AI & Automation for Professional Services
AI agents, intake automation, and internal tools for Hong Kong law firms, accounting practices and consultancies — client intake, document review, billable-hour logging, conflict checks, engagement letters and client reporting, built with strict confidentiality and self-hosting options.
The familiar failure modes: partners hand-keying timesheets at month-end, and conflict checks done from memory plus a spreadsheet.
What the agents do. Intake runs bilingual forms, collects documents and creates the matter straight in your DMS. Document review does a first pass over contracts and bundles with citations back to source. Time capture reconstructs billable time from calendar, email and DMS activity, with the fee earner approving before anything is billed. Conflict checks run automatically across your matter and contact databases and explain their reasoning. Engagement letters generate from templates and matter facts, routed for partner approval. Client reporting pulls from time and matter systems to produce monthly status reports.
Everything can be self-hosted where client confidentiality requires it. Firms fielding a lot of calls usually pair this with an AI voice agent on the main line. Book a scoping call.
Frequently Asked Questions
What Are AI Agents in Professional Services?
AI agents in professional services are software systems that carry out multi-step client and matter workflows on their own — intake, document review, time capture, conflict checks, engagement letters, client reporting — rather than just answering a single question. Genium's agents for Hong Kong law firms and accounting practices run bilingual intake forms, create the matter directly in the firm's DMS, and reconstruct billable time from calendar, email and DMS activity before a fee earner approves it.
What separates an AI agent from a chatbot?
An AI agent takes actions across systems and completes a task end-to-end, while a chatbot only answers questions inside a conversation. In Genium's professional services deployments, a conflict-check agent queries the matter and contact databases, applies the conflict rules, and explains its reasoning — it doesn't just describe how a conflict check works.
What does a business need before taking an AI agent into production?
A business needs its source data reachable by the agent, a defined human approval step for high-stakes outputs, and a decision on hosting before going into production. For a law firm this means matter and contact databases the agent can query, a DMS it can write into, and a fee earner or partner who signs off on time entries, engagement letters or conflict-check results before they're finalized.
How long does an AI agent implementation take?
Implementation time depends on how many systems the agent must integrate with and how many approval steps the workflow requires — a single-workflow agent such as intake forms writing into a DMS is faster to deliver than one spanning conflict checks, time capture and client reporting across several systems. Genium scopes each professional services engagement individually after reviewing the firm's existing systems rather than quoting a fixed timeline upfront.
Should we use an AI agent builder or custom implementation?
The choice depends on how specific the workflow and data requirements are: generic builders suit simple, single-system tasks, while custom implementation is usually needed when confidentiality, self-hosting or integration with a firm's own DMS and databases are involved. Genium builds custom agents for professional services because tasks like conflict checks and time capture have to read and write to a firm's existing matter and contact systems, not a generic template.
How will your solution protect our data (and our customers' data)?
Genium protects client and matter data through self-hosting options, keeping data inside the firm's own environment rather than external servers where confidentiality requires it. Approval steps are also built in — a fee earner signs off on billable time and a partner approves engagement letters and conflict-check outputs — so nothing goes final without human review.