AI agents for legal practice
AI agents, wired into your actual matters.
This is what AI-native looks like in practice: not a chatbot you remember to ask, but agents configured to use your matter data as context, running first on every matter while you review. Each agent handles one job in the workflow, mapped to the MATTER Method's six primitives.
Why agents, not just AI
A general chatbot does not know your client's name. A matter-wired agent does.
A general AI tool needs the full context pasted in every time: client name, matter details, jurisdiction, deadlines, documents. That is not automation, it is extra work. A matter-wired agent is pre-configured to query the practice's own databases. The intake agent knows what a new matter looks like in your system. The research agent knows the jurisdiction of the matter you are working on. The time agent knows what you logged today. Context is built in, so you get the output, not the setup work.
The agents
Every agent. Every job it does.
Intake agent
Turns a new client inquiry, a message, an email or an intake form, into a fully structured matter record: client details, matter type, jurisdiction and initial action items.
Research agent
Takes a question, the jurisdiction and the relevant facts from the matter and returns a cited research summary you can verify. A first-draft memo in minutes.
Drafting agent
Drafts letters, notices, agreements and standard documents using the matter's own context, client name, dates, parties and applicable law, for your review.
Time recording agent
Reviews the day's activity across your matter records and drafts time entries in your preferred billing format. No reconstructing the day from memory at 6pm.
Evidence agent
Reads documents uploaded to the matter, contracts, affidavits, exhibits, and extracts key facts, flags inconsistencies and highlights provisions that need attention.
Client update agent
Reads the current state of a matter, open actions, recent developments, upcoming deadlines, and drafts a status email in your voice.
Action generator
Looks at the matter type, jurisdiction and current stage, then generates the next set of actions needed. A structured checklist built from how the work actually unfolds.
Billing agent
Reviews logged time for a matter, cross-references the fee agreement, and drafts an invoice narrative with itemised descriptions ready for approval.
Compliance checker
Runs a document against a configurable checklist, conflicts, confidentiality clauses, governing law, and flags issues before it leaves the office.
Correspondence agent
Drafts routine outgoing correspondence, confirmations, acknowledgements, follow-ups, from templates linked to the matter.
Knowledge agent
When a matter closes, extracts the key lessons, precedents and strategies into the practice's knowledge base, so the next similar matter starts smarter.
FAQ
AI agents for lawyers, common questions.
- What are AI agents for lawyers?
- Pre-configured AI assistants wired into a legal workflow. Unlike asking a general chatbot a question, an agent uses the actual matter data, client name, case type, deadlines, documents, as context, so it can act on a specific case rather than answer in the abstract.
- How do AI agents fit into an AI-native practice?
- An AI-native practice runs AI first, on every matter, systematically, with the lawyer reviewing and taking responsibility. Agents are how that becomes routine rather than aspirational: each agent maps to one primitive of the MATTER Method, so the machine does the first pass on every matter and the lawyer supervises.
- How are matter-wired agents different from a general chatbot?
- A general chatbot has no knowledge of a specific practice. A matter-wired agent is configured to use the practice's own data, matters, clients, actions, documents and time entries, as context. An intake agent knows to pull the client's name, matter type and jurisdiction from the record. A general chatbot only knows what gets pasted in manually, every time.
- Do I need technical skills to use AI agents in legal practice?
- No, when the agents are pre-built and pre-connected, as they are inside LexOS and MatterOS. You activate them within the workspace, no code, no API keys, no configuration, and most lawyers have agents running the same afternoon.
- Are AI agents in legal practice ethical and compliant with bar rules?
- Yes, when used correctly. Agents assist, they do not decide. Every output is a draft for lawyer review, and the lawyer remains responsible for the final work product. The agents are designed to augment judgement, not replace it.
- Which agent saves the most time for solo lawyers?
- Time recording and client updates save the most time for most solo lawyers. Manually logging time entries and drafting weekly status emails are the two tasks that eat the most non-billable hours in a small practice. Most lawyers report saving one to two hours a day once these run automatically.
Every one of these agents ships inside LexOS and MatterOS.
One-time price for LexOS, a free trial for MatterOS. No unnecessary subscription layers, no per-seat tax on your own system.