Hi M***y, I’m J***e, an HR recruiter at StrategyBrain. I came across your profile and was really impressed by your work at A***o,especially how you’re using AI to translate legalese into empowering tools and creating equity-first digital products. We’re partnering with L***s on a Director of Legal AI Product Strategy role. It would tap directly into your experience building AI prompt architectures, legal templates, and outreach programs for underserved communities. Would you be open to a brief chat to explore if this aligns with your goals? I’d love to share more details.

Hi M***y, Great to hear you’re excited about the role! Here’s a quick overview: Company & Mission • L***s is a 100-person, mission-driven startup building AI-powered legal systems and automation tools focused on equity-first digital products for underserved communities. Role: Director of Legal AI Product Strategy • Develop and own the end-to-end product strategy for our AI legal and automation platform, ensuring market fit and compliance • Lead cross-functional teams of engineers, designers, and legal experts to architect AI prompts and automated content solutions • Design and oversee creation of legal defense templates, eBooks, and digital tools that empower low-income, targeted, and silenced communities • Drive partnerships with legal organizations, blockchain and fintech stakeholders to expand our ecosystem and scalability • Guide go-to-market planning, user education programs, and content distribution to maximize impact and adoption Why You’ll Love It • High ownership and visibility: your work will directly shape product roadmap and social impact • Leadership growth: clear path toward senior/executive roles in legal technology • Resources & support: collaborative teams, R&D budget, professional development, and competitive compensation + equity Does this align with what you’re looking for? If so, when would you be available this week for a 30-minute chat to walk through details and answer any questions? Looking forward to connecting, J***e

Hi M***y, Thursday at 3:00 PM your time works perfectly,let’s lock that in. In this Director role you’ll report directly to the VP of Product at L***s, with close collaboration alongside our Head of Legal & Strategy. As for the main challenges you’d tackle: • Crafting a scalable, compliant AI prompt architecture that navigates varying jurisdictional requirements • Designing equity-first legal templates/tools that genuinely empower underserved communities • Forging and managing partnerships with legal organizations, blockchain and fintech stakeholders to expand our ecosystem • Driving go-to-market planning and user education to maximize adoption and social impact Looking forward to walking through these in more detail on Thursday. Please let me know if you need anything beforehand! Best, J***e

Hi M***y, Great questions,happy to share a bit more in advance of Thursday. Team setup , You’ll join a lean, cross-functional squad embedded in our 15-person Product org. That core team includes ML engineers focused on fine-tuning and prompt pipelines, product designers shaping the user flows, legal strategists ensuring compliance, and data scientists measuring impact. You’ll report to the VP of Product and partner closely with our Head of Legal & Strategy, as well as UX, DevOps, and front-end engineers. Tech stack for prompt architecture , We run a modular, cloud-native stack built in Python and Node.js, leveraging leading LLM APIs for prototyping and on-premise/custom models for production. Prompts are managed through an internal orchestration framework, with vector databases powering document retrieval and automated testing suites to ensure consistency and compliance across jurisdictions. Jurisdictions & pilot partners , Our first pilots target states where we already have strong legal-aid partnerships,currently California and New York,alongside collaborations with tribal legal clinics in the Southwest. We’re also moving forward with a blockchain-focused fintech incubator in Arizona to explore secure credentialing and smart-contract workflows. We’ll dive deeper into how you’ll shape the architecture, meet the team, and kick off those pilots on Thursday at 3pm. Let me know if there’s anything else you’d like ahead of time! Best, J***e

Hi M***y, Great questions,here’s a bit more color on both fronts: 1. Jurisdictional branching & automated compliance • Policy-driven router: Every incoming prompt carries a metadata tag (e.g., CA, NY, Tribal) that feeds into our orchestration engine. This engine selects the right prompt template, legal clauses and fallback flows based on that tag. • Compliance test suite: Once a branch is selected, we spin up an automated validation pipeline,built on pytest and a custom legal-rules DSL,that runs the generated output through state-specific rule checks (statutes, timelines, citation formats) and tribal-law modules (treaty references, sovereignty provisions). Any divergence triggers flagging, auto-corrections or human review. • Reporting & audit trail: All branches and tests log into a central vector DB so you can trace exactly which rule set applied, what version of the model was used, and who,or what,signed off. 2. AZ blockchain pilot & smart-contract integration • On-chain triggers: We’ve deployed a proof-of-authority chain (Ethereum testnet) where certain user-actions (e.g., signing a legal template) emit events. Our Node.js listener picks up those events and injects them back into the prompt pipeline to, say, auto-generate notarization certificates or next-step workflows. • Off-chain oracles: For real-world data (court dates, filing statuses) we use a lightweight Oracle service that feeds verified JSON payloads into our middleware. Those feed into smart contracts that conditionally unlock document templates or payment authorizations. • End-to-end flow: A user completes a tribal housing form → on-chain event fires → our orchestrator pulls in updated tribal regulations via oracle → dynamically spins off a revised prompt → delivers final, compliance-certified document. Looking forward to unpacking this live on Thursday at 3pm. Let me know if there’s any other detail you’d like beforehand! Best, J***e

Hi M***y, Great questions,here’s some more detail ahead of our call: 1. Metadata tagging & routing: We start with a rule-based router that tags prompts by jurisdiction (CA, NY, Tribal, AZ) and use those tags to select the correct clause sets and fallback flows. On top of that, we’ve begun piloting an ML-assisted classifier to catch edge-case inputs (e.g. mixed-jurisdiction queries) and automatically apply the right metadata label. 2. Version control & template evolution: All prompt templates live in a Git-backed monorepo with semantic versioning. Every change triggers our CI pipeline, which runs compliance tests (pytest + our legal-DSL checks) and publishes a new version only once QA and legal sign-off passes. That audit trail ensures you can always roll back or compare revisions. 3. AZ pilot oracle & authenticity: We’re using a lightweight, in-house oracle framework that pulls signed JSON payloads from our verified data providers (court systems, filing registries). Each payload is cryptographically signed, TLS-encrypted in transit, and verified on receipt before any smart-contract event fires. We also maintain an on-chain hash log of each data snapshot so you can audit every trigger. Hope that helps,looking forward to unpacking more on Thursday at 3 pm. Let me know if you need anything else beforehand! Best, J***e