Leah vs LinkSquares: how they compare in 2026

Leah sells AI agents and an orchestration layer that sit on top of a contract lifecycle platform, and that platform works without them. The vendor describes it the other way round. It says other vendors bolted AI onto systems built for manual workflows, while Leah was designed from scratch with orchestration as the foundation. ContractPod Technologies has sold contract lifecycle management since 2012. Leah launched in March 2023 as an AI services hub within that platform, went standalone in May 2023, and Leah Intelligence followed in October 2024. Without the agents, the product is still a working CLM with guided intake, approval routing, DocuSign and Adobe Sign execution and a contract repository. That CLM has its own market and its own Gartner category placement. The orchestration layer on top is model driven.

LinkAI launched on 5 May 2026 as an agentic architecture that replaced the earlier approach. Independent review material describes it as a rebuild on a new architecture rather than a chat sidebar attached to the existing product. Extraction has been the core of the product from the start. Pulling payment deadlines, governing law, liability, renewal and commercial obligation terms out of signed agreements is a model task. The analytics layer the company is known for is built on that extracted output, so the models generate the data the rest of the product works with. The repository, workflow, approval routing and reporting still stand without the model layer. The agentic design is recent, dating from the May 2026 rebuild rather than from the product's origins.

Leah returns to accuracy repeatedly in its materials, and the AI governance page says every action is measured against benchmarks for accuracy, bias and outcome. Neither that page nor the home page publishes a result from that measurement. They give no accuracy figure, no error or hallucination rate, no description of any benchmark or test set and no published evaluation. The product material describes a legal helpdesk that answers contract questions with sources attached, so a user can in principle check an answer against its source. Neither page says what the system does when the customer's own contracts do not support a position.

LinkSquares publishes buyer guidance on evaluating AI contract management. It tells buyers to demand precision and recall benchmarks on their own documents and to keep review workflows for exceptions. LinkSquares publishes no precision or recall figure of its own, for any clause type, on any set of documents. Its comparison content claims extraction accuracy as a strength without a published measurement. It gives no error rate by clause type, no statement of behavior on nonstandard or ambiguous language, no confidence indicator on extracted values and no evaluation method. Extraction failures in this product are silent. A missed renewal date or auto renewal clause does not announce itself. It simply never appears in the report the legal team relies on.

Leah's dedicated AI governance page sets out a three stage control loop. In the first stage, policy in, the customer defines which agents may act, on which data, within which thresholds and where escalation is required. Those policies are held as configuration rather than code. In the second, execution governed, every agent action runs through those policies in real time. Approvals, escalations and rejections are applied automatically, and the orchestrator enforces guardrails at each step. In the third, audit out, every decision is logged with the rationale, what the agent did, why, under which policy, on what data and to what outcome. The records are described as tamper resistant and immutable. The loop sets the thresholds, the review points and the route back to human judgment. Leah's home page puts the position in one line, that the workflow runs itself while the judgment stays human. The page does not say what happens after an output is found to be wrong. Default modes are not described, because the customer configures the guardrails rather than receiving them preset.

LinkSquares positions itself as agentic CLM and states that the platform handles the bulk of standard contracts automatically. Its own buyer guidance recommends maintaining review workflows for exceptions. For its own product, it does not publish which contract types or value thresholds can complete without human review, or what makes a contract standard enough to be handled automatically. It does not say whether an agent can send or approve a contract unattended, or what confidence threshold routes an exception to a person. Nor does it say what the audit record shows when an agent rather than a lawyer made the call.

Leah publishes qualitative quotes from four named people. Noelle Perkins is EVP and Chief Legal Officer at Cushman and Wakefield, and Lidia Kamleh is Chief Legal Officer at Dubai Future Foundation. Frances Bain-Cumberbatch is Chief Legal and External Affairs Officer at Ansa McAL, and Zillia Knight is Senior Legal Officer at Terumo Europe. Three results are published with the customer unnamed. A major American logistics company cut contract review time by 91 percent. A global manufacturer protected more than $18 million of revenue, and an American retail REIT tracked more than $2 million of savings. About 54 enterprise logos appear, including Philips, MUFG, Sandoz, Pernod Ricard, Alaska Airlines and Wood PLC. PwC and KPMG appear among them. PwC entered a commercial alliance in March 2024, and Epiq resells Leah in its Service Cloud. Integreon is quoted as an early adopter that resells it, and Pinsent Masons adopted it for managed legal services in July 2025. Partners and customers are shown together without distinction, and the Chief Product Officer of Execo, another services partner, is among the testimonials.

LinkSquares names DraftKings, TIME, ProPharma and Asurion as customers and states more than 1,200 customers in all. G2 has named it a Leader in contract lifecycle management for five years running, including the Winter 2026 Grid Report. On G2, 98 percent of users are reported as saying the product is moving in the right direction. A case study with Softonic, a named customer, reports outside counsel costs cut by 40 percent. The case study says NDAs used to take three to four business days, and that sales reps using templates now spend on average five times less time executing them. A LinkSquares comparison guide describes the same result as NDA processing time cut by nearly 400 percent. The vendor also states a 360 percent return on investment over three years, without a method, sample or baseline.

Leah says customer contract data is never used to train models. The AI governance page treats data leaking into models the customer does not own as a failure it engineered out. It says zero data retention is the only acceptable answer, and that Leah enforces zero retention with OpenAI and Anthropic so they process data but never store it. Encryption is AES-256 at rest and TLS in transit, with keys in Azure Key Vault, rotated and reachable only through controlled service accounts. Role based access control is said to apply at every layer, and single tenant deployment is offered for customers with strict isolation needs. Leah sells to Fortune 500 legal departments, and none of this material addresses privilege or work product.

A dedicated security page publishes SOC 2 Type II, ISO 27001 and GDPR compliance and encryption of all contracts and data. The vendor says customer data stays private within the platform. Independent review material, a practitioner view rather than vendor material, describes the residency and retention controls as mature enough that a public company legal operations lead need not negotiate addenda. Nothing published addresses legal professional privilege or attorney work product. Negotiation playbooks and clause libraries are the closest thing to work product in this product. The security material does not cover their confidentiality, though the vendor says elsewhere that they are isolated. Legal, sales, procurement, finance and HR work in the same instance, and nothing published describes the line between legal's own analysis and the wider business.

Leah publishes nothing on the line between a tool and legal advice. Its site carries no disclaimer of any kind and no ethics or professional responsibility page, and it names no bar or ethics guidance, including ABA Formal Opinion 512. The platform is sold to run legal work end to end across legal, procurement and finance teams. In the vendor's own framing, agents carry out commercial work in several steps without routing every decision through a person.

The product drafts, reviews and approves contracts and is sold for use by sales, procurement, HR, marketing and finance as well as legal. Staff who are not lawyers act on machine generated contract analysis by design, and the vendor presents that as a feature. LinkSquares publishes nothing on the line between the tool and legal advice. No statement says output is not legal advice, and no guidance says when a contract should reach a lawyer. Nothing covers in house counsel's supervision of business users who write contracts themselves, and nothing engages with bar guidance.

A dedicated AI governance page names six failure modes the vendor says it engineered out. They include black box decisions that cannot be defended to a regulator or board, and compliance frameworks retrofitted after the fact. Against them the page sets three pillars and a loop of policy, execution and audit. Each action is logged with its rationale and governing policy, in records described as tamper resistant and immutable. The page also says every action is measured against benchmarks for accuracy, bias and outcome, and that accountability is structural rather than aspirational. It names no person or role accountable for model behavior and describes no testing before release. It gives no benchmark method or schedule and discloses no bias measurement result.

The LinkSquares buyer guide recommends quarterly AI governance reviews to monitor bias, validate accuracy and enforce compliance. It lists model governance covering audit trails, PII handling and zero retention options as things to expect from a vendor. That guidance is written for customers. For LinkAI itself, the published material says only that it is designed with enterprise level data security and governance built in. The vendor publishes no AI policy, model card, bias or fairness testing, evaluation method or result, accuracy monitoring, drift statement or named governance body. The company holds ISO 27001 but has no ISO 42001 certification.

The AI governance page describes TLS in transit and AES-256 at rest. Encryption keys are managed in Azure Key Vault, rotated regularly and reachable only through tightly controlled service accounts. The page also lists multifactor authentication, secure API gateways, network segmentation, real time monitoring and a documented incident response plan. Audit logs are described as comprehensive, tamper resistant and immutable. For outside assurance, the vendor says an independent Managed Security Service Provider audits it every year and that it is penetration tested regularly.

The vendor states that contract data is never shared with or used to train any third party LLM providers. It also says contract data and proprietary playbooks are completely isolated and never used to train public AI models, and that data stays completely private within the LinkSquares platform. Those statements cover the main risk for a contract lifecycle product, which is customer contract text reaching an outside model provider. Both are limited to third party and public models. Neither says LinkSquares does not use customer contract data to train or tune its own models inside its own platform. Data staying completely private within the platform is consistent with internal training rather than ruling it out. No retention position for AI processed content is published. The vendor's own buyer guide lists zero retention options as something to demand from a vendor, without saying whether this product offers one.

Section 16.5 of the Master Terms and Annexes sets a General Cap equal to fees paid or payable in the twelve months before the first incident. An Enhanced Cap of three times that applies to breaches of its security or data protection terms, meaning the security clause and the data processing addendum. Indemnities, intellectual property claims, breach of confidentiality and anything that cannot legally be limited are uncapped. Section 17.1 gives the customer an indemnity against third party intellectual property claims. Section 8.2 warrants that the service will perform materially as documented, with a thirty day fix period under 8.3 and termination with a refund if the fix fails. Annex A publishes uptime tiers of 99.00, 99.5 and 99.9 percent by support plan. A tier missed in three consecutive months, or in four months out of six, allows termination with a refund. Three limits apply. Breaches of confidentiality involving Customer Data fall outside the uncapped claim, so they stay capped and rise to the Enhanced Cap only where the security or data protection terms are also breached. The agreement gives no indemnity for AI output, such as inaccurate output, hallucination or training data provenance. Section 9.2 bars the customer from submitting Sensitive Data, including GDPR Article 9 categories, and the provider disclaims liability for it. These terms are version 3.0c. Version 4.0, dated 4 January 2026, changes only the trading name, according to the vendor.

LinkSquares publishes no terms page. Its enterprise agreements govern liability and are not public. Nothing published covers liability for AI output, warranties, service levels or remedies when an extraction is wrong, a clause is missed, or an agentic action moves forward a contract that should have been escalated. The vendor says the platform handles the bulk of standard contracts automatically. A missed auto renewal or liability cap in a signed agreement is a loss the customer finds later, and the vendor publishes no position on it.

Leah names its integrations and describes each by function. They cover ERP platforms including SAP and NetSuite, procurement systems including Coupa, financial systems, identity providers including Okta, and existing contract lifecycle tools. DocuSign and Adobe Sign are built in for signing, and a Microsoft Word add in handles redlining. The vendor also describes how the integrations work. It says Leah connects and executes rather than copying data passively, and carries out work across connected systems through the orchestration layer. Leah has a dedicated integrations page, but publishes nothing on what syncs in which direction or what a customer must configure. No document management integration such as iManage or NetDocuments appears, which fits a product built for in house teams rather than law firms.

LinkSquares integrates with Microsoft Word, Google Docs, Microsoft 365, Salesforce, Slack, DocuSign and HubSpot. Drafting runs natively in Word and Google Docs. The vendor says clause libraries and playbooks are available inside the drafting environment, so users do not switch tabs or upload files. The CRM and electronic signature connections cover the path to signature end to end. Independent review material says there is no generally available API for developers, which limits moving contract data into systems the vendor has no connector for. No document management system such as iManage or NetDocuments is named.

The standard deployment is shared. Single tenant deployment is available for customers with strict isolation requirements. The vendor also offers what it calls a dedicated zero trust private environment in Azure OpenAI Studio, described as fully isolating data from all other customers. Leah runs on Azure, with keys held in Azure Key Vault. On data residency the vendor says only that it supports the residency and regulatory needs typical of large multinational enterprises. It names no region or jurisdiction and describes no customer choice.

Independent review material says LinkSquares' data residency and retention controls are mature enough that a public company legal operations lead does not have to negotiate addenda. That is a practitioner's account, not vendor material. No vendor page names a hosting provider, lists regions, states a residency commitment or describes single tenant or private deployment options.

The AI governance page claims SOC 1 Type I and II, SOC 2 Type I and II, GDPR compliance, CCPA compliance, HIPAA readiness and ISO 27001 alignment. The home page FAQ, on the same site, says only that Leah is SOC 2 Type II certified, so the two pages disagree on what is held. For ISO 27001 and HIPAA the governance page says aligned and ready rather than certified. The auditor is described only as an independent Managed Security Service Provider, a category rather than a named firm. No coverage period, report date or audit scope is given. Penetration testing is said to be regular, with no partner named and no summary published. Leah has no trust center or portal, so there is no published route to request a report.

A dedicated security page, open without a login, states SOC 2 Type II and ISO 27001 alongside GDPR compliance and encryption of all contracts and data. Independent review material confirms both certifications and describes them as the two that clear most enterprise procurement checks. The page names no auditing firm for either. It gives no certificate date, examination period or expiry. LinkSquares publishes no trust center or route to request documentation, so there is no stated path to the reports themselves.

The DPA Setup Page lists four model providers against Leah Functionality, each noted as storing or retaining no customer data and each with named jurisdictions. Anthropic PBC is listed for the USA, Japan, and the EU or UK, and OpenAI LLC for the USA, Japan, and the EU or Switzerland. Cohere Inc. is listed for Canada, the USA, the EU or UK, and Japan. Google AI/ML with Google Cloud is listed for the USA, Japan, and the EU, Switzerland or UK. Microsoft Azure Services is listed for hosting and translation, and the private deployment option runs in Azure OpenAI Studio. DPA clause 4.3 requires any new subprocessor to be added to the published list with at least thirty days' notice before it processes customer personal data. Clause 4.4 gives a thirty day objection right on reasonable data protection grounds. If the objection is not resolved, the affected order can be terminated with a refund of prepaid unused fees. No model or version is named for any provider. The platform is described as choosing among several language models for each task and letting customers extend or customize models. Nothing published shows which provider handled a given piece of work.

LinkSquares commits that contract data is never shared with third party LLM providers, which implies such providers are part of the architecture. It names none of them. It publishes no provider, model family or version and no subprocessor list. Nor does it say what runs on its own infrastructure and what runs on an external model. The product was rebuilt on an agentic architecture, and no published material identifies the models underneath it.

Leah publishes no pricing at any level, including the unit of charge. The primary navigation covers platform, solutions, resources and company, and neither it nor the footer sitemap has a pricing page. There is no tier structure, no unit per seat, contract or agent, no volume banding and no indication of what implementation adds. Every call to action across the site is to request a demo. An implementation FAQ says timelines vary with scope and integrations and that a detailed plan is built during evaluation. It says nothing about cost. No published page gives a view of price before a sales process.

LinkSquares publishes no price, range, tier structure or unit of charge. Its own buyer guidance tells readers to compare user based, usage based and record based pricing models without saying which one LinkSquares uses. A third party estimate puts the median at around $31,000 a year, with a starter tier near $10,000 and enterprise above $75,000. Those figures are independent estimates, not vendor disclosure. If the estimate is accurate, the product is out of reach for small teams.

Leah publishes dedicated industry pages for CPG and manufacturing, energy and utilities, financial services, healthcare, and pharma and medical devices. It describes its customers as Fortune 500 enterprises in regulated industries. By function it publishes pages for legal leadership, legal operations, sales and revenue, procurement, and finance. The pages carry distinct propositions written for the General Counsel, the contract operations team, the Chief Procurement Officer and the finance leader. The customer roster spans banking, airlines, pharmaceuticals, consumer goods and engineering. No published page says which practice areas, contract types or matters the platform does not support, and none addresses smaller organizations. Law firms appear only indirectly, through managed service partners, rather than as a served segment.

LinkSquares describes its coverage by clause and lifecycle scope rather than by jurisdiction. The named terms are payment deadlines, governing law, liability clauses, renewal language and commercial obligations. Batch analysis runs across large legacy portfolios for M&A due diligence and repository audits. The lifecycle runs from before signature to after it in one platform. Users extend beyond legal to sales, procurement, finance, HR and marketing. The vendor states more than 1,200 customers in the in house market. It publishes no list of supported contract types or languages and no indication of extraction depth by agreement type. Governing law extraction is a named capability, but no jurisdictional scope is given for it. Independent review notes there is no primary law research capability, which is typical of the product category.