AI · LEGAL AI

Contracts reviewed with full operational context. Not in isolation.

Trade contracts don't live in a vacuum. A supply agreement references an order. A change order modifies a milestone. A quality agreement binds a supplier whose track record is in your data. Legal AI reads the contract AND your operational graph — flagging risk clauses against your playbook, drafting amendments with the operational context already there, and surfacing dispute precedents from your own past contracts. Not a generic legal AI. Yours, with everything attached.

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Playbook coverageFullSupply, NDA, QA, LC review, change order, force-majeure, distribution templates
Review modeContext-attachedEvery flag tied to operational data · not generic clause analysis
DraftingWith redlinesAmendments drafted with operational context already cited
Jurisdictions at v1Multi-regionUS, EU, UK, APAC, LATAM, MENA · cites verified against region rules

CONTRACT REVIEW · WITH OPERATIONAL CONTEXT ATTACHED

The contract. The operational reality. The analysis that connects them.

A supply agreement from Crescent Manufacturing arrives for review. Legal AI opens the document — and pulls in the supplier's track record, the destination jurisdictions, the orders this contract governs, and the dollars on the line. Three panels. One review. Every flag tied back to operational data the contract is actually about.

Same screen for an NDA, an LC review, a change order, a force-majeure invocation. Operational context follows the contract — not the other way around.

THE PROBLEM LEGAL AI SOLVES

Trade contracts get reviewed in a vacuum. The operational data they govern lives somewhere else.

PROBLEM · 01

Contracts live in a separate world from operations.

Supply agreement signed last quarter. Production starts this quarter. The clause about Net 45 payment terms gets missed at hand-off. Three months later finance is fighting a $400K AR dispute the contract said was coming — if anyone had been reading the contract and the cash flow at the same time.

$400KAR dispute · per missed clause
PROBLEM · 02

Generic legal AI doesn't know your business.

Harvey, Spellbook, Ironclad — all see the contract. None of them see the supplier's QC pass rate, the destination's MDR requirements, the prior dispute on identical wording, or the company's playbook. They read words. They don't read context. Strong language model, zero operational fluency.

0 / 4context dimensions read
PROBLEM · 03

Outside counsel at $15K per contract review.

Mid-market trade operator signs 50+ contracts a year — most routine supply agreements, change orders, NDAs. $750K+ a year in external legal review fees on documents your team understands better than counsel does. Outside counsel should be reserved for the unusual.

$ 750K +annual · routine review

WHAT LEGAL AI DOES

Five named functions. Every legal task fits one — or a combination.

Legal AI is a tool, not a lawyer. It compresses the routine into minutes and prepares the unusual for outside counsel. Each function runs against the operational graph; each output is auditable, redlinable, and owned by the operator.

§

Review against playbook

Compare contract to your standard clauses. Flag deviations against your baseline supply, NDA, quality, distribution templates. Propose redlines with clause-by-clause rationale. Three colours: compliant, review, risk.

§ 7.1 Net 45 ·deviates ·redline to Net 30 ready.

Draft from precedent

Generate amendments, change orders, supply agreements, quality agreements — assembled from operational data, your standard templates, and your prior contracts as precedent. Drafts inherit your firm's voice and jurisdictional norms.

CO-2026-014 ·supplier · order · jurisdiction ·5 min · 8 pp.
Δ

Change-order analysis

When a change to an existing contract is requested, compute the economic and operational impact. Surface ripple effects on related orders, milestones, payment schedules, certifications — before the redline lands.

+30d delivery ·3 orders · 2 LCs · 1 cert ·net impact $ 184k.

Jurisdiction-aware compliance

Match contract clauses against destination regulations. Flag missing cites, ambiguous incorporations, and jurisdiction conflicts across 27 regulatory regimes. Example: EU MDR Art. 10(15) registration cite required for this class of device — missing in § 12.

Hamburg port · Class IIb ·MDR Art. 10(15) ·insert before § 12.4.

Dispute preparation

Pull together the evidence chain for any active dispute — contract version + performance data + communication log + payment history. Cross-reference precedent from the operator's own prior disputes. Draft an initial position memo for counsel to refine.

DSP-2026-003 ·contract · 14 mo perf · 22 emails ·memo drafted.

WHY THIS IS DIFFERENT

Legal AI reads the contract AND the operational graph.

Generic legal AI tokenises words. Legal AI traverses two graphs in parallel — the contract on one side, the operational reality on the other. Every clause it flags is anchored to data the contract is supposed to govern.

Legal AI doesn't review contracts in isolation. It reviews them against the operational reality they govern.

CUSTOMIZATION

Your standard clauses, your risk thresholds, your style.

Legal AI is opinionated about trade. It is silent about your trade. Upload your playbook, train on your history, draft in your voice — the model adapts to the operator, not the other way around.

PLAYBOOK · 01

Upload your playbook

Your standard supply agreement, quality agreement, NDA, distribution agreement. Legal AI parses each into structured clauses and uses them as the baseline for every review. Updates to a template propagate forward; old reviews are versioned.

baseline coveragesupply · QA · NDA · distribution
PLAYBOOK · 02

Train on your history

Past contracts plus their outcomes — clean, amended, disputed — inform Legal AI's risk weighting. The clause that produced a 9-month dispute last year is now flagged before it lands in the next draft. Your data, your patterns, your weights.

signals learnedclauses · outcomes · cycle time · settlement
PLAYBOOK · 03

Style and tone preserved

Legal AI drafts in your firm's voice. Sentence patterns, hedging language, jurisdictional norms, defined-term casing — preserved across amendments, change orders, and dispute memos. A reviewer should not be able to tell which paragraphs were drafted by which.

preservedvoice · defined terms · house style · cite format

DOCUMENT TYPES · v1

Twelve contract types. Reviewed, drafted, or both — out of the box.

These are the contracts a mid-market trade operator actually signs. Each type ships with a default playbook stub, a redline mode, and jurisdictional cite tables across 27 regimes. Custom types onboarded in one engagement.

DT-01

Supply agreements

MSAs and SOWs · multi-jurisdiction · volume, QC, pricing, renewal.

review · draft · redline
DT-02

Purchase orders

With custom terms · INCOTERMS · packaging spec · acceptance criteria.

review · draft
DT-03

Quality agreements

QA · CAPA · audit rights · regulated-industry annexes (FDA, EMA, ANVISA).

review · draft · redline
DT-04

Distribution agreements

Exclusive / non-exclusive · territory · minimums · IP carve-outs.

review · draft · redline
DT-05

NDAs

Mutual & one-way · trade-specific carve-outs · jurisdiction-aware.

review · draft · auto
DT-06

Letters of Credit

Terms review · UCP 600 cite check · document-collection alignment.

review · advise
DT-07

MAH letters

Marketing Authorisation Holder · pharma · cross-jurisdiction templates.

review · draft
DT-08

Customs documentation

CO, EUR.1, packing lists · review against shipment record and HS codes.

review · cite check
DT-09

Change orders

With economic + operational impact analysis on related orders, milestones, LCs.

draft · impact analysis
DT-10

Force majeure invocations

Drafted from event record, contract definition, and notice requirements.

draft · jurisdictional
DT-11

Settlement agreements

Disputed-claim resolution · with evidence chain pre-assembled for counsel.

draft · prep for counsel
DT-12

License agreements

Technology transfer · know-how · field-of-use · royalty calc reconciliation.

review · draft · redline

TRUST ARCHITECTURE

Legal data is the most sensitive data you hold. Handled as such.

Privileged material, draft positions, dispute evidence, settlement terms. Legal AI is designed for legal data from the ground up — five layers, every commercial provider on ZDR, Sovereign and Air-Gapped tiers available for the contracts where the leak is the lawsuit.

T · 01

ZDR · every provider

Zero Data Retention contracts on every commercial AI provider in the pipeline — data is not used for training, not retained for abuse review, not seen by humans.

claude · openai · gemini · azure · bedrock
T · 02

Sovereign & Air-Gapped tiers

For highly sensitive contracts. Sovereign keeps inference in your region; Air-Gapped runs in your VPC or on-prem with no internet egress. Recommended for privileged matters.

recommended · privileged · M&A · litigation
T · 03

Customer-managed keys

BYOK on documents and embeddings — KMS, CloudHSM, or HSM-backed key custody. Revoke a key, the corpus goes dark to Legal AI within seconds. You own the kill switch.

AWS KMS · GCP KMS · Azure KV · on-prem HSM
T · 04

Full audit chain

Every Legal AI interaction logged — input contract version, retrieved graph nodes, model + provider, output, reviewer signature, version diff. Exportable for SOC 2 / ISO 27001 / GDPR.

SIEM export · CEF · JSON · WORM-eligible
T · 05

Counsel still in the loop

Legal AI is a force multiplier, not a substitute. High-stakes matters — litigation, M&A, novel jurisdictions — still warrant outside counsel. Legal AI shortens preparation; your lawyer reviews the output.

tool · not lawyer · always reviewable

VS. ALTERNATIVES

Where Legal AI fits versus how trade contracts get reviewed today.

Each row is something a trade operator actually needs the contract reviewer to handle. The honest answer for each tool — including ours.

CapabilityLegal AIEDMA · trade-nativeHarveygeneric AI for law firmsSpellbookWord add-in · contract AIIronclad CLMcontract lifecycle mgmtOutside counsel~ $15K / review
Reviews contract with operational graph (supplier, order, jurisdiction, payments)if you brief them
Trade-specific clause patterns (LC, MAH, customs, MDR cites)specialist counsel
Jurisdiction-aware compliance · 27 regimes at v1major regimesUS + UKper jurisdiction
Operator playbook as the baseline (your clauses, your thresholds)firm playbookuser playbooktemplate repo
Historical precedent from operator's own past contracts & disputesif filed in CLMif briefed
Change-order impact analysis (ripple on orders, milestones, LCs)
ZDR on every provider · Sovereign + Air-Gapped tiers availableenterprise tierenterprise tierSaaS onlyfirm policy
Audit chain on every interaction (input, retrieval, output, reviewer)run historyrun historyworkflow logvia firm
Average per-contract review approachgraph-attachedtext-onlytemplate + redlineworkflow + personmanual

FAQ

If you have a sixth, we'd rather answer it on a call than write it here.

No. Legal AI is a force multiplier for routine review and drafting. High-stakes matters — litigation, M&A, novel jurisdictions, regulatory enforcement — still warrant outside counsel. Legal AI shortens preparation and assembles the evidence chain; your lawyer reviews the output. We are explicit about this: Legal AI is a tool, not a person.

Bring a contract. We'll review it with your operational graph attached.

Book a 30-minute demo. Bring a real supply agreement, NDA, or change order from the last 90 days. We'll wire it to your operational graph during the call and walk through the flagged clauses, the redline, and the precedent.

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Legal AI — contracts reviewed with full operational context | TradeOS