Aline vs Concord: how they compare in 2026
Aline and Concord both sell contract lifecycle management with AI built in, and both publish their prices and bar training on customer data in their terms. They are evenly matched, so the choice comes down to who runs your contracts. Aline writes AI use rules into its terms, including no automated decisions with legal effects without human review. It also documents its Salesforce package in depth. Concord goes further on data stewardship. It publishes a subprocessor list with each provider's function and location, lets customers keep data in the United States or Europe, caps debug data retention at six months, and states zero data retention for its AI provider. The buyers differ too. Aline is built for in house legal teams of two to five people, while Concord is built for the sales, procurement and finance teams that run contracts without legal. Both market to people who are not lawyers.
Which one fits
Choose Aline if
- You are a legal team of two to five at a company of 100 to 1,000 people. Aline is built for that size, drafts agreements, memos and policies from your clause library, redlines third party paper against playbooks built from your templates, and lets sales launch agreements inside guardrails legal sets.
- You need the Salesforce connection documented before you commit. Aline's help center sets out the managed package install, the permission set, OAuth pairing with a signing key, which Opportunity and Account fields flow into documents, and named failure cases, and it maps HubSpot fields the same way.
- You want AI use rules and model providers in the contract. Aline's terms bar training on inputs and outputs, bar automated decisions with legal effects without adequate human review, and name OpenAI and Anthropic as providers. Its site adds Google Gemini, picked per task.
Choose Concord if
- Your sales, procurement and finance teams run contracts without legal in the loop. Concord gives them intake forms and legal approved templates, an AI Copilot that answers contract questions and suggests edits, and extraction with notes explaining how each value was found.
- You need to choose where data sits and see who processes it. Concord stores data in AWS regions in the United States or Europe, publishes a subprocessor list naming OpenAI, Google and LangSmith for AI with each one's location, and states zero data retention for its AI provider.
- You want a team price and room to connect your own AI. Concord publishes plans at $499, $899 and $1,299 a month for five users, billed annually, caps renewal increases at five percent, and offers a REST API and MCP connections for ChatGPT and Claude.
At a glance
All 15 axes, side by side
The same grid applied to every vendor in the index, graded from public sources. Hover a grade to see what the letter means on that axis.
AI Centrality
How much of the product is actually AI. Whether the machine learning is the mechanism the buyer is paying for or a feature layered onto conventional software, and whether the vendor is specific about which is which.
Aline's AI drafts agreements and memos from a team's clause library, redlines third party paper against playbooks generated from the team's templates, answers questions about one contract or thousands, and extracts terms from the repository without tagging. The vendor itself says the contract infrastructure came first and the AI layer was added to a system that already understood the documents. Approval and intake workflows, native electronic signature through AlineSign, a document repository and sync with file storage all function without the models.
Concord's AI extracts contract terms, answers questions about agreements and proposes wording changes in its Copilot. Horizon adds custom extraction agents that populate properties across both existing agreements and future uploads within a chosen scope. Those properties can feed reports and workflow conditions, making the models part of ongoing contract operations. The platform also retains drafting, approval routing, electronic signatures, version control and renewal reminders that function independently of AI. Its value therefore extends beyond the models, while the extraction and conversational tools form a central capability rather than an isolated writing feature. Access to Horizon matters when evaluating the agent functionality.
Citation Accuracy and Hallucination Disclosure
Whether the vendor publishes measured accuracy on citations and assertions, grounds output to primary sources, and says plainly what its system does when it does not know. Legal has a documented public record of fabricated citations reaching filed briefs, so an untested claim of accuracy is not evidence.
Aline's Legal AI page says every output cites the clause, source or precedent it came from, and that research answers are grounded in the customer's contracts, statutes and approved legal sources and never a hallucinated case. It also says the product reads whole contracts rather than a slice. None of this is measured. No accuracy figure, test set or evaluation is published, no failure mode is named, the approved legal sources are not identified, and nothing describes what the system does when it cannot support an answer. Section 9(d) of the published terms states that outputs are not tested, verified, endorsed or guaranteed to be accurate and makes customers responsible for checking all outputs themselves.
Explanatory notes accompany AI extracted properties so a reviewer can understand how a value was identified. The agent builder also lets users test extraction on sample agreements before activation. These are useful review aids, but Concord describes no linked support for every generated legal assertion and no reproducible accuracy benchmark. The service terms expressly acknowledge hallucinations and require customers to evaluate outputs, including human review. A separate ethics statement recognizes incorrect, biased and misleading responses. Explanations of extracted values consequently support inspection without establishing that suggested clauses or answers have been validated against authoritative legal sources.
Autonomy and Oversight Model
What the system decides on its own, what a lawyer must approve, and whether the vendor documents where the review point sits. A tool that drafts under review and a tool that files without one are different products and different risks.
Final calls and the read on a deal stay with in house counsel, Aline's about page states, while legal sets the playbook and everyone else works inside it. The product routes contracts for approval on triggers such as value, department or risk at clause level, and keeps an audit trail of decisions. Redlines are proposed against playbooks for a lawyer to accept. The terms require customers to verify all outputs and bar using the AI for automated decisions with legal or similarly significant effects without adequate human review. No threshold or categorical limit applies to a named mode: sales users can launch agreements without legal inside the guardrails, and nothing states which outputs may go out without a lawyer's review.
Customers build extraction agents by describing a desired property, reviewing the definition and testing it on up to ten sample agreements. They can limit deployment by folder, dates, creator, amount or other properties. Once activated, an agent processes future agreements in scope, with a separate action for existing agreements, and respects existing access permissions. Results include explanations for review. The terms require human evaluation of output, while later releases allow properties to drive workflow events. The published account does not fully define which consequential downstream actions require approval or how uncertain extraction returns to a person, leaving those controls partly specified.
Operational and Outcome Evidence
Named, dated evidence that the product works in production at real firms or legal departments. Case studies with figures and identified customers count. Unattributed testimonials and launch announcements do not.
The site attributes results to named people at named companies. Xevant's senior legal director says a mutual NDA redline fell from up to 45 minutes to under two, and a PharmaCann attorney says the first pass of a 50 page commercial agreement takes 15 minutes. Testimonials name Muon Space, Telly, 7th Level, Bison Transport and DailyPay, with a linked 7th Level case study. The about page adds aggregate figures: 95 percent faster review, $40,000 a year in outside counsel spend saved and 8,400 contracts analyzed by one team, and 2,000 users across more than 100 companies. None of the figures states how it was measured or over what period, so they are testimonial figures rather than measured outcomes.
Customers and individual users are identified across several industries. PAAY describes importing files through Google Drive and extracting their data; Vecna Robotics describes avoiding missed dates and transposed numbers; and LeoVegas describes reviewing governing law and renewal information across its portfolio. Navarino also describes transferring completed agreements to SharePoint through Zapier. These accounts establish practical use beyond a list of logos. Broad claims about hours saved and reduced contract delays do not include a common baseline, sample definition or independent measurement method. They should not be read as a measured accuracy result for the newer custom extraction agents or every Copilot task.
Privilege and Confidentiality Posture
How client confidences are handled: attorney client privilege and work product treatment, segregation of one client matter from another, whether client data trains any model, and what the vendor commits to in writing rather than in marketing.
Section 9 of the Terms of Service states that Aline shall not use inputs or outputs to train its AI features, names OpenAI and Anthropic as the providers behind them, and leaves intellectual property in inputs with the customer. The security page adds that agreements with the model providers legally prevent training on customer data. The agreement has no general confidentiality clause protecting customer contracts. The privacy policy permits use of aggregated or deidentified information for any purpose and archiving after removal. Privilege and work product are not addressed, and the only separation statement is that requests run inside the customer's secure contract environment. Section 1 states that no attorney client relationship or privilege is created with Aline, which concerns Aline's own role rather than the customer's privilege.
Customer data is confidential information under Concord's commercial agreement, with access restricted to personnel who need it and obligations before compelled disclosure. The agreement gives Concord broad rights to maintain and improve the service, but expressly prohibits using customer data or the customer's specific output to train its AI models. Administrators control roles, contract access and sharing permissions. The extraction agent explanation also states that inaccessible agreements are not processed or revealed to the user. These controls address access and model use directly, although no distinct attorney client privilege undertaking or professional work product framework is provided for law firm matters.
UPL and Professional Responsibility Posture
Whether the vendor is clear that it supplies a tool rather than legal advice, who its audience is, and how it addresses unauthorized practice of law, competence and supervision duties, and jurisdiction limits. ABA Formal Opinion 512 is the reference point. Where the advice line is not the duty a product raises, the axis is read through the nearest professional duty it does raise: judicial conduct rules and the reviewing duty for products sold only to courts, and the duty to bill for time actually spent for products that draft time entries.
Section 1 of the terms states that Aline is not a law firm or an attorney, nothing on the service is legal advice, no attorney client relationship is created, and anyone needing legal advice should consult a licensed attorney. The product is sold to sales, procurement, finance and founders as well as lawyers. The home page promises accurate documents drafted without expensive counsel, and according to the FAQ, business users can launch agreements without deep legal expertise. Legal sets the playbook and others work inside it. Nothing addresses supervision or competence duties for the lawyers who set it, and no jurisdiction limit is stated.
Concord requires customers to evaluate the accuracy of AI output with human review and acknowledges that it may contain hallucinations. Its ethics principles treat AI as assistance to people and warn against entering sensitive information unrelated to the contract being handled. The product is nevertheless promoted to business teams that manage agreements without routinely involving legal counsel, and Copilot can explain risks and suggest changes. The commercial agreement does not expressly disclaim the provision of legal advice or map those tasks to a lawyer's professional duties. Approval workflows provide organizational controls without a published jurisdiction specific framework for legal supervision.
AI Governance and Bias Disclosure
Published governance over model behavior: who owns it inside the vendor, what is tested before release, and what is disclosed about disparate output across matter types, parties, or populations.
Section 9(f) of the terms prohibits using the AI for automated decisions with legal or similarly significant effects on individuals without adequate human review, for discriminatory or harmful purposes, or to represent output as vetted by Aline or as wholly human generated. The about page publishes principles, including that judgment stays human and that claims should be earned. No one inside Aline is named as accountable for model behavior, nothing describes testing before release, and nothing is disclosed about uneven output.
The AI principles cover privacy, human accountability, bias mitigation and transparency. Product and engineering teams are to receive education on fairness, with training scenarios intended to represent different industries and legal frameworks. The company also promises indications when an automated system is being used and acknowledges potentially biased responses. These commitments identify concerns and broad practices, but not a named accountable risk owner, release criteria, published bias test or results across contract types and languages. Customer feedback is part of the stated improvement process. The available account remains a principles statement rather than a verifiable program of model evaluation and oversight.
AI Safety and Data Stewardship
Retention, deletion, access control, and what happens to prompts and documents after they are processed. Whether the vendor states its subprocessors and its incident practice, or leaves the buyer to assume.
Data is encrypted in transit and at rest, according to Aline's security page, which also lists regular penetration testing, single sign on through Microsoft Entra and Okta, and hosting on AWS in the United States. The pricing FAQ says customers own their data, can download it at any time, and have a grace period after canceling before it is removed. The privacy policy, last revised in November 2023, retains information as long as needed and permits keeping data in archives after removal from the service. It names AWS, Sendgrid and Stripe among providers without a full list and states no incident notification commitment. Nothing addresses how long prompts and outputs are kept.
Concord specifies encryption in storage and transit, restricted employee access, customer roles, multifactor authentication, daily encrypted backups and external penetration testing twice a year. Its model provider is described as bound to zero data retention, and named subprocessors have listed processing locations. The privacy policy caps debug data at six months, allows indefinite anonymized analytics and offers a data copy on request within thirty days of termination. Commercial terms require return or destruction of confidential information when the subscription ends. Precise backup removal and prompt schedules remain incomplete, and the incident policy does not state a customer notification deadline.
AI Liability and Recourse
What the vendor stands behind contractually when its output is wrong. Indemnities, caps, carve outs, insurance, and whether any of it is published or only reachable through a negotiated agreement.
Section 14 of the terms gives a vendor indemnity against third party claims that the service infringes intellectual property, with modify, license or refund remedies and stated exclusions. Section 15 caps Aline's liability at fees paid in the prior twelve months and excludes indirect damages for both parties. Section 9 then excludes infringement claims arising from outputs, states that outputs are not tested or guaranteed accurate, and applies the service disclaimers to the AI features. No insurance position is published.
The commercial agreement provides an ordinary intellectual property indemnity for the system and caps aggregate liability at fees paid in the preceding twelve months. It also warrants material conformity with service documentation. However, the AI disclaimer expressly excludes liability for damages resulting from or relating to output and warns that output may be inaccurate or hallucinated. The customer indemnity separately includes claims arising from use of generated content. Those provisions leave no affirmative protection for the legal correctness of an AI clause or contract analysis. The general service indemnity should therefore not be treated as a specific remedy for an AI error.
Practice Systems Integration Depth
How deeply the product reaches into the systems legal work already lives in: document management such as iManage and NetDocuments, Word and Outlook, contract lifecycle management, matter management, e-billing, and court filing systems.
Aline's public help center has a Salesforce managed package guide that sets out who installs what, the install scopes and the Aline Admin permission set. It covers OAuth pairing, in which Aline writes a signing key into the Salesforce org and signs every request with it, and revocation on disconnect. It lists which Opportunity, Account and Owner fields flow into documents, how editable and read only fields behave at launch, and an error log tab with named failure cases. A companion article documents mapping CRM fields from Salesforce or HubSpot into template fields, with override at launch. The pricing and product pages name sync with Google Drive, Dropbox, Box, OneDrive and SharePoint, CRM integrations with Salesforce, HubSpot, Pipedrive and Close, approval notifications in Slack, and single sign on through Microsoft Entra and Okta. The storage sync is not documented to the same depth. No document management system used by law departments, such as iManage or NetDocuments, is named.
The Salesforce guide explains installation, account connection, Opportunity layout changes, template selection and fields sent from account, opportunity, contact and product objects. Agreements can be generated from Salesforce and populated with its data, with synchronization in both directions. Administrators also set the maximum sharing rights available for templates and uploaded files. This is a concrete implementation path rather than a connector logo. Other integrations include storage services, calendars, a Word plugin, Zapier, APIs and MCP access through Claude or ChatGPT. Those connections have different plan requirements, with the Salesforce workflow available on Business and Enterprise and the open API listed on Enterprise.
Deployment Model and Data Residency
Where the software runs and where the data sits. Multi tenant cloud, single tenant, private deployment, on premises, and whether region of residence is a published option or an enterprise conversation.
The service runs on AWS in the United States, Aline's security FAQ states, and the terms and privacy policy confirm storage and processing in the United States, while also reserving processing in any country where Aline maintains facilities. No single tenant or private deployment is offered and no other region is available; Aline describes neither its tenancy model nor a separate processing location for calls to the model providers.
Storage choices in the United States and Europe come with Concord's hosted service. Its subprocessor list places AWS hosting in the EU for European customers and North America for North American customers. The same list places OpenAI extraction in North America and Google model tooling and OCR in North America and the EU. Choosing a storage region consequently does not keep every AI processing step inside it. No private deployment or complete tenancy description is provided. The privacy policy also permits international transfers under stated safeguards, so regional processing requirements need to be matched to the selected features.
Security Certifications and Trust Center
Independent attestation a buyer can pull without a sales call: SOC 2, ISO 27001, penetration test summaries, a trust center with current reports and named scope rather than a badge image.
SOC 2 Type II certification and regular penetration testing are both claimed on Aline's security page. No auditor, report period or scope is given, no trust center exists, and no route to obtain the report is described beyond contacting the team. The same page describes Aline as GDPR certified, though GDPR offers no such certification, and the pricing FAQ calls the SOC 2 claim compliant.
Through its Conveyor portal, Concord offers a SOC 2 Type II report and states participation in the Cloud Security Alliance STAR Level One program. The latter is a self assessment rather than an independent audit. It also states certification under the Data Privacy Framework and its British and Swiss extensions. Separate references to AWS certifications describe infrastructure assurance and should not all be attributed to Concord itself. The public security explanation does not identify the SOC auditor, examination period or full service scope. Encryption, penetration testing and incident procedures provide additional operational detail without establishing the quality of AI contract interpretation.
Model Supply Chain Disclosure
Which models sit underneath, whose they are, where they run, and whether the vendor commits to telling customers when that changes. A legal buyer inherits every dependency it cannot see.
Section 9(e) of the Terms of Service names OpenAI and Anthropic as the providers behind the AI features, and the home and about pages say the product runs on Anthropic Claude, OpenAI and Google Gemini, picked per task. The contractual list, last revised in November 2023, no longer matches the site, which adds Google. No model version is given, and the terms reserve the right to modify the service without notice, so there is no commitment to tell customers when a provider changes.
OpenAI is named as a provider for AI based extraction, Google for model tooling and OCR, and LangSmith for model tooling. The subprocessor list supplies processing locations and transfer mechanisms for those services, alongside AWS hosting and other operational suppliers. Concord also says its AI provider has agreed to zero data retention. The disclosure does not identify every model version or explain which provider handles each Copilot and agent operation. There is no public commitment to advance notice before a model version or supplier changes. Buyers can therefore identify important suppliers while still lacking the complete model configuration for a particular workflow.
Commercial Transparency
Whether a buyer can learn what this costs without entering a sales process: published rates, the unit being charged, what sits behind an enterprise tier, and what implementation adds.
On Aline's pricing page, the Team plan starts at $200 per full user per month and $50 per support user per month, with unlimited documents, workflows, templates and AI reports, playbooks and chat. Up to 20 hours of onboarding, implementation and training are included. According to the FAQ, there are no maintenance fees or fees based on contract volume, and a 21 day free trial is offered. Enterprise pricing is by quotation, and the page's annual figure is shown as $24,00, a display error.
Essentials costs $499 a month with annual billing and includes five users, AI Copilot, extraction and unlimited agreements, signatures, viewers and guests. Business costs $899 and Enterprise $1,299 on the same billing basis, each also including five users. Extra users cost $49, $69 or $89 monthly respectively. The plan comparison identifies workflow, integration and administration differences, with volume discounts offered on Enterprise. Commercial terms cap renewal price increases at five percent and require sixty days of notice for cancellation or downgrade. A separate implementation fee is not clearly stated, so the published subscription amounts may not cover every possible deployment charge.
Firm and Practice Coverage
Who the product is actually built for. AmLaw, midlaw, small firm and solo, in house departments, government and courts, and which practice areas are supported rather than merely claimed.
In house legal departments of two to five people, and teams led by a general counsel at companies of 100 to 1,000 employees, are the stated market for Aline, which contrasts itself with enterprise CLMs built for departments of 50. It also serves procurement, finance and sales users and has recently added an offering for law firms. The work covered is commercial contracting: NDAs, MSAs, DPAs, vendor agreements, policies and board memos, plus legal research questions. Nothing states which jurisdictions or contract types it handles less well, and the scope of the research function is not bounded.
Legal, procurement, finance, sales, HR, operations and IT teams handling their organization's agreements are all addressed by Concord. Essentials targets a small business or one department; Business supports multiple teams; Enterprise adds subsidiary management and other controls for larger organizations. Named customers span robotics, gaming, construction, payments and education. Templates, approvals and guest collaboration let legal teams set boundaries while colleagues conduct routine contract work. The claim to support any contract is not accompanied by a tested matrix of languages, jurisdictions or specialist legal issues. Its main audience is corporate contracting, without a detailed published workflow for law firms delivering advice across separate client matters.
The 12 legal signals, side by side
Recorded rather than graded. These are the questions a practitioner has to answer before a tool touches a client matter, and the answers are taken from public material only.
Client Data in Training
Can material a lawyer puts into this product be used to train a model?
The published Terms of Service prohibit training on customer inputs and outputs. Section 9(b) bars Aline from using inputs or outputs to train its AI features, and the security page adds that agreements with its third party model providers legally prevent training on customer data. Two things sit alongside and are recorded: the privacy policy permits use of aggregated or deidentified information for any purpose, and the Legal AI page says the product learns a team's negotiating positions and applies them, which is described as personalization rather than model training.
The commercial agreement grants broad rights to maintain and improve the service but expressly excludes using customer data or the customer's specific output to train Concord's AI models. Its security commitment also prohibits customer data being used for model training and describes zero retention obligations for the AI provider. Aggregate analytics remain permitted. The improvement rights are limited by the explicit training exclusion and do not extend to training on client contracts.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
Retention is acknowledged without a stated period. The privacy policy keeps information as long as needed to provide the service and meet legal obligations and allows archiving after removal from the service; the pricing FAQ says customers can download data at any time and have a grace period after canceling before data is removed. No period is given for prompts or outputs and no zero retention option is published.
Users can edit or delete their content through Concord. The privacy policy limits debug data to six months, retains anonymized analytics indefinitely and offers a data copy on request within thirty days of termination. The commercial agreement separately calls for return or destruction of confidential information when the subscription ends. Model provider zero retention is an additional protection, not a promise that the entire account retains nothing. A complete schedule for backups and every AI interaction is not published.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
The Legal AI page says requests run inside the customer's secure contract environment, and the Enterprise plan includes SSO, directory sync and Aline Groups. Nothing documents how access is separated between matters, teams or users within a customer, or whether it follows permissions from connected file stores.
Administrators define roles and categories, assign feature rights and control which agreements each user can access. Custom roles also govern folders and properties. Concord's extraction agent explanation makes the AI behavior explicit: contracts outside the user's permissions are not extracted, and the user does not see which inaccessible contract is involved. This is an internal permissions model rather than inherited rights from a legal document management system. A separate account of professional ethical walls across law firm clients is absent.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
Disclosure in response to legal process is addressed and customer notice is not. Section 7 of the terms lets Aline access, preserve or share information when it believes in good faith that doing so is reasonably necessary to comply with legal process, and the privacy policy permits disclosure as required by law. Neither document commits to notifying the customer or reserves a position on notice.
Section 4.2 of the commercial terms commits to prompt written notice before compelled disclosure of confidential information and a reasonable effort to obtain a protective order. Customer data falls within that confidentiality definition. The privacy policy separately allows law enforcement disclosure with or without notice at Concord's discretion, so the public language is not uniform. The contractual commitment supports notice for covered customer information; the broader privacy statement should not be presented as the same protection for every category of data.
Primary Law Corpus Provenance
Where does the law in this product come from, and does the vendor have the right to use it?
The research function is said to draw on the customer's contracts, statutes and approved legal sources, but no source of statutes or other law is named on the home, about, Legal AI, security or pricing pages or in the terms, and no jurisdictions are listed.
Agreements, templates and properties supplied through the customer's workspace are what the AI works with. The company names model service providers, but does not identify a licensed external legal research collection supporting contract explanations or proposed wording. Explanatory notes on extracted values describe how a contract field was derived, not the provenance of underlying legal knowledge. No inventory of authorities, commentary licenses or update schedule establishes the external legal corpus behind the models.
Good Law Verification
Does the product tell you when the authority it just cited has been overruled?
Nothing on the home, about, Legal AI, security or pricing pages or in the terms states whether any authority the research function cites is reviewed for subsequent history. Most output cites clauses in the customer's own contracts, where the question does not arise.
Contract risks are explained and terms extracted without a licensed citator or a judicial treatment mechanism. Approving an agreement and reading a note that explains a value say nothing about whether a legal authority remains valid. The system's contract repository is therefore distinct from a service that tracks later treatment of cases or changes to legislation. Legal conclusions drawn from its suggestions still require an appropriate independent method of confirming the applicable law.
Refusal and Uncertainty Behavior
What does the product do when the answer is not in the corpus?
No abstention or uncertainty behavior is described on the home, about, Legal AI, security or pricing pages or in the terms. The Legal AI page says answers are cited and never a hallucinated case, which is a claim about output rather than a description of what the system does when it cannot find support; the terms say outputs are not verified and must be reviewed by the customer.
AI responses may be incorrect, biased or misleading, Concord warns, and human evaluation is required. Extraction notes and sample testing help users inspect results before an agent is activated. The product does not publish a defined refusal response for inadequate legal support, an unsupported jurisdiction or contradictory information. The builder's clarifying questions concern the property being configured, rather than a general abstention policy during execution. A reviewer cannot infer uncertainty handling solely from the availability of a test preview.
Fabricated Citation Record
Does a public court record exist addressing fabricated or hallucinated legal citations in output from this product?
The AI Hallucination Cases database maintained by Damien Charlotin, and trade press reporting, record no court finding addressing fabricated or hallucinated legal citations in output from Aline. This is a statement about reported court decisions rather than a finding about the product, and it covers fabricated citations only, not litigation history of any other kind.
The October 16, 2026 review of the Charlotin database returned no entry naming Concord's contract platform in the AI tool field. One case includes Concord as a litigant in Concord v. Anthropic, with Claude.ai identified as the tool; that is not a finding about this vendor. A company name match alone would misattribute the incident. The lack of a named case says nothing about the accuracy of Concord's contract summaries or generated wording.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
No bar ethics opinion or court rule on AI is named or engaged on the home, about, Legal AI, security or pricing pages or in the terms. The terms do state that Aline is not a law firm and gives no legal advice.
Concord's ethics principles discuss human accountability, privacy and bias, and its terms require customers to evaluate generated output. They do not connect these controls to a named bar opinion, professional conduct rule or jurisdiction specific framework for lawyers. The platform's electronic signature compliance addresses a different legal question. Corporate legal teams receive review and access tools, but no published mapping explains how their use satisfies professional obligations when advising others with AI assistance.
Billing and Fee Posture
Does the vendor address what happens to the bill when the work takes an hour instead of six?
The product is bought mainly by in house legal teams that bill no client for the work. The savings it claims are the buyer's own, including $40,000 a year in outside counsel spend and faster reviews. Aline has recently added an offering for law firms, where a fee relationship would arise, and nothing addresses billing or disclosure for that use.
Concord is sold to organizations managing their own contracting operations, with business colleagues using templates and approvals defined by legal teams. The advertised savings concern administrative work, agreement delays and missed renewals within that organization. Its subscription does not record lawyer time for a client invoice or allocate a model expense to a represented client. No client fee disclosure process accompanies the product, and the corporate contracting relationship remains outside the ordinary lawyer client billing workflow.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
Providers touching customer content are named across the AI and the infrastructure, without a formal list or forwardable DPA. Section 9(e) of the terms names OpenAI and Anthropic as AI providers, the home and about pages add Google Gemini, and the privacy policy names AWS, Sendgrid and Stripe among service providers. The contractual list dates from November 2023 and no longer matches the site, and no data processing agreement is published.
The subprocessor list identifies OpenAI, Google and LangSmith for AI related work, with processing locations and transfer mechanisms alongside other suppliers. Concord offers its data processing agreement on request and provides access to its SOC report through a portal. These materials can support a client's supplier review, but no dedicated outside counsel AI disclosure pack is published. A legal team still needs the applicable plan, processing configuration and professional engagement requirements to complete a client approval response.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
Aline says every output cites the clause, source or precedent it came from, and approval workflows keep an audit trail of decisions. Nothing records which model produced an output or who verified it, and no disclosure export at document level is described.
Concord's audit trail records activity, users and timestamps, including changes after signing, and signature certificates can be downloaded. AI extraction notes add an explanation of individual values. These records can help reconstruct contract handling, but Concord describes no complete export of prompts, model identities and a lawyer's verification. The March 2026 release notes also state that completed workflow job records are removed after ninety days. A contract audit history should therefore not be assumed to preserve every AI execution detail indefinitely.
The questions both sides leave open
Derived from the records above rather than written, so it cannot favor either vendor. Take these into both conversations and ask each side the same question.
- Primary Law Corpus Provenance
- Good Law Verification
- Refusal and Uncertainty Behavior
- Bar Guidance Alignment
Product updates
The latest logged changes from each vendor, newest first, each linked to its source.
Aline
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Product / capability
Release 803 lets Aline's AI Chat answer questions across a customer's whole contract repository or a single report, such as which governing law most NDAs use, and returns a counted answer with links to the contracts behind it.
Source
In summary
Aline
Aline, from Aline Technologies, Inc., is a contract lifecycle platform with built in AI for in house legal teams of two to five people. It was founded in 2019 by a former general counsel and is based in Berkeley Heights, New Jersey. It drafts from a team's clause library, redlines against playbooks built from its templates, answers questions across contracts and extracts terms, alongside approvals, electronic signature and a repository. According to the AI Legal Index, its Salesforce integration is documented in depth and its pricing is published, from $200 per full user a month. Its terms bar training on inputs and outputs and name OpenAI and Anthropic.
Concord
Concord, from Concord Worldwide, Inc., is a contract lifecycle platform covering drafting, negotiation, electronic signature, storage and renewal tracking. It serves legal teams and the business teams that handle contracts without them. Concord launched in 2014 and is headquartered in Austin, Texas, with an office in Paris. Its AI Copilot answers contract questions and suggests edits, extraction explains each value it finds, and its Horizon workspace adds an agent builder. The AI Legal Index records published pricing, with plans from $499 a month for five users. Its terms bar training on customer data, and it lets customers keep data in the United States or Europe.
Questions buyers ask
Aline vs Concord: which is better for a small legal team?
They are evenly matched, so the deciding question is who runs the contracts. Aline is designed for in house legal teams of two to five and documents its Salesforce integration in depth. Concord is designed as much for business teams working without legal, publishes a fuller subprocessor list and offers United States or European data storage. A legal team that runs the process itself has more to read from Aline. From the AI Legal Index, based on each vendor's own published materials as of September 25, 2026. No vendor pays for placement.
Do Aline and Concord train AI on customer contracts?
Both sets of terms say no. Aline's terms of service state that it shall not use inputs or outputs to train its AI features, and its security page says agreements with its model providers prevent training. Concord's commercial terms grant it a broad license to use customer data to improve its system, with an express proviso that it will not use customer data or output to train its AI models. From the AI Legal Index, based on each vendor's own published materials as of September 25, 2026. No vendor pays for placement.
Which AI models do Aline and Concord use?
Aline's terms name OpenAI and Anthropic, and its site says it runs on Anthropic Claude, OpenAI and Google Gemini, picked per task. Concord's subprocessor list names OpenAI for AI extraction in North America, Google for language model tooling and OCR in North America and the EU, and LangSmith as a model tool. From the AI Legal Index, based on each vendor's own published materials as of September 25, 2026. No vendor pays for placement.
How much do Aline and Concord cost?
Aline's Team plan starts at $200 per full user and $50 per support user a month, with up to 20 hours of onboarding and a 21 day free trial. Enterprise is quoted. Concord charges $499, $899 or $1,299 a month billed annually, each for five users, with extra users at $49 to $89 a month and renewal increases capped at five percent. From the AI Legal Index, based on each vendor's own published materials as of September 25, 2026. No vendor pays for placement.
Neither vendor paid for inclusion, placement or a grade, and neither reviewed this page before it published. Everything on it comes from public material on the dates shown. How the index grades.
Three points to weigh. Both vendors disclaim legal advice or output accuracy in their terms while marketing to people who are not lawyers. Aline's contractual list of AI providers dates from November 2023 and omits Google, which its site now names. Concord's privacy policy reserves disclosure to law enforcement with or without notice, while its commercial terms commit to prompt notice for customer data. The terms control. Neither vendor reviewed this page.