AI Systems Developer – Client-Centered Litigation Automation

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AI Systems Developer – Client-Centered Litigation Automation Position Type: Full-Time / Contract-to-Hire Location: Remote or Onsite Compensation: Competitive Reports To: Chief Artificial Intelligence Officer Start Date: Immediate About the Role We are seeking a mission-aligned, systems-focused AI developer to architect and execute the end-to-end litigation automation experience that enables clients to move from first contact to case resolution, intelligently, empathetically, and without delay. This role is focused on building the systems behind one of the most advanced legal automation platforms in the country. You will lead the technical development of an ecosystem that transforms raw client narratives into structured legal outputs, EEOC charges, complaints, discovery packets, and resolution-ready files—while maintaining an uncompromising standard of legal accuracy and human-centered design. This is not product development in isolation. It is system orchestration, spanning AI ingestion, natural language processing, document generation, workflow automation, and real-time collaboration between humans and Artificial Intelligence. You will collaborate with attorneys, paralegals, intake specialists, engineers, and product strategists to deliver outcomes that are fast, precise, and deeply respectful of the people we serve to ensure a perfect client experience every time. Your Responsibilities AI Intake and Legal Triage 1. Build a conversational AI interface to capture and interpret client narratives in natural language 2. Extract protected characteristics, adverse actions, and key events from unstructured data 3. Identify likely statutory violations and generate claim-specific summaries and urgency scores 4. Trigger lead routing and escalation logic in real time Document Automation Engine Integrate LLMs (OpenAI GPT-4 or equivalent) to draft: EEOC charges Federal and state complaints Discovery requests (RFPs, Interrogatories, Admissions) Rule 26(a)(1) disclosures Demand letters Implement dynamic template selection, jurisdiction-specific formatting, and tone control Client Portal and Communication Layer Build portal views for clients to: Upload and track documents See real-time case progress Receive customized legal guides Message their case team securely Implement logic for event-triggered alerts, document requests, and milestone updates Real-Time Collaboration and Filing Enable staff to generate and file EEOC charges, complaints, and discovery documents during live client calls Design approval workflows with role-based permissions and audit trails Build bridges to e-filing platforms and backend document systems Feedback and Optimization Capture structured client feedback post-resolution (NPS, satisfaction surveys) Log outcome data and feed insights into model improvement pipelines Collaborate with data science and legal ops teams to fine-tune prompts, outputs, and tone The System You Will Help Power Must Support These Six Pillars: Pillar One: Intelligent, High-Conversion Intake Clients are welcomed through a conversational interface that captures stories quickly, sensitively, and legally. Contact is secured, claims are preliminarily identified, and handoff to staff occurs in minutes—not hours. Pillar Two: Automated Claim Detection and Case Summarization Narratives are parsed and triaged by AI, which scores claim viability, identifies relevant statutes, and outputs professional-grade case summaries and draft EEOC charges ready for review. Pillar Three: Real-Time Charge Drafting During Initial Consultation Once the client retains, the system enables trained staff to generate and file jurisdiction-specific EEOC charges during the same intake call—fully reviewed and filed within the hour. Pillar Four: Immediate Transition to Discovery and Litigation Preparation As intake closes, the system gathers discovery responses and generates complaints, RFPs, interrogatories, admissions, Rule 26(a)(1) disclosures, and a tailored demand letter—all compliant, complete, and pre-reviewed. Pillar Five: Attorney-Ready Litigation Suite and Workflow Optimization Attorneys access fully assembled litigation packets: formatted, compliant, and strategically sound. Each file includes flagged legal issues, pre-filled timelines, and recommended next steps. Pillar Six: Scalable Operations and Continuous Learning The platform supports high case volume with minimal manual intervention. Feedback from each case improves the next via continuous refinement of tone, timing, and legal logic. You Are Ideal If You Have 1. Proven experience building and deploying LLM-integrated systems 2. Strong fluency in full-stack development across regulated or complex domains 3. A passion for human-centered systems design in legal, healthcare, or financial services 4. Experience building guided workflows, document logic engines, or automated decisioning 5. The ability to work autonomously and cross-functionally in high-velocity teams What Success Looks Like 1. A prospective client connects with the system and receives a personalized legal analysis within minutes 2. An EEOC charge is drafted, reviewed, and filed during the same intake call 3. A federal complaint and full discovery suite are generated and reviewed within 24 hours 4. Clients receive real-time updates, plain-language guidance, and consistent communication without needing to ask 5. Every interaction trains the system to get smarter, faster, and more client-centered To Apply Please send: 1. A short statement of interest, including prior experience with LLM or legal/NLP systems 2. A link to GitHub or portfolio with examples of relevant work 3. Resume or LinkedIn profile (optional but helpful) Subject Line: Legal AI Developer Application Email:   An Example Client Journey: Maria Lopez Maria Lopez was a warehouse employee in the third trimester of her pregnancy when she asked her employer for accommodations. She was not asking for much—just lighter duties and more frequent breaks. Instead, she was terminated the following week. Maria was not sure if what happened to her was legal. She did not know what her rights were. She had never spoken to a lawyer before. But she knew she needed help. She searched online and found Atlas Law Center. What she encountered was not a static form or a phone tree—it was a live, conversational assistant that welcomed her, asked her what happened, and listened. Within minutes, the assistant provided a plain-language summary of what legal protections might apply to her situation: Title VII, the Pregnant Workers Fairness Act, and her state’s Human Rights Act. It told her what might come next—and what she could choose to do about it. Before sharing any results, the system asked Maria to provide her contact information and offered her two options: she could review her legal analysis or speak directly with a representative. Maria clicked to connect. Within moments, she was speaking to a trained intake specialist. That call changed everything. The specialist walked Maria through what happened, validated her story, and entered her information into the firm’s AI system. Within seconds, the platform evaluated her case, confirmed the relevant statutes, and generated a professional-grade legal summary, a draft EEOC charge, and a structured legal roadmap. The supervising attorney reviewed the materials in real time. With Maria’s consent, the EEOC charge was filed that same day—before the call ended. Maria received a follow-up email with a link to her personal case portal. Inside, she found a visual case timeline, a breakdown of her rights in simple language, and an outline of what to expect next. There was no legalese. No uncertainty. No guesswork. The following day, she received a short welcome video from her attorney, who introduced himself, confirmed that her claim had been accepted, and explained what their role would be moving forward. Over the next week, Maria received thoughtful, timely messages—alerts when her complaint was being prepared, reminders to upload key documents, and guidance on what to do if her former employer contacted her. These alerts were sent via text, just how she preferred. Her client portal allowed her to check in on her case status anytime, upload new records, and send a quick message to her legal team. When her case entered the litigation phase, Maria was transferred to a discovery specialist who gently walked her through structured questions. Every answer she gave went into the AI system, which instantly generated a federal complaint, tailored discovery requests, Rule 26(a)(1) disclosures, and a custom demand letter. The documents were accurate, jurisdiction-specific, and pre-reviewed for quality. All Maria had to do was confirm and approve. Her attorney reached out again to review next steps and prepare for potential negotiation. When a settlement offer came in, Maria received a plain-language guide to evaluating it—including common pitfalls, tax considerations, and what she could say yes or no to. She was not pressured. She was equipped. When the case resolved, she received a closing call—not to collect a signature, but to thank her. A follow-up message came from her case manager: “You were never just a file to us. Thank you for trusting us with your story.” Maria left the process not just satisfied, but steady, informed, and respected. She never had to chase updates. She never had to repeat herself. And she never once felt lost. Maria Lopez: Journey Actions with AI Highlights Phase 1: Initial Contact and Intake 1. Maria searches online for pregnancy discrimination legal help. 2. She is greeted by a live, conversational AI assistant. AI-Powered: Delivers empathy-driven intake, collects basic facts, and adjusts tone based on user input. 3. AI analyzes initial inputs and provides a plain-language legal summary. AI-Powered: Detects likely violations (Title VII, PWFA, IHRA) and explains legal rights in clear terms. 4. Maria securely enters her contact information and chooses to speak to a representative. 5. The system routes her directly to a live intake specialist with her intake summary pre-loaded. AI-Powered: Real-time lead triage with immediate escalation based on claim strength and urgency. Phase 2: Consultation and Filing 6. Intake specialist confirms Maria’s details and enters them into the Atlas platform. 7. The AI evaluates the complete intake in seconds and outputs: a. A structured legal issue map b. A professionally formatted EEOC charge c. A case grading score AI-Powered: Legal reasoning engine processes statutory relevance, timelines, and narrative to generate pre-drafted documents. 8. Supervising attorney reviews the AI-drafted charge in real time. 9. With Maria’s consent, the charge is filed before the call ends. Phase 3: Onboarding and Document Readiness 10. Maria receives a digital onboarding packet. AI-Powered: Assembled from case data and jurisdictional logic—includes plain-language timelines and expectations. 11. Within 24 hours, Maria receives a personalized welcome video from her attorney. 12. Maria gains access to a secure client portal with: a. Case status updates b. File upload options c. Live messaging d. Calendar views AI-Powered: Portal integrates with backend case system to show real-time updates and anticipate next actions. 13. Maria receives tailored reminders and guidance via SMS/email. AI-Powered: Smart messaging engine triggers based on milestones (e.g., “Upload pay stubs,” “Here’s how lost wages are calculated”). Phase 4: Litigation Preparation 14. Maria speaks with a litigation support specialist and answers structured discovery questions. 15. Based on her responses, the system drafts: a. A federal complaint b. Interrogatories c. Requests for production and admission d. Rule 26(a)(1) disclosures e. A tailored demand letter AI-Powered: Document automation engine generates all litigation filings from mapped intake and discovery inputs, formatted per jurisdiction. 16. Paralegal team reviews and prepares documents for attorney approval. Phase 5: Resolution and Closure 17. Maria is briefed on how settlement negotiations work, with a clear checklist of key considerations. AI-Powered: Generates explainer content customized to case type and financial outcomes. 18. She finalizes her case with support from her legal team and receives all closure documents. 19. Maria is invited to complete a brief feedback survey. AI-Powered: Feedback routes into AI training and internal performance dashboards to continuously improve intake, tone, and pacing. 20. Maria receives a final message of gratitude from her case manager. AI-Enhanced Moments Summary Intake conversation (natural language + legal logic) 1. Legal claim identification 2. EEOC charge drafting 3. Real-time triage and routing 4. Discovery and complaint automation 5. Client communication + document guidance 6. Learning and improvement via feedback loop

Keyword: Product Manager

Price: $25.0

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