New Business Intake
New business intake systems capture the information needed to open a new client or matter, recording details such as the client, industry, practice area, matter type, and originating attorney at the earliest stage of engagement, often before conflicts checking and client terms review take place. These platforms standardize how firms gather that information across intake channels, whether through internal questionnaires, phone calls, website chat, or text messaging, and route it into the systems that depend on it, including matter management, billing, and reporting. Use cases include accelerating client acceptance and matter opening, ensuring consistent data flows downstream, reducing duplicate manual entry, and, for smaller firms, capturing and qualifying prospective client inquiries before they reach an attorney. Generative AI has reshaped this category in two directions. On the risk and compliance side, AI now extracts data from submitted documents to prepopulate intake requests, flags conflicts, AML, and jurisdictional risk for reviewers, and helps orchestrate approval workflows. On the client-facing side, AI-driven chat and voice agents engage website visitors and callers directly, qualifying leads and passing structured case details into CRM or practice management systems. Because the category spans everything from enterprise risk-driven onboarding platforms to lightweight lead-qualification tools for solo and small practices, firms should be clear on which end of that range matches their size and risk profile.
New business intake systems capture the information needed to open a new client or matter, recording details such as the client, industry, practice area, matter type, and originating attorney at the earliest stage of engagement, often before conflicts checking and client terms review take place. These platforms standardize how firms gather that information across intake channels, whether through internal questionnaires, phone calls, website chat, or text messaging, and route it into the systems that depend on it, including matter management, billing, and reporting. Use cases include accelerating client acceptance and matter opening, ensuring consistent data flows downstream, reducing duplicate manual entry, and, for smaller firms, capturing and qualifying prospective client inquiries before they reach an attorney. Generative AI has reshaped this category in two directions. On the risk and compliance side, AI now extracts data from submitted documents to prepopulate intake requests, flags conflicts, AML, and jurisdictional risk for reviewers, and helps orchestrate approval workflows. On the client-facing side, AI-driven chat and voice agents engage website visitors and callers directly, qualifying leads and passing structured case details into CRM or practice management systems. Because the category spans everything from enterprise risk-driven onboarding platforms to lightweight lead-qualification tools for solo and small practices, firms should be clear on which end of that range matches their size and risk profile.
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