F
Flank
Flank runs supervised AI agents that take over high volume legal work for enterprise in house teams, delivered by a forward deployed team rather than as a software rollout. The agents triage requests from the business and draft NDAs, MSAs, DPAs, statements of work, term sheets and franchise agreements from the team's templates. They also review and redline third party paper against the playbook, handle objections in negotiation and answer legal and policy questions.
Requests arrive by email, Teams, Slack, forms or an intranet portal, so business users never open a new tool. Work outside the team's guardrails lands in a supervision queue, reviewed by the team's own lawyers, a partner firm such as Simmons & Simmons, or Flank's commercial counsel as a managed service. Flank Record files every executed contract at signature and answers questions about the estate in plain language. The company is Legal OS GmbH of Berlin, and models from OpenAI, Anthropic and Google run on Google Cloud and Azure in a regional tenant for each customer.
Flank, 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.
Alternatives to Flank
Vendors in the same categories as Flank whose graded profiles look most alike, with a line on what each product does.
Similar is not the same, so check that each one does the job you need. No vendor pays for placement.
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- SSagaSaga is a legal AI platform from Saga International B.V. in Amsterdam, with Norwegian roots, used by more than 500 legal teams and law firms in over 25 countries.
- AAnwaltGPTAnwaltGPT is an AI platform for German law firms, in house legal departments and notaries, combining research, drafting and document work with case files and client collaboration.
Ordered by how closely the graded profiles match across the 15 capability axes, inside the same categories. See how each axis is graded in the methodology.
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.
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.
Agents do the work end to end. A request arrives by email or chat, an agent identifies the task, runs it against the team's playbook, and either sends the result back or holds it for review. Flank Record agents file each executed contract at signature, extract its key terms and keep the estate current under a human supervisor.
In negotiation, agents handle objections on the customer's own paper in three modes. They can reject a counterparty change with a comment, layer a new tracked change over it so the trail stays visible, or leave it and attach reasoning. Counter redlines with fallback language work beside any of the three.
Once a deployment is running, designated users create new agents and assign task types in the governance platform in minutes. The model is an agentic service: a forward deployed team turns the lawyers' unwritten rules into playbooks the agents follow, and no separate workflow tool or CLM interface is sold.
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.
Agents work from the customer's templates, playbooks and approved sources rather than from primary law. Research and Q&A answers draw on those approved sources. Review lists the checks it held with clause references, such as a liability cap at clause 11.2 or a silent rollover at 3.1, so the reviewer resolves flags instead of rereading the document. In drafting, anything the agent cannot resolve is highlighted rather than guessed.
Each agent is trained by the customer's own team, and every interaction can be tracked for accuracy. No measured error rate for drafts or redlines is given.
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.
The legal team decides which work agents take and how much runs unattended. Supervision thresholds are set by topic, uncertainty or counterparty ask, beside escalation rules and risk tolerances, and complex or high risk requests are escalated. Supervised output lands in a queue with the original request, the agent's reasoning and the draft, and the reviewer chooses approve and send, edit, or mark as resolved.
Every workflow launches fully supervised, and supervision is dialed back workflow by workflow as results build. The reviewer can be the team's own lawyers, a partner firm or Flank's commercial counsel. Every decision, edit and negotiation point is logged, each correction trains the agent for next time, and the customer's team keeps final authority over outcomes.
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.
Simmons & Simmons partner Lucy Shurwood says the firm's agents handle drafting, review and negotiation of NDAs, DPAs, service agreements and IMAs, and are live for its teams and its clients. A second customer quote, signed Andy Perk, says NDAs and vendor agreements now move with a speed the team did not expect.
Drafting agents have run in production at a global hospitality group since 2025, a second global hotel group runs its franchise packs on them, and a major international law firm runs four drafting workflows. A supervised request takes five minutes of a lawyer's time instead of sixty, by Flank's figure. None of these figures is tied to a named customer.
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 stays in a dedicated regional tenant on Google Cloud or Azure, never trains any model, and sits under zero data retention at the model providers. The data processing addendum of March 2026 names OpenAI, Anthropic, Google Cloud and Azure OpenAI as processors of model calls, with executed standard contractual clauses for three of them. It provides for deletion on termination and on the customer's instruction.
Privilege and work product are not addressed, for a product that drafts and negotiates on the customer's behalf and that law firms run for their clients.
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.
Agents answer legal and policy questions from HR, procurement and other business teams directly, in email and chat, and Simmons & Simmons runs the agents for its clients. Flank's FAQ leaves final authority with the customer's team, with Flank supplying supervision controls, auditability and policy enforcement. No terms of service are published, and nothing tells a business user that an agent's answer is not legal advice. Jurisdiction limits are not stated.
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.
ISO 42001 certification, number AIMS-LE-103025, covers an AI management system that the trust center describes as governing legal, safety and fairness considerations in building and running the AI features. An LLM FAQ on data handling, prompt injection controls, training assurances and ethical use is released on request.
Agent configurations live in a governance platform where designated users create agents, assign task types and manage settings, and every agent action is logged. The company has also formed an advisory board, The Orchestration Layer. No accountable owner or test results for agent output are named.
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 data processing addendum commits to secure deletion after termination unless a retention duty applies, to correction or deletion on instruction, and to written notice within 24 hours of a personal data breach. Clause 9.3 names six subprocessors with locations, and a new or replaced subprocessor comes with written notice and two weeks to object.
Access is role based, with single sign on and audit logs. Trust center controls, monitored through Secureframe, include restricted access to customer data, user access reviews, a tested incident response plan and a data retention and disposal policy. The product privacy policy, effective 17 March 2026, keeps data only as long as its purposes require, though its update notice says the revision added specific retention periods.
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.
No customer agreement is published. The site's legal set is the data processing addendum, an Impressum and three privacy notices, and the addendum carries no indemnity, liability cap or warranty on output, its terms running to data protection alone.
Agents send finished NDAs and negotiated positions to counterparties within the customer's thresholds. Nothing states whether Flank stands behind an agent acting inside them.
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.
Agents work in the channels the business already uses: an Outlook inbox, Teams, Slack, forms, an intranet portal or the agent's own URL. CLMs, Jira and Salesforce are named among the tools agents work beside, without custom integration projects. In email, the agent reads the request, does the work and replies in the same thread with the draft attached. Flank Record answers questions in Teams, Slack or email, filtered to what the asker's role can see, and admins can browse the record in its own app.
A forward deployed engineer handles complex integrations. No developer documentation sets out what moves between Flank and a CLM or Salesforce.
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.
Each customer gets a dedicated tenant in its chosen region on Google Cloud or Azure. Clause 8.1 of the data processing addendum bars Flank and its subprocessors from processing personal data outside the EEA and UK without the customer's prior written consent.
Hosting and model processing are listed separately in the addendum's subprocessor clause. Google Cloud is EU for hosting and global for model calls, and MongoDB and Mailgun run in the EU. Azure OpenAI runs in eight regions across Europe, North America and Japan, including Amsterdam, Sweden Central, Switzerland North and UK South. OpenAI and Anthropic process in the United States under executed standard contractual clauses.
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, ISO 42001, GDPR, CCPA and PDPL badges sit on the home page. The trust center at trust.flank.ai, run on Secureframe, releases the SOC 2 Type 2 report, the ISO 42001 certificate AIMS-LE-103025, the LLM FAQ and a penetration test remediation report through request buttons. It shows live controls across change management, availability, access, incident response, vendor risk and network security. No audit period or auditor appears on the open page.
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.
Clause 9.3 of the data processing addendum names OpenAI and Anthropic as model providers in the United States, Google Cloud Platform as global for model calls and Azure OpenAI across eight regions. The trust center marks Google Cloud, Anthropic and OpenAI as model providers. A new or replaced subprocessor comes with written notice and a two week objection window, and clause 12.4 lets Flank update the list by publication where the law or a listed reason requires. Which model handles which task is not stated.
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.
Pricing follows outcomes rather than seats, and the customer starts paying when the agents start delivering. Implementation is scoped in forward deployed engineering days per use case and fixed in a signed Agent Design Document before work begins, so the services bill is set in advance.
A deployment runs two weeks of discovery and design and two weeks of playbook engineering, then goes live in week five on one document type in one region, fully supervised. Flank Record needs roughly three months of upfront ingestion of the back catalog, and new customers join a waitlist. No figure is published, and the route in is a demo.
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.
The buyer is the enterprise in house legal team, with a law firm offering that runs a firm's non billable drafting from its own precedents and packages the same agents as a client service. Seven task types are offered: triage and routing, third party review with redlines, drafting from templates, objection handling on the customer's own paper, research and Q&A from approved sources, custom prompts and bespoke workflows.
Templates named include NDAs, MSAs, DPAs, statements of work, term sheets and franchise agreements, and the deepest drafting deployment runs franchise packs for global hotel groups. A first deployment covers one document type in one region. No contract type, jurisdiction or company size is named as out of scope.
4 public documents
The public pages on file for Flank, 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.
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flank.ai5 signals
Client Data in Training, Ethical Walls and Matter Segregation, Refusal and Uncertainty Behavior and 2 more
Read Oct 12, 2026
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flank.ai/legals/dpa2 signals
Third Party Request and Subpoena Notice, Outside Counsel Guideline Readiness
Read Oct 12, 2026
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flank.ai/legals/privacy-policy1 signal
Prompt and Output Retention
Read Oct 12, 2026
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Fabricated Citation Record
Read Oct 12, 2026
Legal Signals
What each signal meansA 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.
Client Data in Training
Can material a lawyer puts into this product be used to train a model?
A public policy or trust page states no training on customer content, with no matching term located in the published agreement.
Customer data never trains any model, according to the home page, and the legal front door page repeats no training. No contract term says so. The data processing addendum of March 2026 confines processing to the customer's documented instructions without naming training, and the customer agreement is not published. An LLM FAQ covering training assurances is released through the trust center on request.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
Retention is acknowledged in public materials with no stated period.
The product privacy policy, effective 17 March 2026, keeps data only as long as its purposes or the law require, then deletes or anonymizes it, with earlier deletion on request under the data processing addendum. Zero data retention applies at the model providers. Flank Record keeps a current record of every executed contract by design.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
The product maintains its own permission model, documented, requiring the firm to keep it aligned.
Each customer has a dedicated regional tenant. Inside it, role based access, single sign on with all major identity providers and audit logs are included, and Flank Record answers each question filtered to what the asker's role can see. Walls between matters inside one tenant, including for a law firm running the agents for clients, are not described.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
Terms commit to notice where lawfully permitted. No transparency report located.
Clause 12.1 of the data processing addendum requires Flank to tell the customer without undue delay if its data is endangered by seizure, attachment or other third party measures. Clause 3.1 requires notice before any processing the law compels outside the customer's instructions, where notice is permitted. The product privacy policy allows disclosure in response to valid requests from courts or government agencies. No transparency report is offered.
Primary Law Corpus Provenance
Where does the law in this product come from, and does the vendor have the right to use it?
No located public material identifies the corpus behind the product’s answers.
Agents draft, review and answer from the customer's own templates, playbooks, policies and approved sources. No primary law source or license is named.
Good Law Verification
Does the product tell you when the authority it just cited has been overruled?
No located public material addresses whether authority is checked for subsequent history.
Output is contract drafts, redlines, negotiation positions and answers drawn from the customer's own material. No citation status check is part of the product.
Refusal and Uncertainty Behavior
What does the product do when the answer is not in the corpus?
The vendor describes refusal or abstention behavior in public materials.
Agents apply the customer's escalation rules, risk tolerances and thresholds by topic, uncertainty or counterparty ask, and hold anything outside them for review. In drafting, everything the agent could not resolve is highlighted rather than guessed, so the lawyer resolves the flags instead of rereading the document.
Fabricated Citation Record
Does a public court record exist addressing fabricated or hallucinated legal citations in output from this product?
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 AI Hallucination Cases database maintained by Damien Charlotin, which records court decisions worldwide that address hallucinated AI content and the tool involved where known, has no entry naming Flank or Legal OS GmbH. Its agents draft and negotiate contracts for enterprise legal teams.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
No located public material engages with bar or ethics guidance.
Professional responsibility appears as the customer's final authority over outcomes and the supervision controls around it. No public material engages ABA Formal Opinion 512, a European bar rule or other ethics guidance.
Billing and Fee Posture
Does the vendor address what happens to the bill when the work takes an hour instead of six?
Public materials claim time savings without addressing billing or disclosure, and the product sits inside a fee relationship between a lawyer and a client where those savings would change the bill.
Flank sells supervised agents to in house legal teams and, through a law firm offering, to firms for client drafting they cannot bill for, so that associates and paralegals return to chargeable work. Simmons & Simmons, its partner, says the agents are live for its teams and its clients. The home page puts a supervised request at five minutes of a lawyer's time rather than sixty. Every agent decision, edit and negotiation point is logged in an audit trail.
No per matter record of AI assisted work for fee purposes is described, and no guidance on fee or disclosure treatment is published.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
A subprocessor and model provider list plus client facing disclosure material is published or available without an agreement in place.
Clause 9.3 of the data processing addendum lists Google Cloud Platform, MongoDB, Mailgun, Azure OpenAI in eight regions, OpenAI and Anthropic. Three carry executed standard contractual clauses, and changes come with a two week objection window. The trust center repeats the list and marks each model provider. The addendum can be read in full without an agreement in place and is written for a customer to forward.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
Some elements of the record are available, short of a document level export.
Every agent decision, edit and negotiation point is logged, and the supervision queue keeps each request with the agent's reasoning and the reviewer's action. Model names do not appear in that record, and no export for a court filing is offered.