Conga CLM vs Lexagle: how they compare in 2026

AiMe is a shared AI layer across the commercial suite. It connects workflow data across CPQ, CLM, price optimization and document automation and suggests next steps, rather than being the CLM itself. Underneath sits a full contract lifecycle platform that long predates it, with template and clause library generation, approval routing, negotiation, electronic signature through Conga Sign, a searchable repository, obligation and renewal tracking, and reporting. The models drive core features on top of that platform. Without AiMe a working CLM remains, as the edition built on Salesforce was for years. Recent releases push AI further in. The June 2026 release extends AI across the platform, including bulk import and extraction for incoming contracts. The March 2026 AiMe release adds agents that act inside quoting and contracting workflows. Conga still sells and prices the platform as a contract system with intelligence on top.

Lexagle combines a conventional contract workspace with Lexie and Document Guard. Lexie drafts from approved templates, proposes clauses, extracts metadata and answers questions about agreements. Document Guard inspects clauses against a company's playbook and uses the result to permit signing, route a partial match to a person or block an unacceptable contract. It also requires another review when a protected version changes. These functions make AI part of the contract approval process, beyond a separate writing assistant. Templates, collaboration rooms, signatures and the repository still have value without those models, so the wider platform does not depend entirely on AI.

The AI pipeline divides document processing among specialized providers. Google Cloud Vision handles optical character recognition, Amazon Textract table detection, Zuva provision extraction and Azure OpenAI language processing. Output is grounded in the customer's own repository, playbook and clause library, and extraction needs no model training by the customer. AiMe shows how every recommendation is generated, with the reasoning visible and confidence scores wherever it makes a suggestion. The Artificial Intelligence Addendum addresses accuracy only through a disclaimer. It states that outputs may be inaccurate, incomplete or misleading and disclaims any warranty of accuracy or completeness. No accuracy figure, test set, error rate or benchmark result is available. Third party models undergo benchmarking before release, without disclosed results. The product cites no legal authority, so grounding in authority and citator checks do not apply.

Document Guard compares agreement language with customer rules, highlights risky provisions and explains why a clause was flagged. The user can inspect the contract and the applicable playbook. Lexie also answers questions using the organization's contracts and institutional information. Lexagle promises consistent assessments through low temperature settings and fixed response parameters, but does not provide a reproducible accuracy test, error breakdown or hallucination rate. A claim of complete playbook alignment is not accompanied by test conditions. The material does not establish that every generated answer carries a link to its supporting passage or that suggested legal language has been independently validated.

Conga states that AiMe never acts autonomously on high stakes decisions. Three mechanisms constrain it, agent guardrails, approval thresholds and human in the loop confirmation, and each can be built into a workflow. AiMe shows how every recommendation is generated and the reasoning behind AI driven actions. Confidence scores appear wherever it makes a suggestion, users accept or reject redlines, and every action and approval is kept in an audit trail. Much of the oversight model is written into the contract. The Artificial Intelligence Addendum makes the customer solely responsible for evaluating and validating outputs. It says the customer must not rely on AI outputs as the sole basis for any decision with legal, financial, regulatory or other material impact. It also requires human review and independent judgment, and puts authorizing and supervising agent actions on the customer. The guardrails and thresholds are described as configurable rather than as defaults, and the same document states that Conga does not monitor or review AI generated outputs.

Document Guard has an explicit three state control scheme. A compliant agreement can proceed directly to signing, a partially compliant agreement is diverted for human review, and a noncompliant agreement is blocked or escalated. Legal teams define the rules in plain English, including payment, liability and jurisdiction requirements. Routing is driven by AI extracted information rather than a person selecting every action. A digital seal ties the compliance result to a particular version; external edits or a replacement upload trigger lockdown and another AI evaluation. This explains both the permitted unattended action and the circumstances requiring intervention, although it does not establish error rates.

Cotality, formerly CoreLogic, describes improving client service with Conga CLM in a September 2024 customer story without a quantified outcome. Two other dated stories, DigiKey on price management and Kalixia at 160 times faster document generation, concern other Conga products. Other named customers include Southwest Airlines, LinkedIn, AXA, Peloton, Cotality, T-Mobile, Adobe, Box and Kraft Heinz. The headline improvement figures are separate from those named customers. A 9 percent revenue increase appears beside the logo strip with no stated basis, and Conga claims 50 percent less review time with AI. Conga also cites G2 Leader recognition across five grids.

Yamaha Motor Philippines is a named customer describing improved contract visibility, approvals and signing. Lexagle also describes deployments for a global financial institution, a property developer and a state lottery, but those organizations are unnamed. Its promotional results include shorter contract cycles, reduced administrative work and a high satisfaction percentage. Those figures do not share a published sampling method or an independently reproducible baseline. The Document Guard testimonials identify job titles and sectors without customer names. There is therefore support for operational use of the broader platform, while the measured accuracy and incremental benefit of its current AI gatekeeper remain uncertain.

Under the Artificial Intelligence Addendum, Conga will not use AI Inputs or AI Outputs to train or improve any model beyond a limited license to provide, maintain or improve the Services for that customer. Customer Data will not train global or foundational models serving multiple customers, and no third party may use Customer Data or AI Output to train, fine tune, validate, test or develop any model. Tenants are logically separated with dedicated encryption keys. The Data Processing Addendum limits retention to the time absolutely necessary and requires return and deletion at the customer's election after the agreement ends. Prompts, completions, embeddings and training data sent to Azure OpenAI are not available to OpenAI and are not used to improve OpenAI, Microsoft or third party products. Each document processing provider works under a zero retention arrangement. Conga sells the product to legal departments to hold their agreements, and its addenda, trust center and product pages do not address attorney client privilege or work product. Separate contractual conditions sit in Conga's Master Services Agreement.

Lexagle describes separate customer datastores, application controls that prevent access across customers and tests that block a release if separation fails. Administrators can assign permissions for individual platform components, and internal collaboration rooms separate private discussion from counterparty work. Its displayed service terms also impose confidentiality obligations, but permit analysis of customer information to improve services and expressly allow certain aggregated or nonidentifying data to train machine learning. That permission matters for confidential contracts even when natural persons cannot be identified. No attorney client privilege preservation undertaking or detailed explanation of how legal matter restrictions apply to AI answers is provided.

Conga's position on advice versus tooling sits in the Artificial Intelligence Addendum. The Addendum states that AI generated outputs may be inaccurate, incomplete or misleading, disclaims any warranty of fitness, and makes the customer solely responsible for validating outputs before use. It says the customer must not rely on AI outputs as the sole basis for any decision with legal, financial, regulatory or other material impact, and that human review and independent judgment should be exercised. It applies the same rule to agents, making the customer responsible for deciding whether agent actions are appropriate and for authorizing and supervising them. Legal, sales and procurement teams use the application as a contracting tool. The service does not specify how a supervising lawyer meets competence or oversight duties over AI drafted contract language. Capability restrictions by buyer group and jurisdictional limits are not specified. The product is marketed to sales and procurement users who generate contract positions in the same tenant as legal.

The service terms expressly state that Lexagle is not a law firm, does not provide legal advice and does not create a lawyer client relationship. They also state that it carries no professional indemnity insurance and leave legal suitability and conclusions with the customer. Document Guard can apply a legal team's playbook, but passing its rules does not establish the legal effect of an agreement. The product is promoted to law firm partners and associates as well as corporate teams, while the displayed terms restrict third party service provision. That unresolved scope difference matters before using it for external client work.

Conga's AI governance framework sits in the Artificial Intelligence Addendum rather than on a principles page. The Addendum records a cross functional AI Governance Committee responsible for oversight of AI within the Services. The committee focuses on risk management, accountability and compliance, and periodically reviews AI risks, controls and mitigations. Conga commits to internal policies on responsible AI covering oversight of training data, bias mitigation and human interpretability, to staff training, and to full cooperation with a customer's own AI impact assessments. Governance is tied to the NIST AI Risk Management Framework and its four functions, Govern, Map, Measure and Manage. The vendor classifies its products as minimal or limited risk AI systems under the EU AI Act. It states that third party models are tested, audited for bias and benchmarked before release, with rollback to any prior model version within hours. Results from that testing, bias audit findings, evaluation outputs and model cards are not available, including performance differences across contract types.

Lexagle describes client defined rules, low temperature model settings and automated checks on software access controls. These explain parts of application behavior, but not a company program for governing AI development and release. There is no named AI risk owner, published bias evaluation, testing across languages or report of recurring model failures and corrective action. The platform's regional compliance claims and security certifications address other responsibilities. Legal teams can control the standards used to approve their own contracts, yet the vendor does not explain how it assesses systematic errors in the underlying models or decides when a changed model is ready for use.

The Data Processing Addendum says retention of personal data should generally not be required and is limited to the time absolutely necessary to perform the Services. Daily backups are kept for thirty days, and each third party document processing provider works under a stated zero retention arrangement. Data is returned or deleted at the customer's election within a reasonable period after the agreement ends, and the CCPA attachment requires prompt compliance with deletion requests. Access controls include role based authorization, least privilege, quarterly access reviews, multifactor authentication, encryption at rest, TLS of 256 bits or stronger in transit, and per tenant encryption keys. The subprocessor terms provide fifteen days' notice before additions, a right to object with termination and refund, and Conga's responsibility for provider acts. Incident notice comes within 48 hours of Conga becoming aware, backed by a response plan with root cause analysis and a 24/7 security team.

The security policy describes encryption in storage and transit, isolated customer datastores, component permissions and an incident process with prompt written notice once a breach affecting customer data is verified. The privacy notice names several service providers and describes retention for account operation, legal requirements and other stated purposes. It promises deletion or anonymization once information is no longer needed, without a complete schedule for contract content, AI prompts, outputs and backups. The service terms separately permit some improvement and machine learning uses after the subscription ends. This provides several concrete controls, while leaving the full AI data lifecycle and model processor arrangements incomplete.

The Artificial Intelligence Addendum states that Conga makes no warranty, express or implied, on the accuracy, completeness, noninfringement or fitness for purpose of AI generated output. The customer is solely responsible for evaluating and validating that output. To the maximum extent permitted by law, Conga is not liable for any losses, damages or claims arising from the customer's use of or reliance on AI output or on actions by agentic AI features. That includes third party claims. One allocation runs the other way. The Data Processing Addendum makes Conga liable for its subprocessors' acts and omissions as if it had performed the services itself, and much of the AI pipeline sits with those third parties. The addenda do not state a general liability cap, an indemnity scope or an insurance position. Conga's Master Services Agreement is a separate document.

Lexagle undertakes to defend customers against specified infringement claims concerning the service, including Singapore patent, copyright, trademark, database and confidentiality rights. That is an ordinary service indemnity, with procedural conditions and an exclusive remedy provision; it does not expressly cover fabricated legal analysis or defective AI drafting. The displayed terms disclaim legal suitability and accuracy, assign responsibility for conclusions to the customer and exclude consequential losses. They also state that Lexagle has no professional indemnity insurance. The combination provides some recourse for a defined class of service claims, without an affirmative warranty or specific remedy for an AI generated clause that causes loss.

Several of Conga CLM's integrations are structural. One edition runs natively on Salesforce and is listed on the Salesforce AppExchange. Authoring and review run inside Microsoft Word and Google Docs, and Microsoft Dynamics is named on the product page. The platform edition supports connections to CRM, ERP and procurement systems. Within Conga's own products, pricing, terms and configurations flow from CPQ into a contract. Documents are generated through Composer and signed through Conga Sign, and price optimization feeds contract pricing. Developer resources cover APIs and integrations. Field mapping and sync directions for individual external connectors are not specified alongside the broader connections.

Lexagle supports single sign on through Microsoft Azure and offers APIs for connecting contract information with existing business systems. Its service terms describe optional transfers of completed contracts to Google Drive and individual PDF downloads. Collaboration rooms keep internal discussion separate from external negotiation, while the repository supplies contract data for reminders and other workflows. The vendor also describes Oracle connectivity and transfers to ERP systems. These are identifiable connection and transfer functions, although the published material does not provide a complete implementation account covering field mappings, permission inheritance, synchronization failures and conflict handling across those systems. Custom integration scope is settled during the commercial discussion.

The CLM has two delivery forms. One is the original application built on Salesforce. The other is a software as a service edition on the Conga Advantage Platform that gives buyers a CLM interface independent of Salesforce. The Data Processing Addendum treats them differently. It states that Conga does not back up customer data for services hosted on Salesforce and sets no recovery point objective for them. Elsewhere it keeps daily backups for thirty days, with a one hour recovery point objective and a twenty four hour recovery time objective. Infrastructure is named as Salesforce, Amazon Web Services and Azure, with data on servers managed by Salesforce and AWS. Each logical tenant boundary has its own encryption key. Availability is described as spanning the United States, the European Union and Asia Pacific with residency options included, which names continents rather than regions. A region list, the method of choosing a tenant's region and separate processing locations are not specified. Content reaches Azure OpenAI, Google Cloud Vision, Amazon Textract and Zuva, and the processing locations are not specified.

Lexagle's security policy places its hosted service and customer data on AWS in Singapore. The displayed service terms nevertheless allow personal data to be transferred or stored outside Singapore, and the privacy notice also contemplates processing at partner facilities. A newer product article describes Lexie processing as resident with the client, with no client data sent to Lexagle servers or third parties. It does not explain how that arrangement relates to the hosted platform or which product configurations receive it. Customers therefore have several location statements, but no single published architecture that resolves storage, inference, remote access and the available deployment choices.

SOC 2 Type II covers the full platform under annual audits, according to Conga. The trust center also lists ISO 27001, ISO 27701 as its privacy extension, PCI DSS, HIPAA Security with annual audits, GDPR and CCPA. It adds alignment to the NIST AI Risk Management Framework and certification under the EU-U.S. Data Privacy Framework. The Data Processing Addendum links that certification to the Department of Commerce register. The security program includes annual third party penetration testing, application vulnerability assessment twice a year, continuous automated threat hunting and code analysis before release. It also covers a patching service level by severity, background checks, annual security training and a vulnerability disclosure program. Auditor names, report periods, observation windows and certificate numbers are not available alongside those claims, and reports require a request. The Data Processing Addendum makes reports available on a customer's request under confidentiality, so a prospective buyer cannot read the audit scope before signing.

Lexagle names ISO 27001:2022, SOC 2 Type I and Type II, and CSA STAR Level 2 among its security credentials. Its security policy adds details about encryption, deployment tests, access controls, incident response and AWS hosting. Those statements are more specific than a generic promise of secure contracts. The public materials do not supply the audit period, named assessor or complete reports establishing which services and AI components were covered. Separate claims of alignment with other industry and regulatory frameworks should not be treated as additional certifications. The credentials concern information security controls rather than the legal accuracy of generated contract language.

Generative features run on Microsoft Azure OpenAI. The document processing agents also use Google Cloud Vision for optical character recognition, Amazon Textract for table detection and Zuva for provision extraction, each under a stated zero retention arrangement. The Azure OpenAI Service is described as fully controlled by Microsoft, hosted in Microsoft's own Azure environment and not interacting with any system operated by OpenAI. Prompts, completions, embeddings and training data are tokenized in transit, are not available to OpenAI, and are not used to improve OpenAI, Microsoft or third party models. Change notice is contractual. The AI providers are subprocessors, and the Data Processing Addendum gives fifteen days' notice before a new one is appointed, with its name, location and activity. It also gives a right to object, and termination with a refund if no workaround exists. No specific model is named. The Addendum refers to Azure OpenAI GPT, which is a family rather than a version, and nothing states which model writes a summary or a redline or when that changes.

Lexie is described as Lexagle's proprietary legal AI engine, trained on client specific contracts, approval knowledge and other institutional information. Document Guard adds low temperature settings, fixed response parameters and customer playbook context. These details identify the intended behavior and some training inputs, but not a foundation model family, inference provider or complete chain of model subprocessors. AWS hosting alone does not establish which model performs a review. There is also no published procedure for notifying customers before a model supplier or model version changes. The branded engine name consequently offers limited visibility into the technology handling confidential legal content.

Conga CLM uses custom quotes without a numeric starting rate, a defined billing unit or a plan table. The application combines drafting, negotiation, approvals, electronic signature, contract storage and obligation management, with AI review and extraction inside that workflow. Additional products connect CPQ, document generation and signing to the wider suite. An advanced CLM feature set includes clause libraries, version control and redlining, but its incremental charge is not specified. Subscription duration, renewal provisions, price increase limits and implementation fees are not given with the quote request. The Master Services Agreement is separate from the AI and data processing addenda.

Lexagle prices a selected combination of modules after a discussion of business workflows, localization needs and implementation scale. Its menu includes contract management, signing, document management, vendor management and intellectual property management. The resulting package is customized, with no published entry amount, standard user allowance, contract volume unit or AI consumption rate. The acceptable use policy allows extra charges or restricted capacity for excessive usage, but supplies no numerical boundary. Implementation fees and a separate price for Document Guard are also unspecified. A proposal must therefore establish both the functional scope and the cost of growth before a buyer can estimate ongoing spend.

Legal, procurement, sales, finance, IT, business operations and pricing teams use the suite. Their CLM tasks differ. Legal gets workflow, authoring, AI review and redlining, compliance and risk management. Procurement gets obligation management, AI extracted terms and pricing. Sales gets generation, AI assisted negotiation and renewals. Industry uses cover technology, financial services, healthcare, life sciences, manufacturing, transport and logistics, and distribution. Named customers span airlines, insurance, media, retail and property data. No practice area inside a legal department is named as supported or unsupported, and nothing states what the product is not for. Capability restrictions for users who are not lawyers are not specified inside a shared tenant. Jurisdiction and language coverage boundaries are also unspecified, although the product is localized into German and French.

Lexagle serves legal, sales, procurement and HR teams, with industry examples in banking, telecommunications, manufacturing, property and other sectors. Its headquarters and regional focus are in Singapore, and it describes customers across Asia Pacific and other markets. Document Guard is also promoted to law firm partners, associates, legal operations and compliance professionals. Malaysian contract and digital signature laws receive explicit attention in the product explanation. Broader claims of multilingual and jurisdictional adaptability do not include a tested coverage matrix or exclusions for particular legal tasks. The displayed restriction on providing services to third parties also needs reconciliation with the law firm audience.