Trusted by leading law firms and legal teams across the Am Law 200
Three capabilities. One price you can stand behind.
Cost prediction. An AI agent for legal pricing. MIRA predicts what a matter will cost before you open the file, learning from your firm’s own closed-matter history, jurisdiction, complexity, matter type, and opposing counsel, and returns a confidence range, not a guess.
Staffing optimization. MIRA recommends the right mix of partner and associate time for the matter type, flags fee earners running over or under capacity, and tracks utilization to show which staffing actually stays profitable.
Budget alerts. MIRA flags matters tracking over budget at the 50% mark and notifies the partner with a plain-language explanation of why, never a black box.
Your biggest liability isn’t a lost case. It’s a bill nobody saw coming.
Guesswork,
priced
as fact.
Partners quote from memory. The same matter type gets wildly different estimates depending on who you ask — and the client only learns which guess was wrong after the invoice arrives.
Fixed fees, blind pricing.
Clients are asking for AFAs. The cost data exists — it’s just trapped across billing and matter systems you can’t query in the moment that matters.
The bill becomes the negotiation.
When a matter blows past budget, the invoice stops being paperwork. It becomes a conversation about trust — and some of those conversations end the relationship.
BigLaw wins on brand.
Mid-market firms can’t out-market BigLaw. They can out-price them — if they can stand behind the number before the matter opens.
MIRA doesn’t guess. It calculates. Every matter she processes makes the next prediction sharper.
One model. Four groups where deals repeat.
Corporate & Commercial Transactions
M&A transactions · Commercial contracts · Corporate governance
Every deal priced before the term sheet is signed, not guessed after the closing binder is thick enough to know.
MIRA analyzes deal size, jurisdiction, and counterparty complexity against your firm's closed matter history, because the document formats and deal stages repeat, even when the negotiation doesn't.
Real Estate & Finance
Real estate transactions · Lending and finance
The closing checklist is the same size, whether the deal is $2M or $200M.
Title search, due diligence, financing documentation, closing. MIRA learns the shape of your firm's real estate and lending matters and prices the next one against it.
Recurring Regulatory
Recurring Regulatory
The most predictable work you do is the work you do on a calendar.
License renewals, annual filings, compliance reporting. MIRA treats recurring regulatory matters as what they are: the closest thing to a subscription your firm already has.
Specialized Transactional
Employment transactional · IP transactional
Smaller practices. Same repeatable shape.
Employment agreements and IP filings are lower-volume, but MIRA applies the same logic: documentary work with a consistent structure, not a courtroom outcome.
Where MIRA doesn’t fit, on purpose.
These practices do use alternative fees today, usually contingency or capped structures that hedge against an uncertain outcome. MIRA solves a different problem: predicting the cost itself, which only works where the underlying process repeats. Litigation doesn’t have that.
From matter intake to budget monitoring
Phase 1
Intake
A new matter enters the firm’s process. MIRA evaluates type, jurisdiction, and complexity.
Phase 2
Predict
MIRA finds comparable matters in your history and generates a cost range, duration, and staffing mix.
Phase 3
Review
The partner sees the reasoning, adjusts assumptions, and picks the fee structure.
Phase 4
Monitor
Once the matter opens, MIRA tracks actual cost against budget and explains any drift.
Phase 5
Learn
Closed matter data feeds back into the model, sharpening the next prediction.
Not sure where to start? Begin with the AI Pathfinder Assessment.
Identify your highest-ROI agent opportunities, assess data readiness, and build an implementation roadmap.
Pricing certainty Offer AFAs
Historical data replaces partner intuition, quote fixed fees with confidence, not a guess dressed up as one.
Client retention Fewer disputes
Bills match expectations. Clients stay. The relationship survives the engagement instead of ending at the invoice.
Competitive edge Win on pricing
Mid-market firms can’t out-market BigLaw. They can out-price them, and pricing certainty is the close.
AI legal pricing built around your firm’s systems
Most AI vendors learn legal terminology after the fact. DOOR3 has spent two decades inside Am Law 200 firms, building the billing and matter systems mid-market firms actually run on. That difference shows up in every prediction MIRA makes.
Integrates with the systems you already bill through. DOOR3 has spent years building the billing and matter systems mid-market firms actually run on. MIRA doesn’t ask you to migrate anything, it connects directly to Aderant, Elite, Clio, and Thomson Reuters 3E, and reads matter context from iManage or NetDocuments where it needs precedent.
A prediction you can see the reasoning behind. MIRA doesn’t predict on day one. DOOR3 assesses whether your firm has enough historical signal first, a minimum of 5 years of closed matter data with final costs, before any model gets built. And once it does predict, partners see the reasoning, not just a number.
See our work“Cadwalader Connect allows us to leverage powerful tools to efficiently manage our business, strengthen internal and external relationships, provide efficient access to data, and deliver exceptional legal services to our clients.”
Fair questions. Straight answers.
MIRA is DOOR3's AI agent for transactional matter cost prediction. It analyzes new matter details against your firm's own historical closed-matter data to predict cost, duration, and optimal staffing — so you can offer fixed fees and AFAs with confidence instead of a guess.
MIRA learns from your firm's closed matters — jurisdiction, complexity, matter type, opposing counsel, and final cost — and returns a confidence range for the new matter, not a single number. The more comparable history your firm has, the tighter that range gets.
Because a single number pretending to be certain is exactly the problem MIRA replaces. A range with a confidence level tells you honestly how much the prediction can be trusted — high confidence for well-documented matter types, moderate for lower-volume ones.
Cost prediction depends on process consistency. Litigation involves judges, juries, opposing counsel strategy, and settlement dynamics — variables no historical model can reliably account for. MIRA works where the underlying process repeats: M&A, commercial contracts, real estate, lending, corporate governance, and similar transactional work.
A minimum of 5 years of closed matter data with final costs. Before any model is built, DOOR3 runs a data readiness assessment — if your firm's history isn't sufficient yet, we tell you that upfront, not after you've paid for a model that can't perform.
No. MIRA weighs each closed matter by how comparable it actually is — jurisdiction, complexity, and counterparty factors all shift the prediction, the same way an experienced partner would adjust an estimate mentally, except MIRA does it consistently across every matter, not just the ones a given partner happens to remember.
No. MIRA recommends a staffing mix and a cost range — partners see the reasoning behind every prediction, not just the output, and make the final call. MIRA is built to remove guesswork, not oversight.
MIRA connects directly to the systems you already use — Aderant, Elite, Clio, Thomson Reuters 3E — and reads matter context from iManage or NetDocuments where needed. Your data stays inside your own environment; MIRA doesn't require migrating anything to a new system of record.
Pricing depends on firm size, practice mix, and how much historical data needs to be assessed and modeled. Every engagement starts with the data readiness assessment — contact us for a quote scoped to your firm's actual practice areas and data maturity.
It starts with the data readiness assessment, which typically takes 1-2 weeks. From there, model training and integration timelines depend on how many practice areas you're predicting for and how clean your historical data is — DOOR3 scopes this with you before any commitment, not after.
Let’s see what your matters actually cost.
A short conversation about your billing data is enough to know if MIRA can predict from it. No commitment until we’ve confirmed the fit.
Request a free project quote
We will review your request and provide a project cost assessment within 1 — 2 working days.
Request a free project quote
