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Legal teams are not short of AI tools, but do their AI tools do what they should? In the case of AI for matter management, this is a key question to ask.
If there is something legal teams need in general, regardless of the AI technology they use, it is connected tools. Point solutions tend to help at the start, but when contract managers, internal lawyers and leadership need to switch between systems to find what they are looking for, there is frustration, time and resources wasted. When it comes to matter management, that need is more pressing, as teams work under tight deadlines and need the most accurate and up to date information at all times.
A robust, connected AI system for matter management should not be theoretical anymore, and since June 2026, for DiliTrust Matter Management users, it is not. The platform now includes a conversational AI assistant built directly into the interface, giving legal professionals a way to query their data, summarize documents, and find past cases through natural language, without switching tools or leaving the platform.
Key takeaways
- Effective AI for legal teams lives inside the matter management environment, not as a separate tool to open alongside it.
- Natural language queries remove the need to master complex search filters or precise keyword logic.
- AI-powered document summarisation cuts hours of reading into seconds of insight.
- Conversational search surfaces relevant past matters and precedent that standard keyword search misses.
- Good AI for in-house counsel gives you answers you can act on directly.
AI for matter management should live where matters are
Many AI-powered legal tools move friction from one place to another instead of removing it. You export the file, paste it somewhere else, review an output, and manually carry the answer back into your workflow. In the end the task is still yours, the AI just handled the middle part.
What legal teams actually need is AI that connects their natural language to their matter data, from within the same environment where the work already happens.
Some examples of what this looks like in practice include:
- Being able to ask questions about an open matter without opening a secondary tool.
- A document attached to a matter should yield its key clauses and changes without requiring the reader to go through every page.
- A counsel searching for a past precedent should be able to describe the situation and have the system find it, without reconstructing terminology from memory.
- When a quick question comes up mid-review, the answer should arrive without interrupting the work already on screen.
The bar for matter management software that includes AI is higher than it looks. End users need technology that builds around their habits, not the other way around. Even when some change management is inevitable, they at minimum expect the tool to sit within their primary environment.
Furthermore, the trust question cannot be set aside. As three-quarters of in-house legal professionals worry about AI hallucinations, any legal matter management AI worth adopting must show exactly where it is pulling information from. That means it should provide the direct sources of the final output, whether it is a matter or a document; legal teams need to ensure the output is founded on real data and insights and not making up results.
The following scenarios illustrate what this means in practice for legal professionals working with matter management every day.
Four ways the right AI changes how legal teams handle matters
Back in the office with one hour on the clock
It is a scenario most legal teams will recognise: a team member back from annual leave finds the landscape of a matter has shifted while they were away. The deadline has moved, a 40-page contract amendment is waiting in the file, and the case review is in an hour. In such situations, going back to page one and starting from scratch is not an option.
AI-powered document summarization reads the amendment and surfaces the key clauses, the changes from the prior version, and the risk areas worth raising, all before the meeting starts. What could have been a rushed and incomplete review becomes a prepared and considered contribution.
Visibility across an active portfolio
For a legal team member overseeing matters across multiple business units, the start of a working week rarely comes with a neat list of priorities. Matters are open, deadlines are live, and nothing has formally escalated, but experience says at least one situation needs attention before it becomes a problem. The challenge is knowing which one without spending half a morning finding out.
A conversational query surfaces which matters are most time-sensitive, drawing on deadlines, recent activity, and risk signals across their own portfolio. What would otherwise be a manual review of dozens of matters becomes a quick check, leaving the rest of the day free for work that actually requires legal judgement.
There is a precedent, you just cannot find it
When a counsel is working through a supplier dispute with an unusual clause, the instinct to look for a past precedent is often the right one. The problem is retrieval. If the exact terminology used in the original matter cannot be recalled, a keyword search will not find it, and the precedent might as well not exist.
Asking the question in plain language changes this entirely. Conversational search navigates the entire matter portfolio to surface similar past cases, regardless of how the original file was labelled or what specific words it used.
Mid-review, the question that cannot wait
Questions come up mid-review that need answering on the spot. When a specific clause needs checking against a document attached to a matter, the usual path is to open the file, search manually, and navigate back, losing the thread of the work already in progress along the way.
A pop-over assistant accessible directly from the matter page handles this without any of that. The question goes in, the answer comes from the attached document, and the review continues from exactly where it left off.
Is AI really improving your matter management strategy?
Discover how DiliTrust Matter Management puts AI where your legal work actually happens.
Before you add AI to your matter management, ask this
Before choosing an AI tool for matter management, the practical test is simple: does it work in the language you already use, from inside the system you already use, and does it let you check its reasoning before you act on what it tells you? These are the minimum standards today for AI in legal practice.
Lini, DiliTrust’s conversational AI assistant, is built around exactly those standards and is now fully embedded in Matter Management.
Lini is now live in DiliTrust Matter Management. Explore what it can do for your team.
