Firms bill for expertise but burn hours on document review, research assembly and proposal drafting. Agents do the first pass: summarising documents, assembling research, drafting proposals and keeping matter records current, with a professional making the final call.
Firms bill for expertise, then burn expensive hours on document review, research assembly, proposal drafting and matter administration. The work is necessary; doing it manually at professional rates is not.
AI agents do the first pass. Documents get summarised, research gets assembled, proposals get drafted from your precedents, and matter records stay current, with a professional making every final call. For one client we built a self-hosted assistant over their internal knowledge base that answers legislation and standards queries with citations.
Confidentiality drives the architecture: self-hosted and Australian-hosted deployments are standard options, and your data never trains external models.
AI Agents
Professional services firms need content to attract clients, but the people who know enough to write it are too busy with client work. This agent drafts industry-specific content so your experts review and refine rather than write from scratch.
Matching the right people to the right projects is hard in professional services. This agent analyses skills, experience, availability, and project needs to recommend team compositions that actually make sense.
IP infringement monitoring is a needle-in-a-haystack problem. This agent watches online marketplaces, patent filings, and web content for potential violations, so your IP team catches issues early instead of finding out months after the damage is done.
Law firms lose hours to junior lawyers manually reading contracts, flagging clauses, and cross-checking terms. This agent handles that first-pass review, pulling out key dates, parties, and risk areas so your team focuses on the legal thinking, not the reading.
Researchers spend too much time cleaning data, running standard analyses, and building charts when they should be thinking about what the results mean. This agent handles data preprocessing, statistical testing, and visualisation so your team can focus on interpretation.
Professional services firms spend days assembling proposals from scratch when most content already exists somewhere. This agent pulls together past proposals, project data, and client specifics to draft proposals faster, freeing senior staff for strategy.
Patent searches are thorough but painfully slow. IP professionals spend days trawling global databases for prior art and potential conflicts. This agent searches across patent databases and delivers structured results, cutting the search phase significantly.
Consultants often rely on gut feel when advising clients, even when relevant data exists. This agent analyses client data, benchmarks, and past project outcomes to back recommendations with evidence, so advice is grounded in more than intuition.
Professional services projects run over budget and past deadline more often than anyone admits. This agent tracks project progress, flags risks early, and helps project managers adjust resources before small delays turn into big problems.
Running scientific simulations means juggling parameters, monitoring long compute jobs, and sifting through results. This agent manages simulation workflows so researchers spend time on the science, not babysitting clusters.
Get in touch
Tell us where the hours are going and we’ll tell you which of these agents would pay for itself first.
Book a free 15-minute call. We’ll talk through how your professional, scientific and technical services business runs and which of these agents would pay for itself first.
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