L
Legl
Legl is a client onboarding, anti money laundering and payments platform for law firms, operated by The Justice Platform Ltd of London and used by more than 600 firms in the United Kingdom and Australia. It covers onboarding workflows, due diligence on individuals and businesses, source of funds, digitized risk assessments, ongoing monitoring and client payments, with a compliance dashboard for money laundering reporting officers.
Its AI layer, Risk Agents, is one of three platform pillars. The agents gather and parse documents, structure screening data, and go back to the client for missing information. They read bank statements for income, large single payments and higher risk activity, and analyze trust deeds for trustees, settlors and beneficiaries. Screening matches come with a recommendation, a confidence level and supporting evidence. A governance layer turns a firm's risk policies into rules the agents enforce, escalating high risk factors to a named reviewer, and the vendor states the decision stays with the reviewer.
Legl is on the UK Digital Verification Services register, holds ISO/IEC 27001 certification, and publishes a dated list of sixteen subprocessors. It integrates with iManage, NetDocuments, Clio, Elite 3E and UK practice systems. Named users include Lewis Silkin and Michelmores.
Legl, 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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Similar is not the same, so check that each one does the job you need. No vendor pays for placement.
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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.
Risk Agents is one of three items under Platform on Legl's site, alongside the Governance Layer and Integrations, and sits above the six solution modules rather than inside one of them. The agents are described as working across the client lifecycle. They research and structure screening matches, triage ongoing monitoring alerts, read bank statements for source of funds, analyze trust deeds for trustees, settlors and beneficiaries, fill in risk assessments automatically, and run remediation loops back to the client.
Screening and monitoring run continuously using the agents. Much of the platform does not depend on the AI. Client payments and reconciliation, digital onboarding workflows, company registry retrieval, electronic signature, dashboards and reporting all predate the agents and work without them. The file a firm needs for an SRA or MLR audit comes from the workflow and the audit trail rather than from the model. The AI removes manual effort from a compliance process that would still run without it.
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.
Screening matches are returned with a recommendation, a confidence level and the supporting evidence, so the reviewer sees what the model relied on rather than a bare conclusion. The underlying sources are named suppliers a firm can identify. In source of funds, the AI reads bank statements and surfaces income, large single payments, balance trends and higher risk activity. A mathematical validation step confirms the figures are consistent before they reach the reviewer, an arithmetic check on the model's output.
No accuracy figure, false positive or false negative rate, test set, evaluation or named failure mode is published, for a product whose core function is deciding whether a flagged record really is the firm's client. Legl's Terms of Use state that it makes no representations or warranties as to the truth, accuracy, quality or completeness of information provided with the services, while the product returns confidence levels and validated figures. The product does not cite legal authority.
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.
Screening, ongoing monitoring and remediation run continuously, and clients are screened again daily. The agents gather and parse documents, research and structure data, read bank statements, analyze trust deeds, and run remediation loops directly with the firm's client. The governance layer turns the firm's own risk policies into Risk Rules the agents enforce, and administrators set screening firm wide, choosing categories, PEP seniority levels, source jurisdictions, search breadth and matching sensitivity.
Matches come with a recommendation, a confidence level and the supporting evidence. The compliance dashboard gives a view across the firm with downloadable reports, decisions and overrides are recorded with their reasoning, confirmed false positives can be whitelisted, and a weekly summary reaches the MLRO. Legl states that agents flag discrepancies and nonconformity for human attention and that the decision stays with the reviewer.
High risk factors escalate automatically by email to the MLRO or nominated reviewers, alerts can be assigned to a named reviewer, and reassessment dates are set by risk level. Agents gather, research and structure; people decide.
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.
Named firms include Lewis Silkin, Michelmores, Stephens Scown, Taylor Rose, Cripps, gunnercooke, Tollers, Wilkes, Blacks, Higgs, Woodstock, Wolferstans, Hall Brown Family Law, Harold Benjamin, Burnett and Reid, Robertsons, Sharmans and Laytons ETL. Testimonials carry full names and job titles. They include Helen Strachan, Practice Director and MLRO at Burnett and Reid; Shivani Patel, Compliance Supervisor at gunnercooke; and Guy Hurst, Compliance Manager at Wilkes.
Will Taylor, CFO and COO at Hall Brown, Natasha Boyland of Woodstock and Simon Bagshaw of Tollers are also quoted. Customers state two figures. At gunnercooke, half of due diligence requests were completed within 24 hours of being sent. At Sharmans, three risk assessments took about twenty minutes against roughly an hour for one under the previous system. Both sit in testimonials with no method, sample, baseline date or independent basis, and only the Sharmans figure compares before and after.
The adoption count differs between pages: Legl's marketing site says more than 600 law firms, while its trust center description says more than 400, including 40 of the top 200.
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.
The only agreement on Legl's site is the Terms of Use, which by its own first clause governs the individual submitting a payment or completing a workflow, not the law firm. The subprocessor policy refers throughout to the Legl Services Agreement and takes its undefined terms from it, but that agreement is not published, so the confidentiality obligations, data handling terms and security commitments that would bind Legl to the firm cannot be read.
The biometric commitment is specific. Neither Legl nor the firm ever receives the biometric identifier generated from the client's images; the provider holds it only until Legl says it is no longer needed; and Legl states it does not use, disclose or retain biometric information for any other commercial purpose. Data is destroyed on the firm's request or when processing is no longer needed, and contractual safeguards bind all sixteen subprocessors, including confidentiality for their personnel and prompt breach notification.
Privilege and work product are not mentioned. The product holds client identity and source of funds material rather than matter files.
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.
Legl's Terms of Use state that nothing in the Legl Services, or in emails Legl sends on the law firm's behalf, is or should be construed as legal advice. They state separately that the individual's use of the service does not determine whether they are a client of the firm, with contractual arrangements to be made directly. Both are directed at the firm's client, which fits a platform that communicates with clients under the firm's brand, and the second makes clear where the retainer sits.
The product is built around the firm's own regulatory obligations, with MLRO dashboards, defensible records of how each client was assessed and why, and reporting ready for audit. Nothing addresses professional responsibility in the firm's use of the AI: no conduct rule or regulator is named, nothing covers supervision obligations when an agent acts, and nothing states what a firm must still do itself to meet its duties. A due diligence platform produces no legal work product.
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.
No AI policy, responsible AI or ethics statement, governance framework, or bias or fairness discussion is published on the Risk Agents page, the KYC, KYB and AML page, the pricing page, the Terms of Use, the subprocessor policy, the trust center entry page or the site footer. No ISO 42001 or NIST AI RMF alignment, named internal owner for AI decisions, model evaluation or testing description, or AI provision in any published agreement appears there either.
Legl markets its agents as auditable and sells a governance layer to firms, applied to the customer's risk policy rather than to Legl's own models. The platform also runs biometric identity verification and AI risk scoring on individuals whose onboarding depends on the result, and nothing published addresses fairness, error rates across populations, testing, or what recourse an individual has when a check goes against them. The ISO/IEC 27001 certification covers information security, not AI governance.
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 subprocessor policy describes a commercially reasonable selection process evaluating security, privacy and confidentiality practices. Subprocessors must meet obligations equivalent to Legl's own: processing only on documented controller instructions, using personnel bound to confidentiality, training staff, maintaining technical and organizational measures, promptly reporting any breach, and cooperating with controller, data subject and regulator requests.
Biometric handling is specific and restrictive, and destruction follows the firm's request or the end of the processing need. No published page states how client documents, bank statements or trust deeds are handled once an agent has read them, or whether anything is retained. Nothing says whether client content is kept apart from model operations, or what happens to material a remediation loop collects. No commitment specific to AI is published.
The one improvement right in the published Terms covers deidentified device and system telemetry, not client content. The Legl Services Agreement, where data use terms would sit, is named but not published.
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 subprocessor policy twice names the Legl Services Agreement as the instrument governing the client relationship. That agreement is not published; Legl's legal footer carries only the Terms of Use, website terms, privacy policy and a trust center link, so what warranty, cap, indemnity, service level or remedy a firm would have cannot be read before purchase. The published Terms of Use exclude liability. Use is as is and as available, at the user's sole risk.
Legl makes no representations or warranties as to the truth, accuracy, quality or completeness of information provided with the services, and excludes all other conditions, guarantees and implied or statutory warranties. It accepts no liability for loss or damage from use of the services and disclaims responsibility for any third party service provider. As a data processor, it states, it is not liable to the individual for acts or omissions on their personal data.
The only indemnities run from the user to Legl. No cap figure, uptime commitment, service credit, cure period or right to terminate for degraded service is published.
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.
Ten named systems appear on Legl's product pages, all practice systems rather than general business tools. They are iManage and NetDocuments for document management; Clio Manage and Clio Operate, the latter named as Sharedo; Elite 3E for finance and practice management; Litera Foundation 365, named as Peppermint; Unity Practice Management, named as NebuLAW; Quill; Proclaim, named as DPS; and Partner for Windows. The former names help a UK firm that knows several of these products by the older brand.
The set spans the two major document management systems, a major international finance platform and four practice systems specific to the UK. The product pages do not describe the depth of each connection: nothing states whether the integration writes back, what triggers a sync, whether an API is public, or what a firm must build.
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.
Neither tenancy nor data location is stated. The subprocessor policy names the infrastructure suppliers, Amazon Web Services EMEA, Heroku, Microsoft Ireland Operations and Snowflake, and the corporate entities named are European. That identifies who hosts, not where the data sits. No data center location, region, residency option or residency commitment is published, and an Irish or Luxembourg contracting entity says nothing about storage location.
Nothing states whether the service is single tenant, pooled or configurable, and no separation model is described beyond screening configuration changes applying firm wide. The nearest thing to a residency term is in the consumer Terms of Use, which bar the individual from using the services outside the United Kingdom where that would require Legl or its providers to store data in that jurisdiction without prior written consent.
That restricts the user rather than committing the vendor. Legl runs a separate Australian site, with no second region described. No self hosted or private deployment option is published.
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.
Legl publishes its ISO/IEC 27001 certificate number, 0174467, in the footer of every page, a number that can be taken to the certification body. It is listed under its registered name, The Justice Platform Ltd, on the UK government's Digital Verification Services register, which the Office for Digital Identities and Attributes maintains, and is a certified Identity Service Provider against the Digital Identity and Attributes Trust Framework.
A government register entry can be checked entirely independently of the vendor. A trust center sits at a subdomain on Vanta's European instance, linked from the site footer as Security. No certification body or auditor is named, no validity window is given, no certificate document is published on the main site, and no SOC 2 report for Legl itself is published. Certifications named for subprocessors and payment partners belong to those companies.
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.
The subprocessor policy names sixteen suppliers as at 3 June 2025, each with its processing activity. It describes due diligence and contractual safeguards, notice of changes by email or in the customer's own environment, and a ten day objection window. A dated update log explains why Mitek Systems and Dun and Bradstreet were added in July 2024. No model or model provider appears in it. The list covers cloud and data infrastructure (Amazon Web Services, Heroku, Microsoft Ireland, Snowflake and Fivetran), identity and data suppliers (ComplyAdvantage, Equifax, Entrust Identity, Mitek, Creditsafe, Dun and Bradstreet and TrueLayer), and tooling (Datadog, Sentry, HelloSign and an email provider).
None is a foundation model provider, and no page names a model, version or family, or states that the models are built in house. The agents read bank statements and analyze trust deeds, and nothing published says whose model processes a client's financial documents. The cloud providers show where the software runs, not which model runs on it.
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.
The charging model is published and no price is. Pricing is modular: the firm chooses the modules it needs and pays only for what it uses. Billing is monthly and described as predictable, there are no implementation fees, and there is no long term lock in. A named customer contrasts this with competitors requiring fixed contracts of up to 36 months and usage forecasts. ROI reporting and insights on cost savings are offered as part of the product.
No price per module, check, seat or firm, volume band, minimum, term length or currency is published. The page carries no plan table, and the only route to a number is booking a demo. The page is titled transparent, value based pricing, and its meta description promises a transparent pricing structure with no surprises.
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.
Every solution page addresses law firms, the named customers are all law firms, and the roles quoted are legal compliance roles. Customers range from national and international names such as Lewis Silkin and Michelmores, through regional practices including Stephens Scown, Cripps, Tollers and Wilkes, to gunnercooke with its alternative structure, Burnett and Reid in Scotland, and specialist family practices including Hall Brown.
The trust center description claims forty of the top two hundred. The product addresses one workflow, client onboarding and anti money laundering diligence with payments attached, and applies it the same way whatever the matter. No breakdown by practice area or matter type, and no configuration for particular areas, is published beyond risk assessment templates a firm builds to its own policy. The regulatory frame rests on the SRA, the Money Laundering Regulations, HM Land Registry expectations, the DVS register and the Digital Identity and Attributes Trust Framework. A separate Australian site is the only other market.
No published figure
- Legl publishes how it charges but not what it charges. Pricing is modular, so a firm buys only the modules it needs and pays for what it uses, billed monthly, with no implementation fee and no long term contract. No price per module, per check or per seat, volume band, minimum or term is published. The only route to a number is booking a demo.
Legl's pricing page states that pricing is modular, with the firm choosing the modules it needs and paying only for what it uses. Billing is monthly and described as predictable, there are no implementation fees, and there is no long term lock in. The Operations Director at Harold Benjamin contrasts this with competitors requiring fixed contracts of up to 36 months and usage forecasts, with higher charges for overuse, a comparative marketing claim rather than a term.
No rate per module, check, seat or firm, volume band, minimum commitment, contract term or currency is published on the pricing page, the Terms of Use, the Risk Agents page, the KYC, KYB and AML page or the subprocessor policy, and the pricing page carries no plan table. The route to a price is a demo booking. The page is headed transparent, value based pricing, and its meta description promises a transparent pricing structure with no surprises.
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?
No customer agreement, terms of service or equivalent contract is published on any surface located, and no policy page states a position on training. Nothing is granted and nothing is withheld, so a client has no term to hold the firm to. Where a policy page does state a position, the row takes the matching policy value instead and the summary records that no agreement exists.
The subprocessor policy twice names the Legl Services Agreement, stating that Legl engages subprocessors as described in it and that undefined terms take their meaning from it. That agreement is not published; Legl's legal footer carries only the Terms of Use, website terms, privacy policy and a trust center link. The Terms of Use govern the individual submitting a payment or completing a workflow, not the law firm. Their one improvement right lets Legl collect technical data about the user's device, system and application software and use it, in a form that does not identify the user, to improve products or provide services.
That covers device telemetry rather than client content, and does not name machine learning, training or model improvement. Nothing on the product pages, the Risk Agents page or the subprocessor policy says whether client documents, bank statements or screening data train or refine the agents.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
No located public material states how long prompts and outputs are retained.
A general destruction obligation sits in Legl's Terms of Use. On the law firm's request, or when Legl or its providers no longer need to process the personal data, whichever is earlier, Legl will stop all use and destroy it, subject to any legal retention requirement. That covers the individual's personal data at the workflow level and carries no period, outer limit or trigger. Nothing in the Terms of Use, the subprocessor policy, the Risk Agents page, the KYC, KYB and AML page or the pricing page addresses the AI layer: none states whether a bank statement or trust deed persists after an agent has read it, whether an analysis's structured output is kept apart from the report, or how long screening research and alert triage are kept.
The biometric identifier is the one item with a described lifecycle, held by the third party provider until Legl says it is no longer needed, which is a condition rather than a period. The Legl Services Agreement, where a retention schedule would sit, is not published.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
Segregation is asserted in public materials with no published detail on how it is enforced.
Legl's published access controls work by role. Administrators control screening configuration and changes apply firm wide, monitoring alerts can be assigned to a named reviewer, and high risk escalations route by email to the MLRO or other nominated reviewers. The compliance dashboard is presented as a view across the firm for the compliance function. No page describes how one firm's data is separated from another's, or partitioning between teams or departments inside a single firm.
Nothing states whether a conflicted fee earner can be excluded from a client's file, or whether the risk agents are scoped to the requesting user's permissions when they research a match or read a document. Legl integrates with iManage and NetDocuments for other functions, and no document management access list is inherited for this purpose. The product holds counterparty identity material in transactional work.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
Published terms or policy address disclosure to authorities or in response to legal process, and no commitment or reservation regarding customer notice is located anywhere. The vendor has told the customer that data can leave and has said nothing about whether the customer hears of it.
Disclosure is addressed twice in Legl's Terms of Use, and neither provision commits to notice. On compelled disclosure, Legl will not pass personal data to third parties except under its privacy policy or where required by law, with no undertaking to tell the firm or the individual. The second provision reserves more. Where Legl suspects fraudulent, criminal or improper activity through the payment system, it may report or disclose information about the user to law enforcement, at its sole discretion and without notice.
Proactive fraud reporting differs from a compelled government demand, and neither carries a notification commitment. No challenge undertaking, minimization term, record keeping obligation or transparency report is published. The agreement with the firm, which might treat this differently, is not published.
Primary Law Corpus Provenance
Where does the law in this product come from, and does the vendor have the right to use it?
Sources are identified without stating the license or rights basis.
The subprocessor policy identifies sixteen suppliers as at 3 June 2025 with the processing activity of each. ComplyAdvantage supplies screening; Equifax, Entrust Identity and Mitek Systems supply identity verification; Creditsafe and Dun and Bradstreet supply business data; and TrueLayer supplies account information services. Payment partners Adyen, Stripe and Banked are identified separately with their regulatory status.
The Terms of Use add that uploaded information is disclosed to Equifax as a credit reference agency, and link the standard CRAIN notice explaining how credit reference agencies process the data. No license terms passed down to customers, conditions of permitted use, territorial restrictions or intellectual property provisions for any supplier are published. The subprocessor policy states that it grants clients no additional rights or remedies and is not a binding agreement. Nothing states what the risk agents were trained on.
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.
No citator ships with the product, and no claim about good law is made. Nothing it produces cites legal authority: the outputs are due diligence reports, screening results, company structure reports, source of funds analyses and risk assessments. The currency that matters here is that of reference data. Clients are screened again daily against sanctions and PEP lists, and business clients are monitored for changes in ownership, structure, finances and legal proceedings.
Refusal and Uncertainty Behavior
What does the product do when the answer is not in the corpus?
The product exposes a confidence or grounding score without an explicit abstention path.
Screening matches assisted by AI are returned with a recommendation, a confidence level and the supporting evidence. Legl describes the agents as weighing the evidence and signaling whether a flagged record really is the firm's client, with the decision remaining with the reviewer. The agents also identify high likelihood matches among monitoring alerts, and flag discrepancies and nonconformity with the firm's risk policies for human attention.
No threshold is stated at which the system declines to recommend, abstains or escalates on uncertainty as opposed to risk level. Nothing describes what an agent does with a document it cannot parse or a statement it cannot reconcile, and no refusal or abstention policy is published. The mathematical validation step confirming source of funds figures before they reach the reviewer is an output check, and nothing says what happens when the check fails.
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 records no case naming Legl or The Justice Platform Ltd. Sanctions reporting drawn from it, which covers more than 650 documented instances across multiple jurisdictions including the English decisions in Ayinde and Al-Haroun, does not name Legl either. The platform produces due diligence reports, screening results and risk assessments and generates no citations to legal authority. This is a statement about the public record rather than a finding about the product.
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.
Legl is listed on the UK government's Digital Verification Services register and certified as an Identity Service Provider against the Digital Identity and Attributes Trust Framework. The product is built around the firm's obligations under the Money Laundering Regulations, with MLRO dashboards, escalation paths and a defensible record of how each client was assessed and why. Its payment partners are identified with their Financial Conduct Authority regulatory status.
No bar, law society or regulator guidance on the use of artificial intelligence is named, mapped or referenced. Nothing addresses a firm's own obligations when an autonomous agent gathers evidence, scores a client's risk or corresponds with that client on the firm's behalf, though the product runs remediation loops directly with the firm's client under the firm's brand.
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.
Customers state the time savings. At gunnercooke, half of due diligence requests were completed within 24 hours of being sent. At Sharmans, three risk assessments took about twenty minutes against roughly an hour for one previously. Legl also offers ROI reporting and insights on cost savings as part of the product. Nothing addresses what happens to a client bill when compliance work that took an hour takes twenty minutes, no per matter record of AI assisted work is described, and no guidance on fee or disclosure treatment is offered.
The savings fall in the firm's internal compliance overhead rather than billable client work, and compliance time is often absorbed rather than billed. Legl also sells a payments product handling client money and reconciliation, and no page addresses how the cost of checks or the saving from automation is reflected on a client account.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
A current subprocessor or model provider list is published.
Sixteen subprocessors are named as at 3 June 2025, each with its processing activity, published openly rather than on request. The policy describes due diligence, contractual safeguards that pass equivalent obligations down to each supplier, and change notification by email or within the customer's own Legl environment. Customers have a ten calendar day objection window with a right to state reasons, and a dated update log records the July 2024 additions of Mitek Systems and Dun and Bradstreet with the reason for each.
The Terms of Use are written for the individual being verified, name the workflow providers, explain the biometric handling and link the industry CRAIN notice, so they can be forwarded to clients. No foundation model provider appears among the sixteen, no model is named, and nothing states that the agents run on Legl's own infrastructure. Amazon Web Services, Microsoft Ireland and Snowflake show where software runs, not whose model reads a client's bank statement, and a firm asked that question by a client could not answer it from what is published.
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.
Legl offers a defensible record of how each client was assessed and why, a compliance dashboard covering CDD, AML and audit history for every individual and business client, and downloadable reports for internal review or audit preparation. Flagged contacts can be exported as CSV for regulatory or internal reporting, decisions and overrides are recorded with their reasoning, and the vendor describes the audit trail as building itself as each step is recorded.
The intended reader is an SRA inspector or an MLRO preparing for one rather than a court. The vendor calls the layer auditable AI risk agents. No page describes what an agent's entry in the audit trail contains, whether the record distinguishes a conclusion an agent reached from one a reviewer reached, or whether a firm could show which parts of an assessment were automated.