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Use Case · CLM Heritage

Contract Analysis.
Every Agreement, Run End To End.

Leah reads every contract, extracts every obligation, scores risk against your playbook, and routes work to the right owner. CLM as the source of truth that feeds every commercial function.

78%
Faster contract cycle times
91%
Reduction in manual review time
98.3%
Extraction accuracy across clauses
Trusted by legal, procurement, and contracting teams at
Alaska Airlines
Advantage Solutions
AGC Biologics
Agree Realty
Aliaxis
ANSA McAL
Beiersdorf
Blackhawk Network
BSH
Comerica Bank
Corebridge
Crawford & Company
Cushman & Wakefield
Daikin
Dawn Foods
Dubai Future Foundation
FNIH
Fullerton Fund
Greencross Vets
Hastings Deering
Hawaiian Airlines
KPMG
Karcher
Land O'Lakes
Li & Fung
LogicMonitor
Maxim Healthcare
Multi-Color Corporation
MDI / Novare
Merz Therapeutics
MicroStrategy
MUFG
Molecular Partners
Nations Roof
oOh! Media
Pepco Group
Philips
Pernod Ricard
Pleo
PowerSchool
PwC
Quanta Services
S&B Engineers
Sandoz
Sciensus
Sonepar
StarHub
Suburban Propane
tesa
Housing Bank
Vencora
Verint
Viva.com
Wood PLC
YETI
Alaska Airlines
Advantage Solutions
AGC Biologics
Agree Realty
Aliaxis
ANSA McAL
Beiersdorf
Blackhawk Network
BSH
Comerica Bank
Corebridge
Crawford & Company
Cushman & Wakefield
Daikin
Dawn Foods
Dubai Future Foundation
FNIH
Fullerton Fund
Greencross Vets
Hastings Deering
Hawaiian Airlines
KPMG
Karcher
Land O'Lakes
Li & Fung
LogicMonitor
Maxim Healthcare
Multi-Color Corporation
MDI / Novare
Merz Therapeutics
MicroStrategy
MUFG
Molecular Partners
Nations Roof
oOh! Media
Pepco Group
Philips
Pernod Ricard
Pleo
PowerSchool
PwC
Quanta Services
S&B Engineers
Sandoz
Sciensus
Sonepar
StarHub
Suburban Propane
tesa
Housing Bank
Vencora
Verint
Viva.com
Wood PLC
YETI
Alaska Airlines
Advantage Solutions
AGC Biologics
Agree Realty
Aliaxis
ANSA McAL
Beiersdorf
Blackhawk Network
BSH
Comerica Bank
Corebridge
Crawford & Company
Cushman & Wakefield
Daikin
Dawn Foods
Dubai Future Foundation
FNIH
Fullerton Fund
Greencross Vets
Hastings Deering
Hawaiian Airlines
KPMG
Karcher
Land O'Lakes
Li & Fung
LogicMonitor
Maxim Healthcare
Multi-Color Corporation
MDI / Novare
Merz Therapeutics
MicroStrategy
MUFG
Molecular Partners
Nations Roof
oOh! Media
Pepco Group
Philips
Pernod Ricard
Pleo
PowerSchool
PwC
Quanta Services
S&B Engineers
Sandoz
Sciensus
Sonepar
StarHub
Suburban Propane
tesa
Housing Bank
Vencora
Verint
Viva.com
Wood PLC
YETI

The contract is the source of truth. Most legal workflows treat it like a filing cabinet.

Manual review consumes the legal team

Counsel spends most of their time reading the same clauses across hundreds of agreements. The work that requires judgment gets squeezed by the work that requires only attention. Throughput stalls and hiring more lawyers does not fix the underlying mechanics.

Inconsistent redlining across attorneys

Two attorneys looking at the same clause produce two different redlines. Playbook positions live in heads and Word templates, not in the workflow. The result is inconsistency that vendors learn to exploit and counterparties learn to question.

Obligations buried in PDFs nobody reads

Once a contract is signed, the commitments inside it disappear into the file system. Indemnity caps, audit rights, data return clauses, and notice periods are all in there, but no system surfaces them when the operating teams need to honor or enforce them.

Renewal dates slipping through cracks

Auto-renewals trigger on outdated terms because nobody flagged the renegotiation window in time. Off-cycle reviews never happen. By the time procurement notices, the contract has already locked in another year of yesterday's pricing.

Risk scoring done after signing, not before

Risk reviews tend to be reactive. A contract becomes a problem and someone reads it again. Forward-looking risk scoring at intake, when it would actually change negotiation posture, rarely happens because there is no time and no system that supports it.

No portfolio-level intelligence

Leadership cannot answer basic questions about the contract estate. How much exposure sits in uncapped indemnities? Which vendors have favorable termination rights? The data is in the contracts, but extracting it across the portfolio is a project, not a query.

Every incoming contract classified before it hits a queue

When a new agreement arrives, Leah classifies it by type, jurisdiction, value tier, and counterparty profile within seconds. High-risk contracts get routed to senior counsel. Standard NDAs follow a fast lane. Nothing sits in an inbox waiting for a human to decide where it belongs.

Automatic ClassificationContract type, jurisdiction, business unit, value tier, and counterparty type are detected on intake with audit-grade accuracy.
Risk-Tiered RoutingStandard agreements run a fast lane. High-value or high-risk contracts route to senior counsel with the right context preloaded.
Counterparty ContextExisting agreements with the same counterparty surface alongside the new one, so reviewers see the full relationship history.
Intake Triage TodayLive
324
Contracts Today
12
Type Categories
94%
Auto-Classified
Routing Outcomes
NDA Fast Lane
187
MSA Senior Counsel
42
Vendor Standard
63
High-Value Review
21
Manual Triage
11

“Triage used to be a person reading every cover email and guessing where the contract should go. Leah does it instantly and gets it right far more consistently than we did.”

General Counsel, Global Pharma

Five steps to a contract estate that runs itself

Leah works with the systems you already run. No rip and replace. Value from the first contract she reads.

1

Connect to CLM

Leah integrates with your existing CLM, document repositories, and shared drives. Contracts flow into a single intelligence layer without replacing the systems your team already uses.

2

Read & Extract

Every agreement is read end to end. Clauses, obligations, dates, parties, and risk signals are extracted as structured data with audit-grade accuracy across standard and bespoke contracts.

3

Apply Playbook

Your negotiation playbook becomes executable. Leah scores every clause against preferred and fallback positions, generates redlines in your house style, and surfaces deviations with severity.

4

Route & Approve

Triaged contracts flow to the right reviewer with the right context. Approval workflows escalate by risk and value tier. Counsel approves judgment calls. Standard work runs the fast lane.

5

Track Obligations

Once signed, every commitment, renewal trigger, and operating obligation is tracked on a live calendar. Owners are notified before deadlines. Portfolio intelligence becomes queryable.

Got Questions? Get Answers.

Leah handles the full breadth of commercial agreements: NDAs, MSAs, SOWs, vendor contracts, customer agreements, licensing, employment, real estate, and regulated agreements across jurisdictions. She works on both your standard templates and heavily negotiated bespoke contracts. The model reads the actual document, not a structured template, so non-standard formats and clause variations are handled natively.

Leah operates on top of your existing CLM, document repositories, and shared drives. She reads from those systems, runs the analysis layer, and writes structured data, redlines, and routing decisions back. There is no rip and replace, and your team continues working in the tools they already use. Common integrations include Ironclad, Agiloft, ContractWorks, SharePoint, Google Drive, and direct file system connections.

Extraction accuracy averages 98.3% across clauses, dates, and obligations on validation sets. On heavily negotiated bespoke contracts, accuracy stays high because Leah reads the actual document rather than mapping to a template. Where extraction confidence is below threshold, the clause is flagged for human review before it enters the structured data layer. The system improves further as it learns from your team's corrections.

Most customers see retrospective obligation extraction within the first 30 days, surfacing commitments across thousands of existing contracts. Forward-looking review and triage starts at the first new contract after deployment. Playbook tuning typically takes two to four weeks, after which auto-generated redlines reflect your house style and negotiation positions.

Yes. Leah is deployed by major pharma, financial services, and industrial firms with strict data security requirements. Contract content does not train Leah's underlying models. Data is encrypted in transit and at rest. SOC 2 Type II, GDPR, CCPA, HIPAA-ready, and ISO 27001 aligned. Private instance deployment is available for customers with strict data isolation requirements.

Your playbook is captured in two ways. First, Leah ingests existing playbook documents, preferred templates, and historical redlines from prior negotiations to learn your preferred and fallback positions. Second, your team's accept and reject decisions on suggested redlines refine the model over time. Within a few weeks of active use, Leah's output mirrors your house style and negotiation posture without manual configuration.

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