Industry

AI for Professional Services

Document automation, research assistants and client-facing AI for firms whose product is expertise — billed by the hour, drowning in documents.

Professional services firms — legal, accounting, consulting, agencies — sell expertise by the hour, then spend a shocking share of those hours on document handling: reading, extracting, re-keying, cross-checking, filing. That gap between what clients pay for and where time goes is exactly where AI earns its keep.

The workflows we automate

Document intake and processing. Contracts, filings, invoices, KYC packets: extraction and understanding pulls the fields that matter, cross-checks them against your systems, and routes each document with a full audit trail. Humans review the flagged 10%, not the routine 90%. When the workflow spans systems — extract, verify, file, notify — an agent runs it end to end.

Knowledge search over your own precedents. Every mature firm sits on years of past work nobody can find. A grounded assistant over your documents, playbooks and precedents gives your team cited answers from your institutional memory — the associate’s “have we done this before?” answered in seconds.

Client intake and triage. The new enquiry read, classified, conflict-checked against your records and routed to the right partner with a summary attached — before anyone’s morning coffee.

Analysis and scenario tools. For firms whose product is advice, we build decision-support tooling — the discipline behind our own Policy Simulator applied to your domain: model the options, surface the trade-offs, show the evidence.

Why audit trails are non-negotiable

Your regulator, your insurer and your clients all ask the same question: how do you know? Every system we build for professional services answers it structurally — outputs trace to source passages, low-confidence items route to humans, and every automated action is logged. AI that cannot show its work has no place in a firm whose signature carries liability.

Where to start

Not with a platform. Pick the single document workflow that eats the most hours, run a short pilot on your real documents, and measure — accuracy, hours recovered, error rate against the human baseline. The cost guide covers what pilots and production builds typically run; the arithmetic against billable hours is usually short.

Tell us which workflow hurts most — get in touch and we will give you an honest read on whether it is automatable, and what the pilot would take.

Things we've actually built

Policy Simulator

Our own R&D decision-intelligence engine — agent-based modelling that stress-tests a rule, price or policy change before it ships. The same simulation-and-evidence discipline shapes how we build analysis tools for client firms.

Document pipelines & agents

Extraction, cross-checking and routing workflows are core to our custom AI practice — the patterns behind our AI agent development service, applied to contracts, filings and case files.

Frequently asked questions

Our documents are confidential — how is that handled?

Everything deploys in your environment: your cloud, your access controls, your audit logs. Where requirements demand it, we use private model endpoints or self-hosted models so no document ever leaves your infrastructure.

How accurate is document extraction, really?

On well-structured documents, very high; on messy scans, it varies — which is why we measure on your real documents in a short pilot before anyone commits. The system flags low-confidence items for human review instead of guessing silently.

Will AI replace our junior staff?

In our experience it replaces the worst hours of their week — retyping, cross-checking, hunting through precedents — not the judgment they are learning. Firms use the recovered hours for client work, which is the billable kind.

What's the right first project?

Pick the document workflow your team complains about most — intake, review-and-extract, or reconciliation. High volume, clear rules, measurable time cost: that is where a pilot proves value in weeks.

What does this cost?

Document automation pilots typically start in the $10k–$35k prototype range, with production systems following the ranges in our public cost guide. The volume of hours these workflows consume usually makes the payback arithmetic short.

Let's talk about your project

An honest take and a realistic plan, usually within one business day.