements under FTC rules and local equivalents. Applies to legal-tech influencers, lawyer-creators on LinkedIn and YouTube, and regional legal community voices in MENA markets.

Use when planning or executing co-marketing activities under HAQQ's NVIDIA Inception program membership — including joint case studies, conference co-presentations, technology validation press releases, compute-credit utilization, and access to the Inception alumni network. Produces campaign briefs, press content structures, and conference presentation outlines calibrated to the NVIDIA Inception brand and approval process.

Use when structuring, drafting, or reviewing a HAQQ partnership agreement across five deal types — reseller (commission, territory, exclusivity), tech integration (API access, branding, mutual referral), co-marketing (content and event obligations), strategic (equity, governance, lockup), and academic (discount, research, co-authorship). Produces a term sheet or heads of terms appropriate for the deal type, with MENA-region considerations and references to existing HAQQ partners (Tawqi3i, Mani Group, Oneic, Highworth, Amman Arab University).

Use when onboarding a new member to the Pioneers AI Lab community — the lawyer-builder network connected to the HAQQ Legal AI ecosystem. Covers the full welcome sequence including Slack access, resource packs, office-hour scheduling, mentorship matching, and showcase opportunities. Triggers on any message indicating a new member has joined, been invited, or requested onboarding materials.

Use when a member of the Pioneers AI Lab or a legal-tech founder asks about applying for, or is being supported through, a Station F (Paris) residency. Covers HAQQ's free-workspace offer as a Pioneers program partner, application strategy, visa considerations for non-French residents, and introduction to the Station F ecosystem. Triggers on mentions of Station F, Paris residency, Parisian startup campuses, or French legal-tech incubators.

Use when a user wants to pull content from Apple Notes into a legal-AI workflow — for example, retrieving a meeting note to draft follow-up correspondence, attaching a note to a matter, or searching notes for a client name or clause fragment. Supports read-only access via iCloud Documents or the macOS native helper; no write-back to Apple Notes. Relevant across all jurisdictions for any practice area where lawyers take notes in Apple Notes.

Use when a user wants to read, create, or manage calendar events in the context of legal-matter workflows — scheduling hearings, blocking deadline time, creating client appointments, or surfacing upcoming events as deadline context for drafting. Supports Google Calendar, Microsoft Outlook/Exchange Calendar, and iCal. Triggers on requests to schedule, block, or review upcoming events and on any request that requires inserting a known legal deadline into the calendar.

Use when a legal-AI platform engineer or operator needs to manage Cloudflare infrastructure — DNS records, Pages deployments, Workers scripts, R2 object storage, and KV namespaces — from within an AI-assisted workflow. Scoped to platform operations for legal-tech products; not a general Cloudflare tutorial. Triggers on requests to deploy, configure, or inspect Cloudflare resources for the legal-AI product stack.

Use when a lawyer needs to hand off a complex legal research query to Thomson Reuters CoCounsel — the AI-assisted research layer built on TR's Westlaw database — because the query requires case law retrieval, statutory interpretation, or secondary-source research at a depth beyond the in-house skill set. Requires the user's organization to hold an active Thomson Reuters enterprise license. Triggers on requests involving US case law, multi-jurisdictional statutory research, or deep regulatory analysis where TR's curated legal database adds verifiable authority.

Use when a lawyer or due-diligence analyst needs to retrieve corporate information about a UK-registered company — including registered address, directors, filing history, charges, annual accounts, and confirmation statements — from Companies House, the UK's official corporate registry. Free and comprehensive public API; no auth required. Triggers on due diligence, counterparty checks, corporate structure analysis, or any request for a UK company's statutory information.

Use when a lawyer or compliance professional needs to retrieve, read, or cite official EU legal texts — regulations, directives, decisions, case law of the Court of Justice, and consolidated legislation — from EUR-Lex, the EU's official legal database. No authentication required. Triggers on any request involving EU law research, GDPR text, EU directive transposition, CELEX number lookups, or EU case law retrieval. Relevant globally for MENA companies doing business with EU counterparties or processing EU personal data.

Use when the legal-AI product design team or a developer needs to read Figma design files, extract Code Connect mappings, or generate UI components from design specs — specifically for building and maintaining the legal-AI product's own front-end. This is an internal engineering/design connector, not a legal-content tool. Triggers on requests to inspect a Figma design, align a React component with a Figma spec, or synchronize Code Connect mappings for the design system.

Use when a legal-AI workflow needs to convert any publicly accessible URL into clean, LLM-ready markdown — for example, to retrieve a regulatory authority's latest guidance, a court's published judgment, a government gazette notice, or a law firm's published article for research or analysis. Requires a per-tenant Firecrawl API key. Triggers on any request to read or summarize a web page, scrape a regulatory site, or ingest an external URL as context for legal analysis.