We turn legal AI into two specific, done-for-you workflows a firm can adopt this quarter — one that runs the operational load of a personal-injury practice, one that carries the volume work of corporate and transactional matters. Same operating model behind both: AI does the case-management, document, and administrative work; attorneys keep every legal judgment; the platform integrates through the case-management, document, and e-signature systems your firm already uses.
PI firms run on operational scale — dozens or hundreds of open cases, each with its own medical records, liens, statute clock, insurance carrier, and client update cadence. AI case-manages the operational side end to end: 24/7 intake, medical records requesting and summarization, treatment tracking, demand drafting, lien reconciliation, client updates. Attorneys stay in every legal decision.
Corporate practice runs on document volume — contract review, drafting, due diligence, redlines, closing checklists, corporate housekeeping. AI handles the reading, drafting, and abstraction work that eats associate and paralegal hours. Partners stay in every negotiation, strategic call, and final review.
AI does the volume work — the intake, the reading, the drafting, the tracking, the follow-ups. Attorneys and paralegals keep the parts of practice that actually require a lawyer's judgment — negotiation, strategy, ethical calls, court appearances, client counseling. Every AI action is logged and reviewable. Your firm stays in charge of what the system did on your behalf, and the platform is engineered from the ground up to meet the compliance standards your practice already lives under — HIPAA for PHI on the PI side, SOC 2 across the board.
Whether you're a PI firm looking at the operational load per attorney or a corporate practice tired of associates burning weekends on contract review, the first conversation is short and specific. We show the workflow tuned to your practice area, which of your existing systems we'd integrate with on day one, and the compliance model up front.