Bigle vs Contractbook: how they compare in 2026
Bigle emphasizes configurable assistants and AI suggestions across several contract tasks, including extraction and signer preparation. Its named iManage and NetDocuments connections also matter where contract work already relies on a legal document system. Contractbook emphasizes the transition from an existing agreement to verified structured fields, plus a detailed HubSpot workflow for generating and returning contract data. Both offer a full contract lifecycle and require people to review AI output. Their commercial structures differ: Bigle separates Libra capacity into query and token allowances, while Contractbook's plans distinguish seats, templates and annual signing volumes. Their data terms also use different controls, Bigle's restriction to service delivery with a voluntary feedback exception and Contractbook's requirement for consent before AI training.
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.
Bigle combines contract creation, collaboration, approval and signing with Libra, its legal AI assistant. The document assistant summarizes an open contract, answers questions about its clauses, drafts replacement language and translates text. General Chat handles conceptual questions without an open file. Administrators can save assistants with the company's review instructions, including a supplier risk reviewer that checks liability, renewals and jurisdiction. Libra 2.0 adds signer and certified email recipient completion and metadata extraction from imported agreements. Those functions sit beside the template engine, repository, workflows and electronic signature product, which provide contract operations beyond the AI features.
AI Import reads existing contracts, extracts structured fields and helps turn a collection of files into a usable agreement database. The Contract Assistant adds plain language questions, summaries, risk identification and clause revisions. Both operate inside a wider application with template drafting, collaboration, electronic signatures and ongoing contract management. Templates and configured workflows still handle repeat agreements independently of the assistant. Customers can combine the extracted dates and obligations with reminders, while CRM data populates new agreements. Essential includes the assistant; higher plans add broader data extraction, custom fields, automation and team administration around these AI functions.
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.
The document assistant works against the contract open in the workspace, while General Chat also answers legal questions without a source file. Custom assistants can quote the original clause, explain a risk and suggest alternative wording according to an administrator's instructions. Metadata extraction presents alternative predictions for review. The product warns that answers can contain hallucinations and need checking before use. No measured accuracy result or linked primary law retrieval method accompanies the current product. A clause quoted from a customer's agreement is a way to inspect that agreement, rather than confirmation that a legal proposition is supported by current authority.
AI Import connects extracted data to the text it came from. Selecting a purple field in the sidebar moves the reader to its exact location in the original agreement and highlights the passage. Users can inspect individual values or verify all fields together, and the repository marks completed verification. Import first processes the uploaded files and extracts their contract data, with OCR included for relevant files. This is source based verification of customer agreements, rather than a legal citator. No test set, measured accuracy result or explicit unsupported answer behavior accompanies the Contract Assistant's broader clause recommendations.
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.
Signer detection extracts names and email addresses for a user to confirm before sending. Metadata detection runs from the document panel, offers alternative predictions and saves only after the user chooses Save. Administrators configure the metadata fields and the instructions used by custom assistants. Separate workflow steps route contracts through collaboration, approval and signature, with validation groups controlling who can approve. The terms require customers to evaluate both generated answers and extracted information before making decisions. They also prohibit AI decisions with significant legal effects on an individual. Automatic escalation after a bad prediction is not specified.
An AI import can be canceled during upload, OCR or extraction, and the canceled file is discarded. After processing, a reviewer checks the proposed data against highlighted source text and marks the fields verified. That verification can become the trigger for a reminder or a move into a shared space. Users need the relevant company permissions to import files and manage custom contract types. Template workflows also support approval steps before signing. These controls give teams review and cancellation surfaces, but the assistant has no stated confidence cutoff or defined escalation path for an answer that cannot be supported.
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.
Euro-Funding uses Bigle's CLM and Libra to address a large volume of contracts and outdated versions. Its case study describes selecting a platform, implementing it and getting staff to adopt it across a business that supports public funding, tax savings and sustainability projects. Red Points' legal director describes replacing a contract bottleneck with automation, collaboration and shared visibility. The customer catalog also covers Abertis, Aigues de Barcelona, E+H, Habitat Inmobiliaria, Forcadell and Amstro. These are accounts of contract operations and adoption. No named customer study isolates Libra 2.0 accuracy or measures its effect with a dated before and after method.
Bizzkit's compliance officer describes saving 15 to 20 hours extracting data from about 50 legacy data processing agreements. That is a named example of AI extraction in use, with the time estimate supplied by the customer. Lenus separately describes reducing contract preparation from 15 minutes to five through templates and integrations with Salesforce, Greenhouse and HiBob. Those automation results are not presented as a measurement of the newer Contract Assistant. GANNI and Pave also discuss repository and extraction benefits. No dated comparative study isolates the assistant's effects on review quality or legal outcomes.
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 input and AI output remain the customer's property. The AI terms limit content use to delivering the service, with a separate exception when a user voluntarily submits feedback. Libra runs with a private model copy for customers in the European Union, and customer files are encrypted during transfer and storage. Access groups separate resources by team; administrators retain access across the workspace, while ordinary users see their own work. These are application permissions rather than a description of how attorney client privilege is preserved. Third party model retention and privilege handling are not stated.
Section 9.12 of the service terms bars AI model training on retained platform data unless the customer gives consent in writing or through the application. Confidential information is limited to service delivery and remains protected after termination. AI imports start in the user's private contract view, while sharing depends on the application's space permissions. Google Cloud hosts platform data and Azure hosts the language model, both with EU locations in the processor list. Privilege and work product handling are not addressed directly, and the terms do not specify what the model provider retains from individual prompts or responses.
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.
General Chat explains legal concepts, compares contract types and drafts clauses, but does not replace a lawyer's professional judgment. Its examples include confidentiality agreements, good faith, force majeure and hypothetical contract scenarios. The document assistant separately limits its context to the file in use. The AI terms say output is not a substitute for professional advice and require the customer to evaluate its suitability. They prohibit entering information about children under 14 and using AI for decisions that significantly affect an individual. No jurisdiction by jurisdiction supervision or competence framework is supplied.
The service is restricted to business activity and is not offered to consumers. Section 8 describes the supplied templates as drafting inspiration rather than legal advice, and the company profile makes the same tooling distinction for the product. Legal teams can control templates, approvals and shared spaces while other employees generate routine agreements. The customer remains responsible for using suitable agreements and deciding whether electronic signatures are appropriate. No jurisdiction specific competence guidance or named professional supervision standard accompanies the assistant. Its explanation and rewriting features therefore sit inside the customer's own legal review and contracting responsibilities.
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 services terms describe selecting generative models trained through Constitutional AI, using stated ethical principles to shape responses and reduce subjectivity. Prohibited uses include discriminatory, deceptive and harmful activity. Administrators also configure a custom assistant's role, analysis rules and response format, so a team can apply its own contract playbook consistently. The broader information security program assigns policy approval and risk management to executive management. That security ownership is not an AI testing program. No release evaluation, named AI governance owner or result showing uneven performance across legal tasks accompanies Libra.
Contractbook's trust center describes security policies, change management and an incident response program. Management reviews that security program at least annually, and production data is restricted in development and testing environments. The AI features separately support source highlights, user verification and consent for model training. None of these materials sets out an AI release evaluation process, a responsible AI framework or results showing uneven performance across contract types or user groups. The page titled AI Policy Page is a company and product profile for automated readers, rather than a policy assigning accountability for the behavior of the language model.
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.
The security program includes encryption, SAML sign on, risk assessment, staff awareness and an incident reporting address. Workspace administrators create access groups and control the permissions assigned to each profile. Personal information is deleted after its purpose ends, apart from material needed for claims or legal requirements. The subscription terms separately remove stored files when the relationship ends. In the product, users can download a chat and clear the current conversation. A named subprocessor list and a customer breach notification deadline are not supplied, and the duration of stored AI conversations is not defined.
Customers can remove or archive their own data through the application and request removal at termination. Signature verification information has separate retention rules and generally requires all signers' consent before deletion. The privacy policy gives a general service data retention period with legal exceptions, while the processor list identifies providers, roles and locations. Space permissions, encrypted storage, logging and a trust center incident plan add operational controls. Confidentiality breaches require prompt notice under the terms. A specific retention window for assistant prompts and outputs, together with a deletion schedule at the model host, is not stated.
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 AI service is supplied as is, with responsibility for generated legal assessments and the use of content placed on the customer. Bigle promises reasonable efforts to reduce errors and delivery in line with industry standards, rather than a remedy for an incorrect legal conclusion. Separate support terms provide correction, repeat performance or reimbursement for defective support and limit related exposure to fees. Those remedies concern the support service. No AI output indemnity or accuracy warranty is offered. Spanish law and the Barcelona courts govern the customer relationship where the parties may choose jurisdiction.
The service agreement limits liability to fees paid in the 12 months before the first claim arose. It excludes lost profit, business opportunity, third party liabilities, data loss and several other categories of loss, and supplies the service as is. Death or personal injury caused by negligence, fraud and fraudulent misrepresentation are outside the stated limitations. The customer, rather than the vendor, gives the agreement's indemnity. Contractbook promises customary insurance without naming its amount or scope. These provisions do not provide a specific warranty or recovery route for a mistaken AI clause explanation, extraction or revision.
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 integrations catalog includes iManage, NetDocuments, SharePoint, Google Drive, Dropbox, HubSpot, SAP, Microsoft Dynamics, Power BI and DocuSign. A REST API handles template structures, generation from business data, file downloads, signatures and document status webhooks. A universal connector retrieves data from third party APIs to populate contract forms, while the internal repository accepts spreadsheet updates. Microsoft Active Directory through SAML validates user access after the connection is enabled for the workspace. The named legal document system connections lack individual descriptions of synchronization direction, permission inheritance and setup. API actions have more detail than those packaged connections.
The HubSpot integration moves deal and company data into contract templates and can synchronize negotiated values back after signing. Setup requires defined template fields, the appropriate Contractbook template or company permissions, and specified HubSpot CRM, product library and marketplace rights. The administrator connects the accounts through Integrations and accepts the requested permissions, then configures triggers and actions. HubSpot quotes can become attachments, and its widget displays contract status and activity. Disconnecting unpublishes related automations without deleting generated files. Salesforce, API access, Zapier and Make extend other workflows, with availability and charges varying by plan.
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.
Bigle is a hosted workspace with EU servers and an EU private model copy for Libra customers. Users access contracts, shared review and signatures through the platform, and enterprise configuration includes a separate preproduction environment, custom branding and identity management. The AI can be bought independently or alongside the CLM subscription. Voice dictation is processed locally on the user's device; Bigle does not receive the audio or transcription from that function. Cloud provider identity, individual EU regions and a separate account of where model inference runs are not specified. No customer operated deployment is described.
Contractbook runs as an online contract workspace with organization accounts, shared spaces and individual access rights. The subprocessor list places Google Cloud platform hosting and Azure language model hosting in the EU. It also identifies United States services for email, messaging, monitoring, traffic management and integrations, so the EU hosting entries do not describe every supporting data flow. The privacy policy permits transfers outside the EU and EEA with safeguards. No country selection, customer hosted installation or private tenancy option is specified, and the available material does not allocate storage and processing locations separately for each subscription plan.
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.
An ISO 27001 audit is stated for Bigle's information security management system, and the security page links an SGS certificate verification entry. The certificate details could not be retrieved, so its current scope and validity period remain unconfirmed. The public security controls include AES 256 encryption, HTTPS connections, SAML sign on and regular cybersecurity audits. Its security policy assigns review and approval of the management system to executive management and extends the program to staff and suppliers. No additional independent AI assurance is stated. The certification claim concerns information security rather than the accuracy of contract analysis.
The security page states SOC 2 compliance and describes recurring penetration tests, encrypted credentials, verified accounts and two factor signing. A Secureframe trust center offers a SOC 2 report through a request control and lists security policies covering access, change management, risk and incident response. Its public material does not identify the assessment period, report type, auditor or detailed system scope. The separate Openli profile could not be accessed, so any material there remains unknown. Customer signatures and identity controls support contract execution, while the SOC 2 claim addresses service controls rather than measured accuracy of the AI assistant.
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.
Libra uses generative models for answers and drafting and discriminative models for identifying contract entities. The AI terms describe Constitutional AI as the training approach behind selected generative models, but do not identify a provider or model version. The current suite combines document chat, general chat and metadata extraction, with a private model copy for EU customers. Voice input instead relies on local device and browser processing. The name of that browser's speech service is not fixed by Bigle. No named production model inventory or commitment to notify customers of model replacements is supplied.
Microsoft Azure hosts the large language model used for the product's AI functions, with the processor list assigning that service an EU location. Google Cloud is separately responsible for storage and platform hosting. The application combines document import, OCR, field extraction and a conversational contract assistant, but the specific model name and version are not identified. The terms require customer consent before retained platform data is used for model training. A general notice rule for contractual updates does not provide a specific commitment to notify customers about model replacements or changes to the inference supply chain.
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.
CLM subscriptions are organized as Starter for up to four users, Premium for five to nine and Enterprise for larger teams. Libra is contracted separately, with Basic allowing 20,000 input tokens, 2,000 output tokens and 40 daily requests, and Pro doubling each limit. Subscription scope varies with users, functionality and service level, and prices are provided during contracting. The agreement has a one year minimum term even when payments are monthly. Template automation services are separately scoped, and some training carries an additional cost. OCR for scanned contracts requires account activation and its own pricing discussion.
Essential, Centralize and Accelerate include one, five and ten users, with annual signed contract allowances of 100, 350 and 500. Template limits are five, 15 and 25. The current pricing page shows no base subscription amount; a company profile updated in March 2026 gives a starting rate of €89 per month. The pricing FAQ lists five extra users at €50 per month, or €600 annually. Automation and provisioning are optional for Centralize and included in Accelerate, while several integrations cost extra. Custom setup uses a quote, and the terms provide for upgrades or additional charges when usage limits are exceeded.
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 departments use Bigle for contract requests, drafting, negotiation, approval, signing and ongoing contract administration. Procurement, sales, HR and IT can participate in the same workflows under legal team's templates and permissions. The suite also serves law firms, with the company describing both corporate and firm customers across Europe and Latin America. Libra supports contract translation in more than 20 languages, including English, Spanish, French, German and Portuguese. General Chat covers legal concepts beyond an individual agreement, while its document assistant stays with the open file. Supported jurisdictions and excluded practice areas are not enumerated.
Small and midsize sales, legal, HR and operations teams use the platform for standard recurring agreements such as NDAs, sales contracts and employment agreements. The Lenus case describes legal counsel setting templates and boundaries for colleagues across several markets. Bizzkit uses extraction for legacy data processing agreements, while GANNI and Pave describe contract visibility and renewal work. The company focuses on European markets and also offers industry pages for government, healthcare, construction and procurement. Its own profile excludes legal advice and simple one off signing as its intended role, without supplying a jurisdiction by jurisdiction support matrix.
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?
Section 32.3 limits customer content to providing the AI service and bars its use to develop or improve that service. A user who voluntarily supplies feedback creates an exception for maintaining and improving it. The input and resulting output remain the customer's property. Libra's private EU model environment also keeps data from feeding a model beyond that user's platform. The agreement does not describe what content accompanies feedback.
Section 9.12 prohibits use of retained platform data for AI model training unless the customer consents in writing or through the platform. Section 9.1 separately refers to anonymized development data where consent has been given. The general service processing license covers delivery, maintenance, fixes, security and legal obligations. It does not override the express training consent requirement, and no default training permission is stated for a new customer.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
Chat history can be downloaded and the current conversation cleared. Saved metadata stays in the contract database and remains editable. Subscription termination removes material from the customer's private area, while the privacy policy retains information needed for legal obligations or claims after other processing ends. None of these provisions gives an active account's prompt and response retention period, and clearing a chat is not described as a zero retention setting.
Customers may remove or archive their data at any time through the platform under section 9.4, and may request removal of their own data when the agreement ends. Signature verification information follows a separate rule requiring signer consent. The privacy policy supplies a broader service data retention period with legal exceptions. No explicit zero retention setting or separate fixed period for assistant prompts and answers is specified.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
Access groups define which departments or teams can see a resource. A new contract belongs to its creator's group by default, and an administrator can change its group and the groups a user may access. Profiles separately govern actions: administrators see the entire workspace, supervisors see their group's work and creators see their own. Template access can also be restricted. No retrieval connection that inherits an outside document system's permissions is described.
AI imports are private in the importing user's contract view until shared directly or moved to a shared space. Space access separates viewing, contract management and space management, while external collaborators receive view rights only. Company user groups can also receive access, with direct permissions surviving removal from a group. This is Contractbook's own access model, without an identified connection that inherits a firm's document system ethical walls.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
The privacy policy permits disclosure to third parties when a legal obligation requires it. It offers individuals access, correction, deletion and processing restriction rights, with requests directed to Bigle's legal contact. The AI service terms protect content ownership and restrict use to the service, subject to voluntary feedback. No promise tells a customer before disclosure to an authority, and no transparency report describes requests received.
Section 9.8 requires written notice before legally compelled disclosure whenever possible. The confidentiality clauses also permit information to be supplied to other signers of an agreement completed through the platform. The privacy policy covers legal obligations and requests from authorities. No transparency report accompanies these commitments. The separate Disclosure Policy concerns security vulnerability reporting and does not describe the handling of subpoenas or other demands for customer contracts.
Primary Law Corpus Provenance
Where does the law in this product come from, and does the vendor have the right to use it?
Document Assistant answers from the agreement currently open, and company playbooks can direct the clauses it examines. General Chat also explains legal principles and explores hypothetical scenarios without that file context. Its underlying legal knowledge is not tied to a named collection of cases or statutes, a license or an update timetable. Contract metadata includes applicable law, which is extracted contract information rather than a maintained legal research source.
AI Import processes the customer's legacy agreements and points extracted fields back to text in those files. The contract assistant also works with the selected agreement, while customers can create templates or use the vendor's template library. No licensed case law or statute collection is identified for those functions. The supplied templates are drafting material, and the agreement expressly distinguishes them from legal advice for the customer's situation.
Good Law Verification
Does the product tell you when the authority it just cited has been overruled?
Libra can explain clauses and draft alternatives in the language of a contract. Its legal discussion covers principles such as good faith and force majeure, and the assistant warns users to validate generated answers. It does not describe a citator, subsequent case history or an inline warning that an authority has been overturned. Extracting an applicable law field from an agreement does not perform that check.
The platform's verification feature checks extracted information against the source contract, with highlighted passages and a completed verification marker. It does not track judicial treatment of cases or statutory amendments. The assistant can explain and rewrite clauses, but no connection to a legal citator or warning that an authority has been overturned is specified. Renewal reminders and signature status concern the agreement's lifecycle, rather than the legal status of an authority.
Refusal and Uncertainty Behavior
What does the product do when the answer is not in the corpus?
A custom risk assistant can be instructed to say when it finds no risk in the specific categories its administrator selected. That is a configurable review instruction. Neither the general chat nor the document assistant has a stated refusal path for an unsupported legal answer. Metadata review exposes other predictions, but no confidence measure or abstention threshold is described for the generated text.
Reviewers can inspect AI extracted fields beside highlighted source passages and verify them individually or together. They can also cancel an import during processing, which discards the file. These controls let a person check the extraction, but no explicit unsupported answer response or confidence indicator is described for the conversational assistant. The option to stop an upload is a user action, not a model refusal when information is insufficient.
Fabricated Citation Record
Does a public court record exist addressing fabricated or hallucinated legal citations in output from this product?
Damien Charlotin's AI Hallucination Cases database has no entry naming Bigle or Bigle Libra as the source of fabricated citations. Libra's current products cover contract drafting, questions and metadata extraction, with a separate general legal chat. The help center warns that answers can contain errors and tells users to review them before applying them to their work.
No court order or disciplinary record concerning fabricated legal citations from Contractbook appears in the AI Hallucination Cases database. The product extracts data from customer agreements and offers questions, summaries and clause revisions within its contract workspace. That database result does not measure extraction or drafting accuracy. Its source highlights support a user's review of contract data, without constituting a check of every legal assertion produced by the assistant.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
The General Chat guide preserves the lawyer's professional judgment, and the AI agreement requires review before relying on an answer. Usage restrictions cover harmful decisions about individuals, deceptive use and information about young children. These are product rules rather than engagement with a named bar opinion. No mapping to lawyers' competence, confidentiality or client consent guidance from a professional body accompanies the service.
The service terms limit the platform to business users and explain that the template library does not provide legal advice. Legal departments can control templates, permissions and review steps for other employees. No named bar opinion, jurisdiction specific competence requirement or product mapping to professional ethics guidance accompanies these controls. The statement that the service is a business tool does not specify how a lawyer should record supervision of its AI functions.
Billing and Fee Posture
Does the vendor address what happens to the bill when the work takes an hour instead of six?
Bigle sells contract automation to corporate teams and law firms and promotes less manual drafting, copying and administrative work. Its customer catalog includes Amstro's legal and business process services alongside corporate legal departments. Libra's new signer and metadata functions further reduce routine entry work. No guidance describes how a law firm should bill for that saved time or disclose AI assistance to the client paying for the contract work.
The stated buyers are business teams managing their own sales, employment, supplier and compliance agreements. Named legal customers include internal counsel at Lenus, GANNI and Pave, and the product describes savings in their contract administration. Bizzkit reports less manual extraction work on legacy agreements. No law firm client billing workflow is identified in the current buyer materials, and those savings relate to the organization's own time and contracting costs.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
The public materials include a security overview, information security policy, customer terms and a certificate verification link. They describe permissions, encryption and EU hosting, but do not identify the model providers or other processors handling a client's contract text. No consent or disclosure pack for a law firm's clients is supplied. Bigle Academy provides product training and a knowledge base for customers rather than an outside counsel AI disclosure package.
The processor register names Google Cloud for platform hosting and Azure for the language model, both in the EU, alongside supporting providers and their locations. Customer terms set a training consent requirement and confidentiality duties. The data processing agreement is generated through a workflow that requests customer details and acceptance of terms. No separate client consent pack or exact model version inventory accompanies the public processor register.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
A user can export the entire conversation with the document assistant, preserving the questions and answers. Contract negotiation also keeps tracked changes and versions, while electronic signatures generate evidence about the signing transaction. These are different records serving different stages of the workflow. No export connects a generated passage to the model version, retrieved legal authorities and named human verifier for a filing certification.
Imported agreements retain extracted fields, highlighted source passages and a verification state that users can inspect in the contract view. The application also tracks versions, collaboration and signature activity. These elements provide part of the record of a user's review, without a specified export connecting each AI response to its model version and a named human verifier. No court specific certification form or complete AI disclosure bundle is described.
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.
- Good Law Verification
- Refusal and Uncertainty Behavior
- Bar Guidance Alignment
Which one fits
Choose Bigle if
- Specialist assistants need administrator defined instructions.
- Contract workflows depend on iManage or NetDocuments connections.
- Reviewers need proposed signer or certified email recipient details.
Choose Contractbook if
- An existing archive needs extracted values linked to source passages.
- HubSpot should generate drafts and receive signed contract data.
- A defined allowance for users, templates and annual signatures fits the workload.
In summary
Bigle
Bigle brings Libra assistants into a contract lifecycle covering creation, approval, signature and storage. Administrators can configure assistants for specialist tasks, while users ask agreement questions, draft language, translate and extract metadata. The AI Legal Index highlights Libra 2.0's reviewable predictions, including proposed signers and certified email recipients, as controls embedded in contract operations. Connections include legal document systems such as iManage and NetDocuments alongside business tools. Libra capacity is sold separately with daily query and token limits. Its AI terms restrict ordinary content to service delivery, with an exception for information that users voluntarily submit as feedback.
Contractbook
Contractbook combines an agreement repository with templates, approvals, signing and a Contract Assistant. AI Import handles supported existing files, creates structured values and shows the passage behind each proposed value. The AI Legal Index identifies confirmation of those fields before automation as Contractbook's central review step. HubSpot can create drafts using mapped deal fields and receive information after signature. Subscription plans limit seats, templates and annual signed contracts, with additional users available separately. Customer data can be removed or archived under the service terms, and use for AI training requires customer consent. Initial imports remain private until the user chooses to share them.
Questions buyers ask
Can teams configure their own AI tasks?
Bigle lets administrators create specialist Libra assistants with their own instructions. Contractbook offers a Contract Assistant for questions, summaries and clause rewriting, alongside its separate import workflow. Those are different ways of organizing AI work inside contract operations. From the AI Legal Index, based on each vendor's own published materials as of October 15, 2026. No vendor pays for placement.
What must users verify?
Bigle users review predicted metadata and proposed signer or email recipient details. Contractbook users inspect source highlights and verify extracted values before those values trigger automation. Neither control establishes that every suggestion is correct. From the AI Legal Index, based on each vendor's own published materials as of October 15, 2026. No vendor pays for placement.
How do the data terms handle training?
Bigle limits ordinary AI content to delivering the service, with a separate exception for voluntary feedback. Contractbook requires customer consent for AI training. Neither statement by itself means that all application records are immediately deleted after a request. From the AI Legal Index, based on each vendor's own published materials as of October 15, 2026. No vendor pays for placement.
Which integrations distinguish the products?
Bigle's catalog names iManage and NetDocuments. Contractbook provides a detailed HubSpot flow covering field mapping, draft creation and updates after signature. The relevant difference is the system carrying the contract work and the information that must move between applications. From the AI Legal Index, based on each vendor's own published materials as of October 15, 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.
Bigle and Contractbook both operate in contract review and drafting. The distinctions concern their current assistants, connections and contract terms. Neither company reviewed the comparison, and no output benchmark was conducted. Since its acquisition by Scrive in June 2025, Contractbook has retained its product name and service.