Legal & Law Firms
The work that drains your firm isn't the lawyering — it's the intake, the review, and the time that never makes it onto a bill.
In one line
A law firm doesn't lose money the way a factory does. It loses it in the seams — in the days between a client saying yes and the matter actually being opened, in the associate hours spent reading documents that turn out not to matter, in the time worked late on a Tuesday that never makes it onto an invoice, and in the argument the firm already won two years ago that nobody can find now. The lawyering is rarely the problem. The operational work stacked around every matter is where the hours, the margin, and sometimes the deadlines quietly disappear.
Most "legal AI" pitches flatten all of this into "document automation and client follow-ups," as if a firm were a paperwork factory. It isn't. The money and time leak in distinct places: conflict checks that stall an engagement, discovery sets where associates read the whole pile to find the fraction that counts, billable time that never gets reconstructed, deadlines tracked in someone's head, and knowledge that leaves when a senior associate does. Each is a different workflow with a different fix — treating them as one generic problem is why so many tools underwhelm.
Plenaura builds systems for the specific work that drains a firm, named honestly rather than dressed up: intake automation that runs conflict checks and gets the retainer signed; review triage that flags relevance and privilege so associates read the ten percent worth reading; billable-time reconstruction from calendars, email, and documents; a private assistant over the firm's own precedents; and docket monitoring that catches a deadline before it's an exposure. Underneath sit real techniques — document AI, retrieval over your case files, classification, workflow automation — but the pitch is the outcome, not the acronym.
The difference is what you're left holding. We are an engineering studio, not a consultancy handing over a memo, and we don't ship a thin chatbot wrapper that quietly sends privileged files to someone else's cloud. We build the full system, integrate it into the practice-management and document tools your firm already runs, deploy it on your infrastructure, and hand it over — code, models, and documentation yours to keep. Where AI isn't the right tool for a step, we'll say so instead of selling it. The honest version of legal AI is narrower, and more useful, than the demo.
What we can build for Legal
Intake & conflict-check automation
Systems that run conflict checks against your client and matter history, open the matter cleanly, and chase the engagement letter and retainer, so a signed client doesn't sit idle in the gap between agreeing to work and being formally taken on. Anything ambiguous is routed to a person rather than cleared automatically.
Discovery & document-review triage
A first-pass layer that reads a document set and flags likely relevance and potential privilege, ranking what deserves an associate's attention. The goal is to let your team review the fraction that matters instead of billing hours through the entire pile — with a lawyer making every final call on privilege and production.
Billable-time reconstruction
A system that rebuilds unbilled work from the trail lawyers already leave — calendar entries, sent email, edited documents, and call logs — into draft time entries a timekeeper reviews and approves. It targets the leakage every managing partner knows about: real work that was done but never captured before month-end.
Private matter-knowledge assistant
Retrieval over your own closed and active matters, briefs, memos, and precedents, so a lawyer can ask for the argument or clause the firm has used before and get it with a citation to the source document. The firm's institutional knowledge stays usable instead of walking out when someone leaves.
Deadline & docket monitoring
Monitoring across matters that tracks court dates, filing windows, and limitation periods and surfaces what's approaching before it's urgent. It's built as a safety net over your calendaring, not a replacement for it — flagging risk to a human rather than silently managing a date that carries malpractice exposure.
Client-communication automation
Drafting of routine status updates from the actual matter record, so clients get informed, on-brand updates without an associate composing each one by hand. Every message is presented for a lawyer to review and send, keeping the client relationship and the professional judgment firmly with your people.
Practice-management & document integration
Connections into the systems your firm already runs — practice-management platforms like Clio, document stores like iManage or NetDocuments, and your email — so these tools act on live matter data and write back where your team already works, instead of becoming one more system nobody opens.
How we deliver it
Start with where the hours leak
We map how a matter actually moves through your firm — intake, review, billing, client contact — and find where time and margin are lost, so we build for the leak that costs the most rather than the workflow that demos well.
Confidentiality by architecture
Because this is privileged client data, we design for it from the first day: deployed on your infrastructure or on-premise, with access controls and an audit trail, so matter files and client confidences never leave the firm's environment.
The lawyer keeps the judgment
We build for review-and-approve, not blind automation. The system triages, drafts, and flags; a lawyer decides anything that touches privilege, the record, or the client. That's what keeps it safe, ethical, and actually adopted rather than quietly worked around.
Ship into your real workflow
We deliver a working system integrated into your practice-management and document tools and used on live matters — not a pilot or a slide deck. Work is scoped and quoted per project, on a clear timeline agreed up front.
Hand over everything
Code, models, pipelines, and documentation are yours, running on your infrastructure under your firm's control. Your team — or whoever you bring in next — can maintain and extend the system after we leave, with no per-seat platform fee and no lock-in.
What these systems are built to do
The kind of capability these systems give you — not client metrics.
AI for Legal — answered
By deploying where you control the data. We can run the system on your own infrastructure or fully on-premise, so matter files, client confidences, and work product never leave your network or get handed to a third-party model for training. Access controls and an audit trail are built in, and confidentiality and privilege are architecture decisions we make at the start rather than features added later. For most firms, keeping the data inside is the deciding factor, and we build for that from day one.
The failure you've read about — a chatbot inventing citations — comes from asking a general model to recall law from memory. That's not what we build. Our systems work by retrieval: the assistant answers from your own matter files and precedents and shows the source document behind every answer, so a lawyer can verify it rather than trust it blind. Anything the system is uncertain about is flagged, not guessed. And we don't position it to render legal conclusions on its own — a lawyer reviews anything that matters. The design removes the conditions that cause fabrication in the first place.
Yes — integration is part of the build, not a separate project. We connect into the practice-management platform you already use (Clio, and comparable systems), your document management (iManage, NetDocuments, or similar), and your email, so the tools act on live matter data and write back where your team already works. The point is a system embedded in your existing workflow, not another standalone tool your lawyers have to remember to open.
No — it changes what they spend their hours on. The routine, high-volume work — reading through a full document set, reconstructing time entries, drafting status updates, chasing an engagement letter — is exactly what drains capacity without using anyone's legal training. Automating the first pass lets your associates and paralegals spend their time on analysis, strategy, and the cases that need judgment, and on more matters, rather than adding headcount to do the process work. A person stays in control of every decision that matters.
You own all of it — the code, the models, the data pipelines, and the documentation — deployed on your own infrastructure under the firm's control. There are no per-seat platform fees and no vendor lock-in. We hand everything over with a proper knowledge transfer so your team, or another developer you hire, can run and extend it without ever calling us. We'd rather earn repeat work by being good to work with than by holding your matter data hostage.
Not always, and we'll tell you where it isn't. Some of what a firm needs is a clean integration or a deterministic rule, not a model — a docket deadline is a date on a calendar, not a prediction — and forcing AI into those steps adds cost and fragility for no gain. We use machine learning where it genuinely earns its place, like relevance and privilege triage or reconstructing time from scattered records, and keep the rest simple. That makes the system cheaper to run and easier for your firm to maintain. If an off-the-shelf tool already solves a problem well, we'll point you to it rather than build around it.
Related use cases
Other industries we build for
Let's build it for Legal.
Tell us the operation you want to transform. We'll map the system and scope it with you — or give you an honest no.