AI agents for law firms
The work that repeats every day, done ahead of you and handed over ready to approve.
Why a law firm gains from an agent
In an SME in this field, much of the day goes on tasks that repeat: reading, sorting, digging for history and writing again what has been written before. An AI agent does that part and hands it over prepared. It does not replace the tools a law firm already uses — it works inside them.
What an agent actually does
These are tasks that repeat every single day in a law firm:
- 01Read incoming mail and flag what has a deadline
- 02Work out which matter each message belongs to
- 03Draft the reply with that client's history
- 04Pull dates and obligations out of long documents
- 05Report what went unanswered at the end of the day
In every one of them the agent prepares and a person approves. That boundary is what makes it reliable.
It connects to what you already use
No need to change tools. The agent works over the systems you already have, with the permissions that already exist:
And professional privilege?
Before any implementation we assess where processing happens and what data leaves, if any. The agent respects the permissions that already exist: it cannot see what the person using it cannot see.
What this looks like in practice
We have a real case in this sector, anonymised at the client's request, with the agents that were implemented and how confidentiality was handled.
Read the caseFrequently asked questions
It works best when you start with a single process. You do not need to be a large company — you need one task that repeats every day and costs someone time.
No. The agent connects to what you already have — Microsoft 365 (mail and calendar), SharePoint and OneDrive, Case management software — and works inside it.
No, and that is deliberate. The agent drafts the reply; your team sends it. That is the difference between a tool you can trust and one that some day says something foolish in your name.
Beyond implementation there is a monthly usage cost that almost nobody mentions up front. We estimate it per use case before starting, so you know what you will pay every month.
Before any implementation we assess where processing happens and what data leaves, if any. The agent respects the permissions that already exist: it cannot see what the person using it cannot see. If the assessment says it does not pay off, we say so.
Start with one process, not a revolution
Pick the task that repeats most in your day. We measure what it costs today and tell you frankly whether automating it pays off.
How we implement
The method, the connectors, what it costs to run and when our answer is that it does not pay off — it is all on the main AI agents page.
See AI agents for business- Over 25 years of IT experience
- The agent prepares, the approval is always yours
- The agent respects the permissions you already have in place
- Connects to the systems you already use
Need any clarification?
Tell us your challenge. We reply quickly and with no commitment whatsoever.
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