For law firms and legal teams
Every matter remembered. Every wall kept.
The firm's whole history, inside each lawyer's own AI agent. Walls included.
Reads Microsoft 365, Gmail, Google Drive, Google Calendar and 4 more
The problem
The firm knows everything. Nobody can find it, and AI is not allowed near it.
Cost
Paying twice for work the firm already did
Risk
One misfiled folder away from a breach
Time
Lawyer time lost to answers with no history
By the numbers
The problem, in numbers
- 38%
law-firm utilization: 3 billable hours a day
Source: Clio
- 1.8 to 3.6 hours
a day lost searching for information
Source: McKinsey; Coveo
- 43%
of breaches involve shadow AI
Source: IBM
- 5 hours
a week professionals expect AI to save them
Source: Thomson Reuters
With Mithrandir
Before: Hours, weeks, months
With Mithrandir: Seconds
About 10 seconds
to find the story across thousands of documents.
Up to 396 to 792 hours a year saved per person
Up to $43K to $85K
more revenue a year, per person
Source: McKinsey; Coveo; Am Law · How it is estimated
How much better it gets
In the agent each person already uses, within what they can access.
Risk
Ethical walls between matters
Before
One misfiled folder exposes the other side's work.
After
The wall holds in every agent, as if the matter does not exist.
Revenue
Conflicts history
Before
Name searches and emails to three partners, often too late.
After
Every matter with or against a company, sourced, in seconds.
Time
Where a clause came from
Before
Hours in old inboxes to rebuild the trade behind a carve-out.
After
The clause with its history: who agreed, when, and for what.
Revenue
A partner leaves
Before
Years of client history shrink to a handover note.
After
The matter's history stays with the firm, ready for the new lead.
Cost
A new associate on a live matter
Before
A year of email, or an hour of a senior's time.
After
The full story of the matter, in order, with sources.
Safe on every row.
Only what you can already access
Your hierarchy, the way it should be
Walls that hold, for every agent
0 leaks, 100% sourced, 30,000+ entries. How we measure · Security
A scenario
One Monday morning in legal
A client calls at 8:40. A supplier is threatening to walk, and the client wants to know what the firm agreed in the last renegotiation. The relationship partner opens Claude and asks one question.
“What did we concede to this supplier in 2024, and why?”
The partner · in Claude
The full history of the matter: the redlines, the email where the client accepted a shorter notice period, and the call note with the reason, each with its source.
A first-year associate · in ChatGPT
The signed agreement and the documents shared with the deal team. The associate also works for a competing client, so a wall keeps the negotiation notes out of reach. They never appear, not even as a hint.
The partner calls the client back before 9:00 with the answer and the email that proves it. Nobody searched an inbox, and the wall held.
97% of organizations that had an AI-related breach lacked proper AI access controls. Source: IBM, Cost of a Data Breach Report 2025
Questions
- Do ethical walls hold inside AI agents?
- Yes. A wall set once applies in every agent the firm uses. For anyone outside it, the walled matter does not appear in answers or sources.
- Can it help with conflicts checks?
- It finds every matter with or against a company, with sources, in seconds. The conflicts decision stays with the people who own it.
- Does client data leave the firm?
- No. Mithrandir runs in the firm's own cloud with the firm's own model key, and restricted content never reaches a model.
See it on your own data.
One practice group, a few sources, your real questions.Set a wall and watch it hold.
Remember.
Every company needs agents that know it. We are here for that.
Remember more. Spend less.Bring one workflow. See it on your own data in 30 minutes.
Last updated 21 October 2026 · Mert Uzun, co-founder