Legal · Enterprise
Halcyon Legal Group, a mid-size firm with 120 attorneys focused on M&A and commercial contracts, was processing more than 200 new contracts per week. Every one of them required a paralegal to read through the document, categorize it by type, extract key parties, dates, and obligations, identify risk flags, and route it to the right attorney with enough context for them to begin work.
The volume was overwhelming. The intake team was perpetually behind, which created a triage problem: everything felt urgent, so prioritization was chaotic. Key deadlines were occasionally missed. New matter onboarding was slow, and the attorneys waiting on intake summaries were losing billable hours to the wait.
Majoto built an AI document intake pipeline that processes incoming contracts automatically from the moment they arrive. The system reads and parses each document, extracts parties, effective dates, key obligations, termination clauses, and risk flags, then categorizes the contract by type and urgency and routes it to the appropriate attorney.
Every routed contract arrives with a structured one-page summary already attached: key dates highlighted, flagged clauses noted, and an urgency score attached. The paralegal team now only touches the 20% of contracts that require human judgment, edge cases, unusual structures, or documents that fall outside the model's confidence threshold.
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