People, risk and sustainability. General Counsel
AI for the Legal Office
The business wants legal to say yes faster. Every contract still waits in the same queue.
Your lawyers spend their days on NDAs and standard terms. Obligations sit unread in signed contracts, outside counsel bills go through unchecked and new rules arrive faster than anyone can read them. We map the Legal Office the way your team actually works, then put agents where they free your lawyers for the work only lawyers can do.
The short answer
It takes the volume work off your lawyers. Agents review standard contracts against your playbook, track every obligation in signed contracts, check outside counsel bills line by line, map new rules to the business and handle first pass document review.
Your lawyers keep the judgement, the negotiation and every call on risk. The agents do the reading and the checking, so the business gets answers faster and legal spend goes down.
The mandate
Protect the company and enable deals. And manage disputes and regulatory risk at sensible cost.
What the board measures you on
Contract cycle time
By contract type
Outside counsel spend
Against budget by firm
Litigation exposure
Open matters by risk
Regulatory findings
Issues raised by regulators
Matter cycle time
From intake to close
Obligations met
Contract duties on time
The canvas of the Legal Office
Most legal tools store documents. The real work, and the real cost, sits in reading them, comparing them with your positions and making sure what was agreed actually happens.
Canvas 1
What you run
The legal engine.
Contracts and commercial
Drafting, review and negotiation of contracts.
Disputes and litigation
Claims, disputes and investigations.
Corporate and entities
Entity management, governance and filings.
Outside counsel
Panel firms, budgets and billing.
Legal front door
Requests from the business, triaged and answered.
Canvas 2
What you answer for
The things the board and regulators hold you to.
Regulatory change
New laws and rules across every market you trade in.
Legal risk in AI
IP, data protection and liability from AI use.
Privilege and records
Retention, legal holds and privilege.
Data protection
GDPR and local privacy rules across the group.
Where value leaks
Most of them come from volume. Standard work fills the week, and the work that needs a lawyer waits behind it.
01
Contract review queue
Standard contracts wait days for a lawyer.
Playbook review agents. Compare every clause with your positions, suggest changes and send exceptions to a lawyer.
Contract cycle time
Lawyer hours
02
Missed obligations
Duties buried in signed contracts nobody reads again.
Obligation agents. Extract every obligation, deadline and renewal and remind the owner before it’s due.
Obligations missed
Unplanned renewals
03
Outside counsel bills
Bills paid without a check against billing guidelines.
Invoice review agents. Check every line against agreed rates and rules and flag what shouldn’t be paid.
Savings on legal spend
Spend against budget
04
Regulatory change by hand
Lawyers scan publications and newsletters manually.
Horizon scanning agents. Read new rules as they’re published and map them to contracts, policies and owners.
Time to assess new rules
Rules missed
05
Document review cost
Discovery and due diligence billed by the hour.
Document review agents. First pass review and tagging at scale, with a lawyer signing off.
Cost per document
Days to review
06
AI used without legal review
Teams adopt AI tools before legal sees the terms or the risk.
AI intake agents. Screen each new AI use and vendor contract for IP, data and liability, and route the risky ones.
AI uses reviewed
Time to approve
Process lifecycles
We start from the tools you already run. The orange steps are where an agent takes on the work. Every call on legal risk stays with a lawyer.
Contract lifecycle
Every contract
Request
Draft
From approved templates
Agent
Review
Against your playbook
Agent
Negotiate
Sign
Obligations
Tracked to owners
Agent
Typical systems. Icertis, Ironclad, DocuSign, SharePoint
Legal front door
Every request
Intake
Request understood
Agent
Answer
Routine questions resolved
Agent
Route
To the right lawyer
Agent
Advise
Close
Typical systems. Microsoft Teams, ServiceNow, email
Regulatory change
Continuous
Scan
Laws, rules and guidance
Agent
Assess
Impact mapped
Agent
Decide
Implement
Track
Until closed
Agent
Typical systems. Regulatory feeds, GRC tools, policy libraries
Matters and outside counsel
Every matter
Open
Review
First pass documents
Agent
Manage
Bills
Checked line by line
Agent
Close
Typical systems. Matter management tools, billing tools, Relativity
Agent intervention point
The Legal control tower
Not a monthly matter list in a spreadsheet. A live view of what’s waiting on legal, what’s due, what’s changing and what it all costs.
Illustrative
Legal control tower
Sample data to show the view. Not client results.
Contract cycle
3 days
▼ from 11
No lawyer needed
62%
Standard contracts
Obligations due
37
Next 30 days
Rule changes
23
In flight
Open matters
18
3 high exposure
Bills flagged
€410k
This year
This week’s legal brief
Renewal
Two supplier contracts renew automatically in 30 days
Owners in procurement alerted
Rules
New consumer law guidance affects 40 customer contracts
Impact mapped. Lawyer review booked
AI use
Marketing wants a new AI image tool
Vendor terms screened. IP clause sent to a lawyer
Spend
Panel firm bills down 14% on last quarter
Block billing and rate breaches flagged
Requests to legal this month
Contracts
412
Privacy
96
Employment
58
Disputes
21
Contracts are 70% of requests. Most are standard, and that’s where agents give your lawyers their time back.
Illustrative example. Figures are invented to show how the view works. In discovery we build it on your own data and KPIs.
Your industry changes the agenda
The canvas stays the same. The contracts, the rules and the disputes do not. Here’s the question we hear most from legal leaders in each industry, and where agents help first.
CPG
How do we keep up with retailer, distributor and supplier contracts across markets?
Playbook review and obligation tracking
FMCG
How do we check every label and claim against local law?
Regulatory scanning and claims review
Retail
How do we manage thousands of supplier and lease contracts?
Obligation and renewal tracking
D2C
How do we stay compliant with consumer law with a small team?
Regulatory scanning and the legal front door
Automotive
How do we manage dealer, supplier and warranty contracts?
Contract review and obligation tracking
Healthcare
How do we protect patient data across every partner?
Data protection review of contracts
Energy
How do we track duties in long term supply and concession contracts?
Obligation extraction and tracking
Manufacturing
How do we review supplier terms at the speed procurement needs?
Playbook review of supplier contracts
Logistics
How do we handle claims and liability across carriers?
Claims triage and contract checks
BFSI
How do we keep up with the volume of regulatory change?
Horizon scanning and impact mapping
B2B technology
How do we close customer contracts without legal slowing sales?
Playbook review and AI terms screening
How the Legal Office connects
Every obligation starts with legal reading a rule or signing a contract. Compliance turns it into policy, procurement and sales live with the contracts every day. The agents that serve the Legal Office share the same platform and data as those offices, so what legal agreed is what the business does.
The obligation relay
People, risk and sustainability
See where obligations slip between your offices.
Rule to policy
Compliance Office
Where new rules become policies and controls.
Supplier contracts
Procurement Office
Where supplier terms are negotiated and used.
Customer contracts
CRO Office
Where deal speed meets contract risk.
How we’d start
Pilot 1
Standard contracts against your playbook
↳
Review agents on NDAs and one other high volume contract type
↳
Every clause checked against your positions, exceptions sent to a lawyer
↳
Cycle time and lawyer touch rate measured
Your decision
Whether to add more contract types.
Pilot 2
Obligations from your top contracts
↳
Obligation agents on your 200 most important contracts
↳
Every duty, deadline and renewal extracted and given an owner
↳
Missed obligations and unplanned renewals tracked
Your decision
Whether to extend it to the full contract base.
Both run under our Validation First Framework. They’re tested on your own data before you commit a larger budget, and if the numbers don’t hold, we tell you.
Your intervention map
Bring your playbook, your request log and last year’s outside counsel bills. We bring the Legal Office canvas. In one session we map it to your systems and team, and mark where agents would pay back first.
01
Your Legal Office canvas
What you run and answer for, checked against how your lawyers and the business really work.
02
Your value chain
The canvas placed on your industry and company, showing where your contracts and legal risk really sit.
03
Your intervention points
Each leak with an agent design, its controls and the KPI it moves. Delivered as a mind map, an architecture view or an interactive dashboard.
AI for the Legal Office, answered
What can AI do for the Legal Office?
Agentic AI takes the volume work off your lawyers. Agents review standard contracts against your playbook, track every obligation in signed contracts, check outside counsel bills line by line, map new rules to the business and handle first pass document review. Your lawyers spend their time on judgement, negotiation and risk.
Can AI review contracts?
Yes, for standard contracts. Agents read the contract, compare every clause with your playbook, suggest changes and send anything outside your positions to a lawyer. NDAs and standard supplier or customer terms can move in hours instead of days. A lawyer signs off on anything that needs judgement.
Is legal AI safe for privileged and confidential documents?
It has to be designed for it. Agents run inside your own environment, with access set by matter and role, and nothing is used to train outside models. Every action is logged, so you can show who saw what and when.
How can AI help with regulatory change?
Horizon scanning agents read new laws, rules and guidance as they’re published, extract what changes and map it to the contracts, policies and owners it affects. Your lawyers review the mapping and decide what to do. New rules are assessed in days instead of months.
Can AI cut outside counsel spend?
Yes, in two ways. Invoice review agents check every bill line against your billing guidelines and flag what shouldn’t be paid. And work that used to go out, like first pass document review and standard contracts, can stay in house with agents doing the volume.
Where should a General Counsel start with agentic AI?
With standard contracts. Put an agent on NDAs and one other high volume contract type, reviewing against your playbook, and measure cycle time and how often a lawyer still has to step in. Obligation tracking on your top contracts is a strong second pilot.
