One AI team per matter file
Six roles work the same matter file: intake and triage, legal research summaries, contract review and clause extraction, document drafting, obligation tracking, and the template and precedent library.
Legal
AI agent workspace
AI Agent for Legal
Put matter intake, research, and contract review on agents that show an attorney every source they used.
Matter intake and triage, legal research summaries, contract review and clause extraction, document drafting, and obligation tracking run in one shared workspace, where every summary, clause table, and draft arrives as a reviewable artifact with its sources attached for an attorney to verify.
- One AI team per legal matter
- Research summaries arrive with their sources attached
- Turn scattered matter files into reviewable work
The gap
Why legal work slows down long before the judgment call
Every request needs a document read before it can be answered.
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01
Executed contracts, template libraries, prior redlines, matter notes, closing sets, regulator guidance, and the email thread where the business actually agreed to something all sit in different places.
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02
Before anyone can answer, someone has to find the governing clause, the last precedent the team used, and whether the standard position changed since the template was written.
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03
A general model will produce a case citation that does not exist, or read an indemnity clause backwards. In legal work that error lands in a filing or a signed agreement.
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04
A general counsel cannot see which authority an answer rested on, which version of the template a draft came from, or which attorney signed off before it went out.
Why Buda
An AI agent for legal work has to open the file first
Build a workflow around AI Agent for Legal.
Where a legal chatbot answers one question and drops the thread, Buda holds the agents, the executed contracts, the template library, the matter notes, and the review rules in one shared workspace.
Agents prepare, attorneys decide
They triage requests, pull the authority, extract the clauses, and draft the first version, then hand back an artifact with its sources listed, which an attorney verifies before anything is relied on or sent.
Every source in one place
Executed contracts, templates, prior redlines, closing sets, policies, and matter notes live together, so an agent reads the clause that is actually in force rather than a copy someone saved last year.
Capabilities
Six agents, one matter file, and an attorney at the end of every one
Each agent owns one job on the matter file, and each returns something with its sources shown, so an attorney can check the work rather than take it on faith.
Matter intake & triage agent
Read an incoming legal request, pull out the counterparty, request type, and deadline, flag what is missing, and route it with a summary the legal ops manager can act on.
Example artifact: Matter intake
routed for review
9 requests triaged · 3 missing information
- NDA requeststandard template
- Vendor MSAcounsel review
- Employment questionmissing dates
- Data processing addendumprivacy queue
Legal research summary agent
Search the sources you give it and return a research summary that quotes each authority and points back to the document it came from, for an associate to verify before anything reaches a brief.
Example artifact: Research summary
citations unverified
6 authorities cited · 2 need an associate check
- Question and jurisdiction
- Authority with quoted passage
- Source document and page
- Open points for the associate
Contract review & clause extraction agent
Pull the indemnity, limitation of liability, termination, assignment, and governing law clauses out of a contract, compare them against your playbook, and list the deviations for counsel to work through.
Example artifact: Clause extraction
counsel to review
11 clauses pulled · 4 off-playbook
- Indemnity scope
- Liability cap and carve-outs
- Termination for convenience
- Governing law and venue
- Assignment on change of control
Document drafting agent
Assemble a first draft from your own template and the matter file, whether that is an NDA, an engagement letter, or a discovery response, with variable fields filled and open questions marked.
Example artifact: NDA draft
open questions marked
6 variable fields filled · 2 for counsel
- Party names and entity type
- Term and effective date
- Confidentiality carve-outs
- Open question for counsel
Obligation & deadline tracking agent
Read executed agreements for renewal windows, notice periods, reporting duties, and audit rights, then keep a dated list of what is owed and when, for compliance counsel to confirm.
Example artifact: Obligation list
dates to confirm
14 obligations extracted · 3 due within the month
- Auto-renewal notice window
- Quarterly reporting duty
- Audit right and lead time
- Data deletion commitment
Template & precedent library agent
Track which templates, fallback positions, and prior redlines the team is actually using, surface the ones that no longer match the current standard position, and propose the edits for a contract manager.
Example artifact: Library review
edits proposed
7 templates checked · 2 out of date
- Superseded liability cap
- Old privacy addendum
- Unused fallback clause
- Precedent worth promoting
Give your legal team an agent pod and one workflow to test it on.
Point the agents at your template library and a folder of signed contracts, then name the one workflow you want checked. Free pilot — no credit card.
Pilot plan
How to pilot an AI agent for legal in 4 weeks
Take a single workflow. If an attorney cannot get through the whole output, the scope is still too wide.
Four weeks is enough to see what the agents actually took off your desk, and which calls a lawyer still had to make.
01
Week 1
Choose one legal workflow
Matter intake and triage, contract review and clause extraction, document drafting, or obligation tracking. Take the one your team repeats weekly.
Keep it to that single workflow so nothing leaves the team unread while you are still learning what the agents get right.
02
Week 2
Assign agents and controls
Invite the counsel and paralegals who own that workflow. Add the templates, executed contracts, and matter notes it reads from, and nothing beyond them.
Then fix the boundary in writing. Whatever an agent produces stops inside the workspace until an attorney has read it and put a name to it.
03
Week 3
Measure output and review quality
Open the intake summaries, clause tables, and drafts the agents produced, trace each one back to its source document, and check whether it holds.
Note where a citation or a clause reading needed correcting. That number tells you more than the time saved does.
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Week 4
Expand or stop cleanly
When the output held up, run the same setup over a second contract type, the renewals queue, or the research backlog sitting behind it.
When it did not, close it out. The drafts, the source documents, and the reviewer names are all still sitting in the workspace.
Safer by design
The line between preparation and legal advice
Legal work carries duties that software does not hold. A summary that reads a clause backwards, or a citation to a case that does not exist, can end up in a filing, and the consequence lands on the lawyer who signed it.
So Buda draws the line at preparation. Agents assemble, extract, summarize, and draft. Legal advice, privilege calls, filings, signature, and final judgment stay with a licensed attorney. Buda makes no warranty that a citation or a clause reading is correct, and every one of them has to be checked against the source.
Use Buda when you want AI to help with:
- Triaging incoming legal requests
- Extracting clauses from contracts
- Summarizing research with sources shown
- Drafting first versions from templates
- Tracking obligations and notice dates
- Comparing terms against your playbook
- Keeping templates and precedents current
- Making matter work auditable
Avoid
Do not use AI to give legal advice, decide privilege, file anything, or sign on a client's behalf.
Use Buda instead
It belongs underneath the practice, doing the reading and the assembling. The advice itself, and the name that goes on it, remain a lawyer's to give.
FAQ
Legal teams' questions about putting agents on matter work
What is an AI agent for legal work?
It is software that carries a multi-step legal task rather than answering one prompt: reading an incoming request, pulling clauses out of a contract, summarizing research, drafting from a template, tracking obligations. What Buda adds is the paper trail. Each output opens alongside the documents it drew on, and an attorney signs off before the work is used.
How is a legal AI agent different from a legal chatbot?
Ask a chatbot about an indemnity clause and it answers from whatever it absorbed in training. An agent opens the executed agreement sitting in your workspace, extracts the clause, and leaves behind the extraction, the document it came from, and the name of whoever reviewed it.
Can an AI agent replace lawyers or paralegals?
No. Agents can carry reading, extraction, summarizing, and first drafts. Advice, privilege determinations, negotiation strategy, filings, and signature belong to licensed attorneys, and nothing an agent produces should leave the team unread.
What stops an agent from citing a case that does not exist?
Nothing does. A language model can produce a citation that looks right and is not, which is why verification stays a human step. What Buda changes is the shape of the output: each authority in the summary names the document it came from, so an associate can pull that document and check it in Westlaw or Lexis.
What is the best first workflow for a legal AI agent?
Pick the repetitive job that is quickest to spot-check. Matter intake and triage, clause extraction against a playbook, or first-draft NDAs are good openers, because a reviewer can tell in minutes whether the output is usable.
Does one workspace cover both contract work and litigation research?
Yes. They stay separate agents on one workspace: a clause-extraction agent works the contract, a research agent works the question. Both read from the same matter files, so a term found in review can feed the memo without anyone re-uploading it.
Who on a legal team uses an AI agent?
In-house counsel, contract managers, paralegals, legal operations managers, litigation associates, and compliance counsel each get a different deliverable from the same workspace. A general counsel looking in later can trace any deliverable back to the documents behind it and the attorney who cleared it.
Launch your AI agent for legal with Buda
The reading, the extraction, and the first drafts move to the agents. Your attorneys keep everything that needs a license.
Start with one workflow: matter intake and triage, legal research summaries, contract review and clause extraction, document drafting, or obligation tracking.
Free pilot · No credit card · Live in 30 minutes