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Concord

Concord is a contract lifecycle management platform from Concord Worldwide, Inc., first launched in 2014, that covers drafting, negotiation, electronic signature, storage and renewal tracking in one system. Its AI Copilot answers questions about contracts, explains risks and obligations and suggests edits. AI extraction pulls key terms from uploaded agreements with notes explaining how each value was identified, and its Horizon workspace adds an agent builder for automated workflows and AI generated reports.

It is designed for legal teams and for the business teams, such as sales, procurement and finance, that handle contracts without legal involvement, with intake forms and templates approved by legal. Concord integrates with Salesforce, HubSpot, Google Drive, Box, Dropbox, DocuSign, Microsoft Word and Zapier, offers a public REST API and MCP connections for ChatGPT and Claude, and names OpenAI and Google among its AI subprocessors.

Its published annual subscriptions start at $499 a month for five users on Essentials, with Business at $899 and Enterprise at $1,299. The company was founded by French entrepreneurs and describes its current headquarters as Austin, Texas, with an office in Paris.

Compared with

Concord, head to head

Side by side on the same 15 capability axes and 12 legal signals: where the two part company, and what neither one publishes.

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Capability grades

All 15 axes, graded from public sources on the date shown. Hover a grade to see what the letter means on that axis.

BB on AI CentralityThe models are the engine of a core capability, layered on a product that would still function without them as a document or workflow system.

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.

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.

Source: Vendor Published
CC on Citation Accuracy and Hallucination DisclosureAccuracy is asserted without measurement, or grounding is claimed while output cites sources the reader cannot open and verify.

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.

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.

Source: Vendor Published
BB on Autonomy and Oversight ModelA written commitment that the models work alongside a supervising lawyer, with real review surfaces, short of the full control structure: commonly the threshold at which the system stops or what happens after it is wrong.

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.

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.

Source: Vendor Published
BB on Operational and Outcome EvidenceReal deployment evidence with substance, short of full attribution or measurement: a named customer without figures, or figures without the named customer.

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.

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.

Source: Vendor Published
BB on Privilege and Confidentiality PostureSubstantive published commitments on confidentiality and training use, short of the full picture: commonly silence on segregation between users or matters, or on what the underlying model provider may retain.

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.

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.

Source: Vendor Published
CC on UPL and Professional Responsibility PostureA boilerplate disclaimer sits in the terms while the marketing describes the product in advice terms, or the intended audience is left ambiguous.

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.

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.

Source: Vendor Published
CC on AI Governance and Bias DisclosureResponsible AI principles are published without a mechanism, a testing regime, or anything a buyer could audit.

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.

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.

Source: Vendor Published
BB on AI Safety and Data StewardshipSubstantive published policy covering most of the ground, short of the full set: commonly no named subprocessor list or no stated incident practice.

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.

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.

Source: Vendor Published
CC on AI Liability and RecourseLiability is addressed only through a standard limitation clause that disclaims the exposure the product creates.

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.

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.

Source: Vendor Published
AA on Practice Systems Integration DepthDocumented, verifiable integrations into the systems legal work already lives in, with the depth described: what syncs, in which direction, and what a firm must configure.

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.

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.

Source: Vendor Published
BB on Deployment Model and Data ResidencyDeployment model is stated clearly with partial residency detail, or residency is offered without the processing location being addressed, or the tenancy model is stated on its own with no residency detail published.

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.

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.

Source: Vendor Published
BB on Security Certifications and Trust CenterCertification is real and stated, short of accessible evidence: a named standard without scope, date, or a way to obtain the report.

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.

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.

Source: Vendor Published
BB on Model Supply Chain DisclosureThe supply chain is partly disclosed: providers named without change notification, or architecture described without the providers.

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.

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.

Source: Vendor Published
AA on Commercial TransparencyA buyer can learn what this costs without entering a sales process: published rates, the unit being charged, and what implementation adds.

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.

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.

Source: Vendor Published
BB on Firm and Practice CoverageSegment and practice coverage is described with substance, short of the boundaries: what is supported is clear, what is not is left open.

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.

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.

Source: Vendor Published
Sources on file

8 public documents

The public pages on file for Concord, with the recorded signals each one supports and the date it was last read. Open any of them and check the reading against the record.

Pricing

$499 / month (5 users, billed annually)

USD, as published, never converted
  • Concord's Essentials plan costs $499 a month, billed yearly, for up to five users.
  • Extra users cost $49 a month each.
  • The Business plan is $899 a month and Enterprise is $1,299 a month, each for five users.
  • AI Copilot and extraction are included in every plan.
  • Larger companies can ask for volume discounts on Enterprise.

Essentials costs $499 per month billed annually, with 5 users included and additional users at $49 per month. It includes AI Copilot and extraction and unlimited electronic signatures, documents and guests. Business costs $899 per month billed annually, with 5 users included and additional users at $69 per month, and adds intake forms, approval workflows, custom roles, reports and CRM and storage integrations. Enterprise costs $1,299 per month billed annually, with 5 users included and additional users at $89 per month, and adds a clause library, subsidiary management, bulk send, open API and custom branding, with volume discounts available. The Commercial Terms cap renewal price increases at 5 percent.

Implementation: Not stated; tailored implementation is listed among plan support features without a separate public fee.

Note: Each published plan includes five users with annual billing. Cancellation and downgrades require at least 60 days of notice before renewal; standard renewal increases are capped at 5 percent. Older comparisons that label $499 as a per user fee conflict with the current five user package.

Legal Signals

What each signal means

A signal records what public sources say on the date shown. It is not a grade and it is not a recommendation. Where a signal reads Not addressed, it means the index did not locate the material in public sources on that date, which is a statement about disclosure rather than about the product.

Confidentiality and Privilege

Client Data in Training

Can material a lawyer puts into this product be used to train a model?

Never, in the contract

The published terms prohibit training on customer content. Not a policy page, the agreement.

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. Those improvement rights should be read with the explicit training exclusion, rather than treated as an unrestricted permission to train on client contracts.

Source: Vendor PublishedConcord will not use Your Data or your specific Output to trainAs of Oct 16, 2026Evidence

Prompt and Output Retention

How long does the product keep what a lawyer typed, and can that be set to zero?

Customer controlled, no zero option

The customer controls the retention window, by product configuration or by contractual instruction, but zero retention is not stated as available.

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.

Source: Vendor Publishededit or delete the personal information or Your ContentAs of Oct 16, 2026Evidence

Ethical Walls and Matter Segregation

Does retrieval respect the firm’s ethical walls, or can the model read across them?

Own model, documented

The product maintains its own permission model, documented, requiring the firm to keep it aligned.

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.

Source: Vendor PublishedThe agent follows Concord's existing permission levels.As of Oct 16, 2026Evidence

Third Party Request and Subpoena Notice

If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?

Notice committed

Terms commit to notice where lawfully permitted. No transparency report located.

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.

Source: Vendor Publishedwill first have given prompt written notice to the other PartyAs of Oct 16, 2026Evidence
Accuracy and Authority

Primary Law Corpus Provenance

Where does the law in this product come from, and does the vendor have the right to use it?

Not addressed

No located public material identifies the corpus behind the product’s answers.

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.

Source: Vendor PublishedAs of Oct 16, 2026Evidence

Good Law Verification

Does the product tell you when the authority it just cited has been overruled?

Not addressed

No located public material addresses whether authority is checked for subsequent history.

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.

Source: Vendor PublishedAs of Oct 16, 2026Evidence

Refusal and Uncertainty Behavior

What does the product do when the answer is not in the corpus?

Not addressed

No located public material addresses what the product does when it cannot ground an answer.

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.

Source: Vendor PublishedAs of Oct 16, 2026Evidence

Fabricated Citation Record

Does a public court record exist addressing fabricated or hallucinated legal citations in output from this product?

None located

No court order, opinion or disciplinary record addressing fabricated or hallucinated legal citations produced by this product has been located as of the date shown. This is a statement about the public record on that one subject, not a finding about the product, and this signal is not a litigation history.

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.

Source: Operator VerifiedAs of Oct 16, 2026Evidence
Professional Responsibility

Bar Guidance Alignment

Has the vendor engaged in public with the ethics opinions its buyers are bound by?

Not addressed

No located public material engages with bar or ethics guidance.

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.

Source: Vendor PublishedAs of Oct 16, 2026Evidence

Billing and Fee Posture

Does the vendor address what happens to the bill when the work takes an hour instead of six?

Outside the fee relationship

The product does not touch a fee between a lawyer and a client. It operates before an engagement exists, or it is bought by a team that bills no client for the work. Savings claims aimed at the buyer’s own cost are recorded in the summary and do not make the row a savings claim, because no client bill is in the loop.

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.

Source: Vendor PublishedAs of Oct 16, 2026Evidence

Outside Counsel Guideline Readiness

Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?

Subprocessors listed

A current subprocessor or model provider list 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.

Source: Vendor PublishedAs of Oct 16, 2026Evidence

Court Disclosure Support

If a judge’s standing order requires an AI disclosure, can the product produce one?

Partial record

Some elements of the record are available, short of a document level export.

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.

Source: Vendor PublishedAs of Oct 16, 2026Evidence
Contact

Correct a record, or ask how something was graded

Every grade and every signal on this index is drawn from public sources and dated. If a record is wrong, out of date, or missing an artifact the index did not locate, send the source and it will be reviewed and the record redated. Vendors are welcome to submit documentation. Nothing on this index is for sale, including a listing, a placement, or a grade.

AI Legal Index

The AI Legal Index is an independent index that tracks changes to AI vendors in legal. It holds 462 vendors across 9 categories, each graded on the same 15 capability axes and recorded against 12 legal signals, from public sources. No vendor pays for inclusion, placement, or rating.

Index Status
Last index update
October 30, 2026
The AI Legal Index is an editorial reference. It is not a regulatory body, not a law firm, and nothing published here is legal advice or a recommendation to retain or avoid a vendor. Records are verified against published sources, bar guidance and public court records. Where a record reads not addressed, the material was not located in public sources on the date shown. See the Methodology page for evaluation standards and limitations.
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