Use Cases · Law firms
AI agents for law firms. Responsibility stays with the firm.
Matter enquiries, deadlines, contract review, case chronologies and time recording: the agent prepares in a structured way, flags and suggests. You review, confirm and decide.
01Matter enquiries
Every matter enquiry as a prepared file.
Take in matter enquiries in a structured way
- InputMatter enquiry
- AI agent
- OutputPrepared file
Starting point
New matter enquiries arrive by email, phone and web form. Your office staff record the facts, parties and documents by hand.
What the agent does
Our intake agent reads every enquiry, records the facts, the parties and the opposing party, prepares the conflict check, requests missing documents and creates a prepared file.
Outcome
You decide whether to accept the matter on the basis of a structured overview.
02Capturing deadlines
Confirm deadlines instead of typing them.
Capture deadlines from post and beA automatically
- InputPost beA
- AI agent
- OutputDeadline calendar
Starting point
Court mail, beA messages (the German electronic lawyers’ mailbox) and letters from the opposing side are read by hand, and deadlines are noted and checked one by one.
What the agent does
The AI reads incoming post and beA messages, identifies deadlines and hearing dates, assigns them to the file and submits them for confirmation in the deadline calendar.
Outcome
Responsibility stays with the firm.
03Contract review
Review the deviations, not every page.
Review contracts against your firm standard
- InputContract
- AI agent
- OutputDeviations
Starting point
Liability, term, termination, special clauses: to check them against your standards, lawyers read every contract in full.
What the agent does
Our review agent reads contracts, extracts the relevant clauses, compares them with your firm standard and flags deviations with the exact passage and a suggested wording.
Outcome
You review the deviations instead of reading every page from the start.
04Case file chronology
File in. Chronology out.
Create case chronologies with references
- InputFile Briefs
- AI agent
- OutputChronology
Starting point
Before every brief and every hearing you work your way through extensive files to compile the chronology and the points in dispute.
What the agent does
The AI creates a chronology with references from the file, summarises the opposing side’s briefs and flags the disputed points.
Outcome
Your preparation starts with a structured overview of the file instead of the first page.
05Time recording
More billable time. Less rework.
Suggest time records per matter automatically
- InputCalendar Emails
- AI agent
- OutputTime record
Starting point
At the end of the month, lawyers reconstruct their time from emails, calendars and documents. Part of the work often goes unbilled.
What the agent does
Our billing agent uses your calendar, emails and edited documents to suggest time records per matter, which you only need to confirm.
Outcome
More billable time and less rework at month end.
Approach
From use case to controlled agent.
A use case is a starting point, not an off-the-shelf solution. Whether and how it holds up in your organisation is decided by the process, its data, interfaces and responsibilities, not by the model.
Assess
The AI Discovery & Process Design Assessment examines whether and under which conditions your process is suited to an AI agent. A prior assessment is not mandatory.
Implement
One department. One process. One agent. One connection. Go-live happens only on your decision.
Control
Control before execution, not logging afterwards. Approvals, permissions and evidence are part of the architecture.
Model-neutral
The choice of model follows your process and your requirements, not a vendor: Anthropic, OpenAI, Microsoft, Google, Mistral, on-premises open-source models.
Related services
Other areas
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Which process in your organisation suits an agent?
In the initial consultation we clarify which use case fits your process and what a secure implementation requires.
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