TrialView
AI dispute resolution platform covering the full lifecycle of a contested matter from bundle preparation through hearing presentation, used for litigation, arbitration, mediation, adjudication, tribunals, large investigations, regulatory hearings and statutory inquiries. The distinguishing design decision is that it brings law firms, barristers, judges and arbitral bodies into the same secure workspace rather than serving one side. Court bundle creation is automated with OCR, automatic date recognition, smart pagination, tabbing, bookmarking, indexing, dynamic cross referencing and automatically generated hyperlinked indexes, with built in court compliance checks and late insertion handling. AI case preparation builds automated hyperlinked timelines and chronologies backed to source documentation, detects patterns and inconsistencies across witness statements, depositions and communications, supports side by side comparison, and answers natural language questions over the document set returning sourced references. Witness statement preparation can record an interview, generate a speech to text transcript and convert it into a first draft statement with automatic hyperlinking to cited evidence. Hearing services combine evidence presentation synchronised across devices, integrated video conferencing for remote participation and breakout rooms, and real time transcription with live transcript mark up, annotation and highlighting, while the AI identifies material corroborating or undermining propositions as evidence surfaces. A legally qualified support team is stated to be available 24/7 through the dispute process. Widely used by courts across the UK and Ireland including the Commercial Court, the Business and Property Courts and the Technology and Construction Court, and a stated provider at the ICC, IAC and DDRC arbitral institutions. Used in high profile proceedings including the Russian Aviation litigation. Named Digital Evidence Management Software of the Year at the 2025 LegalTech Breakthrough Awards and recognised at The Lawyer Awards. Data is stored on cloud servers with user permissions and encryption stated as controls.
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.
The models run through the product without being the thing that makes it work. Strip the AI out and a complete trial platform remains: court compliant bundling with OCR, pagination, indexing and cross referencing, evidence presentation synchronised across devices, integrated video conferencing and real time transcription. Those are the capabilities courts actually buy it for and none of them requires a model. What the AI adds is genuine and spans the lifecycle rather than sitting in one module: timeline and chronology construction backed to source documents, pattern and inconsistency detection across witness statements and depositions, natural language question answering over the document set, transcript interrogation, and live identification during a hearing of material that corroborates or undermines a proposition. Same shape as Everlaw and Relativity, both B, where a mature platform hosts the model layer rather than depending on 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.
Grounding is claimed consistently and nothing behind it is published. The vendor states that question answering over the document set returns sourced references, that automated timelines are directly backed by source documentation, and that first draft witness statements carry automatic hyperlinking to cited evidence. Architecturally this is the easier case: the corpus is the closed case file rather than the law, so a citation resolves to a document a user already holds and can open, and the failure mode is misattribution rather than invention of authority. That distinction is credited here. What is absent: no accuracy figure for inconsistency detection, no precision or recall for pattern identification, no measure of timeline extraction fidelity, no hallucination statement, no evaluation, and no account of what the system does when it cannot support an answer from the file. Searched the home page, the AI litigation page, the case preparation page, the hearing services page, the case management page and the product overview on 29 Aug 2026. Inconsistency detection presented during a live hearing is a high consequence output and nothing published tells a barrister how often it is wrong.
Autonomy and Oversight Model
What the system decides on its own, what a lawyer must approve, and whether the vendor documents where the review point sits. A tool that drafts under review and a tool that files without one are different products and different risks.
The oversight is real but structural rather than stated. Output is consistently framed as suggestive rather than decisive: the AI identifies material that corroborates or undermines propositions, surfaces inconsistencies and proposes timelines, while the advocate marks up, annotates, tags and decides. Witness statement generation is explicitly a first draft. A legally qualified support team is stated to be available 24 hours a day through the dispute process, which is human oversight resourced with people who understand the work and is uncommon enough to name. Held at C because none of it is published as a model: no statement of where the system acts without review, no confidence indication, no escalation behaviour, and no description of what the AI does unattended during a live hearing while attention is on the witness. The naming of a first draft carries the assumption of review without ever stating it.
Operational and Outcome Evidence
Named, dated evidence that the product works in production at real firms or legal departments. Case studies with figures and identified customers count. Unattributed testimonials and launch announcements do not.
The strongest forum level adoption evidence in the litigation category and the third record in this pull with public authority adoption. Named UK courts: the Commercial Court, the Business and Property Courts and the Technology and Construction Court, with the vendor stating wide use across UK and Ireland courts. Named arbitral institutions: the ICC, the IAC and the DDRC, described as a trusted provider for connected hearing services in domestic and international arbitration. A named piece of litigation, the Russian Aviation litigation, plus large investigations, regulatory hearings and statutory inquiries. Independent recognition that is dated and checkable: Digital Evidence Management Software of the Year at the 2025 LegalTech Breakthrough Awards, and recognition at The Lawyer Awards. Held at B rather than A because no law firm or chambers is named, no usage volume is published, and no outcome measure of any kind exists: nothing on hearing time saved, bundle preparation time, or error reduction. The evidence establishes that serious forums use it, not what happens when they do.
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.
Access control is claimed and the hardest confidentiality question on this index is left unanswered. The vendor states user permissions and encryption, secure cloud storage, and the ability to collaborate selectively with colleagues, counsel, witnesses, solicitors, clients or third parties. Those are real controls and the sharing model is described in the right terms. The unanswered question is structural to the product: this platform deliberately brings law firms, barristers, judges and arbitral bodies into one workspace, and in a contested hearing that means opposing parties and the tribunal operating inside the same system. Nothing published describes how one side's privileged working materials, annotations, private mark up and preserved digital copy of proceedings are separated from the other side's or from the tribunal's. No treatment of legal professional privilege or work product was located. That is not a hypothetical concern for a product whose selling point is a shared workspace. Checked the home page, the case management page, the hearing services page, the case preparation page and the product overview on 29 Aug 2026.
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.
Not located. The product generates first draft witness statements from recorded interviews and produces analysis presented in live proceedings, and the buyer set includes judges and arbitral institutions as well as advocates. Nothing published addresses the professional responsibility framing of any of that: no statement on the advocate's duty to verify AI identified inconsistencies before putting them to a witness, no positioning on machine drafted witness evidence, and no engagement with Bar Council, Law Society, Law Society of Ireland or judicial guidance on AI in proceedings. Checked the home page, the AI litigation page, the case preparation page, the hearing services page and the product overview on 29 Aug 2026. The gap is notable because the vendor supplies both advocate and tribunal, which is exactly the configuration professional guidance addresses.
AI Governance and Bias Disclosure
Published governance over model behaviour: who owns it inside the vendor, what is tested before release, and what is disclosed about disparate output across matter types, parties, or populations.
Nothing published. No AI policy, no evaluation methodology, no bias or fairness assessment, no accuracy monitoring, no drift statement, no model card, no named governance body and no external standard such as ISO 42001. The specific risk left unaddressed: a system that flags inconsistencies in witness statements and identifies material undermining propositions is making adversarial judgements about credibility, and any systematic tendency in how it does that would operate inside live proceedings without anyone being able to inspect it. Checked the home page, the AI litigation page, the case preparation page, the case management page and the product overview on 29 Aug 2026.
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.
No AI specific stewardship position located. General platform controls are stated, being secure cloud storage, user permissions and encryption, and those are graded on the Security axis and not double counted here. What is missing is everything about the model layer: nothing states whether case documents, transcripts, witness interview recordings or hearing material are used to train or improve any model, how long AI generated output and queries persist, whether processing is segregated by matter, or what happens to a case file after proceedings conclude. This product ingests recorded witness interviews and complete litigation files, which is among the most sensitive content on this index, and the training and retention position is not published. Checked the home page, the case management page, the case preparation page, the hearing services page and the product overview on 29 Aug 2026.
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 published position located. Nothing was found on liability for AI output, warranty, indemnity, service levels or remedy. Two failure modes make the absence concrete rather than formal: an AI identified inconsistency that is wrong and gets put to a witness in cross examination, and a bundle compliance or pagination failure at hearing, since court compliant bundling is the operational spine of the product and a defective bundle has immediate consequences in front of a judge. No service level commitment was located for a platform used live in court. Checked the home page, the product overview, the case management page and the site navigation on 29 Aug 2026.
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.
Integration is real inside the hearing and absent outside it. Documented: an integrated video conferencing platform with breakout rooms, real time transcription feeds viewable in platform with AI transcript analysis over them, speech to text for witness interviews, and evidence presentation synchronised across multiple devices in the hearing room. Bringing a live transcript feed and evidence display into one synchronised environment is genuine integration work and is the core of what a hearing provider must do. What does not exist in public material: no named document management system, no practice management or case management integration, no ediscovery platform connector for matters where review happened elsewhere, and no API or export documentation beyond court compliant bundle output. A firm cannot tell how material reaches the platform from the systems where it already sits. Checked the hearing services page, the case management page, the case preparation page and the product overview on 29 Aug 2026.
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.
Cloud storage is stated and nothing else is. The vendor states that data is securely stored on cloud based servers accessible anywhere, which names no provider, no region and no residency commitment, and describes no single tenant, dedicated or on premise option. Residency is a live question for this product specifically: it serves UK and Irish courts and international arbitral institutions including the ICC, so material from proceedings in multiple jurisdictions sits in one platform under undisclosed geography, and a tribunal or a party may have residency requirements of its own. Checked the case management page, the home page, the hearing services page and the product overview on 29 Aug 2026. Correction candidate: the site links a dedicated security features page which was not read in this pass and may carry residency detail.
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.
Controls are claimed, a dedicated security page exists, and no certification was located. Published claims: secure cloud based servers, user permissions, encryption, and a secure workspace as the repeated framing across the site. The vendor maintains a distinct security features page linked from product pages, which is more than a passing mention and indicates deliberate attention to the topic. Searches on 29 Aug 2026 combining the vendor name with ISO 27001, SOC 2, Cyber Essentials and GDPR certification terms returned no certification, attestation, auditor or trust portal for this vendor. Held at C rather than D on an explicit and important limitation: the security features page itself was not read in this pass. Grading D would assert an absence on the one surface most likely to contradict it, which is the error pattern this pull has already corrected twenty five times. Flagged as a correction candidate in both directions, since reading that page could establish certifications that raise this grade or confirm their absence and lower it.
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.
Nothing located. No foundation model provider is named, no distinction is drawn between proprietary and third party models, no subprocessor list exists, and the transcription and speech to text capabilities are not attributed to any provider despite almost certainly involving one. The vendor refers to the latest AI capabilities and intelligent technology without identifying anything. For a platform used by courts and arbitral institutions, where a tribunal may need to know which parties processed evidence in a proceeding, the identity of the model and transcription providers is a question with procedural weight and it cannot be answered from public sources. Checked the home page, the AI litigation page, the case preparation page, the hearing services page and the product overview on 29 Aug 2026.
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.
No pricing at any level. No price, no range, no tier structure, and no unit of charge, which matters more than usual here because the plausible units are all different in kind: per matter, per hearing day, per user, per gigabyte of evidence, or per bundle. A litigation team cannot estimate the cost of a three week trial from anything published. Every route is a demo request. Independent software directories list pricing as available on request and carry no figure either. Checked the home page, the product overview and the site navigation on 29 Aug 2026. Common for hearing services providers and still an absence a buyer cannot work around.
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.
Forum coverage is stated with unusual specificity and the user types are enumerated honestly. Proceeding types named: litigation, arbitration, mediation, adjudication, conciliation, tribunals, depositions, large investigations, regulatory hearings and statutory inquiries. Named forums: the Commercial Court, the Business and Property Courts and the Technology and Construction Court in the UK, with stated wide use across UK and Ireland courts, plus the ICC, IAC and DDRC arbitral institutions and international arbitration generally. User types named: paralegals, partners, counsel, barristers, solicitors, arbitrators, judges and arbitral bodies, which is a genuinely wider set than any other record in this category addresses. Held at B rather than A because coverage is described rather than enumerated: no list of which courts have the platform available, no statement of jurisdictional limits outside the UK, Ireland and international arbitration, and no indication of whether the AI features are available in every forum or only in some.
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 located term or policy addresses the question either way.
Silent. The quoted phrase is the extent of the published data handling position and it describes access control and encryption, not model training. No statement in either direction was located on whether case documents, transcripts, witness interview recordings or hearing material are used to train or improve any model. The content at stake is unusually sensitive even for this index: complete litigation files, recorded witness interviews and live proceedings. Checked the home page, the case management page, the case preparation page, the hearing services page, the AI litigation page and the product overview on 29 Aug 2026. Recorded as silent, not as a negative commitment. Correction candidate: a dedicated security features page exists on the site and was not read in this pass.
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.
Not addressed. No retention period is published for AI queries over the document set, generated timelines, transcript analysis or draft witness statements, and nothing states what happens to a case workspace once proceedings conclude. Retention is a live question in this product's own terms: the vendor states that a user can preserve their own digital copy of proceedings, which is retention as a feature, and says nothing about the vendor side duration. Checked the case management page, the hearing services page, the case preparation page and the product overview on 29 Aug 2026.
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.
Claimed and not documented, and this is the most consequential instance of that value in the pull. The vendor states user permissions and secure sharing with colleagues, counsel, witnesses, solicitors, clients or any third party, so a permission model exists and is asserted. Nothing documents how it works. The product's defining feature is that law firms, barristers, judges and arbitral bodies share one workspace, which in a contested hearing means opposing parties and the tribunal inside the same platform, and no published material describes how one party's privileged annotations, private mark up and preserved copy of proceedings are walled from the other side or from the bench. No document management system exists to inherit permissions from, so a second model is the only available shape and its specification is not published. Checked the case management page, the hearing services page, the case preparation page and the product overview on 29 Aug 2026.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
No located term or policy addresses third party requests for customer data.
Not addressed. No government or law enforcement request clause, no commitment to notify a customer before producing their data, and no transparency report were located. The question has an unusual edge here because the vendor holds material from live proceedings for courts and arbitral institutions as well as for parties, so a request could arrive from a body that is also a customer. Checked the home page, the case management page, the product overview and the site navigation on 29 Aug 2026.
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.
Not addressed, and largely inapplicable in the usual sense. This product has no primary law corpus: the AI operates over the parties' own evidence, bundles, transcripts and witness statements rather than over published authority, so there is no external legal source to name, licence or date. The signal is recorded rather than skipped because the underlying question still has an answer here, which is what corpus the models were built or tuned on, and that is not published. Nothing states whether models are general purpose, trained on legal material, or tuned on prior customer matters, the last being the possibility that would matter most to a litigant. Checked the AI litigation page, the case preparation page, the case management page and the product overview on 29 Aug 2026.
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.
Not addressed, and inapplicable on the facts of the product. TrialView analyses the evidence in a case rather than researching the law, so there is no legal authority in its output for a citator to check and no treatment signal would have anything to operate on. Recorded rather than omitted so the absence is visible as a scope fact rather than read as a gap: a buyer comparing this record against a legal research product should understand that this row is empty because the product does not do that work, not because the vendor declined to document it. Checked the AI litigation page, the case preparation page and the product overview on 29 Aug 2026.
Refusal and Uncertainty Behaviour
What does the product do when the answer is not in the corpus?
No located public material addresses what the product does when it cannot ground an answer.
Not addressed. No explicit no answer path, abstention behaviour or confidence signal is documented for question answering over the document set, for inconsistency detection or for timeline construction. The consequence is specific to live proceedings: during a hearing the platform surfaces material said to corroborate or undermine a proposition in real time, and nothing published tells an advocate whether a weak match is presented with the same confidence as a strong one, or whether the system will decline to surface anything at all when the evidence does not support the proposition being tested. Checked the AI litigation page, the hearing services page, the case preparation page and the product overview on 29 Aug 2026.
Fabricated Citation Record
Does a public court record exist involving output from this product?
No court order, opinion or disciplinary record naming this product has been located as of the date shown. This is a statement about the public record, not a finding about the product.
None located, with the instrument named. General web searches combining the vendor name with court, judgment, order, sanction and fabricated evidence terms returned nothing on 29 Aug 2026. No named docket database or court record tracker was searched in the UK, Ireland or elsewhere. The exposure shape differs from a research product: this system does not generate citations to legal authority, so the classic fabricated case failure mode does not apply, and the analogous risk would be a mis-cited or misattributed document reference within a bundle. Recorded as a statement about what this search found, not as a clearance.
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.
Not addressed. No named guidance from the Bar Council, the Law Society, the Law Society of Ireland, the Bar of Ireland or any judicial practice direction on AI use in proceedings was located, and no ethics material of any kind appears on the surfaces a buyer would check. The absence is more visible than usual because the vendor supplies courts and arbitral institutions directly, and judicial guidance on AI in litigation is exactly the framework its own customers operate under. Checked the home page, the AI litigation page, the product overview and the site navigation on 29 Aug 2026.
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.
Savings claims only. The vendor states that the platform reduces administrative workload, cuts manual document preparation time, and allows teams to spend more time on case strategy and less on manual tasks, saving resources. Those describe the firm's own time and no figure is attached to any of them. Nothing appears on the client's side of the equation: no position on billing for AI assisted preparation, no time or audit record a firm could produce to a client, and no guidance on how machine assisted bundling or analysis should be recorded on a bill. Checked the case management page, the home page, the case preparation page and the product overview on 29 Aug 2026.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
No located public material supports a client side disclosure obligation.
Not addressed. No subprocessor list, no named model or transcription provider, no data processing agreement, no trust centre and no self serve documentation request route were located, so a firm has nothing it could forward to its own client. General claims of encryption and user permissions are not a forwardable disclosure. Checked the case management page, the home page, the product overview and the site navigation on 29 Aug 2026. Correction candidate: the dedicated security features page was not read in this pass and is the surface most likely to hold anything relevant.
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.
Partial record, and unusually well positioned on the source trail because the whole product is built around evidencing where things came from. Court compliant bundles carry automatic pagination, indexing, bookmarking, hyperlinked indexes and dynamic cross referencing, with built in compliance checks. Timelines are stated to be directly backed by source documentation, draft witness statements carry automatic hyperlinking to cited evidence, question answering returns sourced references, and a user can preserve their own annotated digital copy of proceedings. A party can show what a proposition rests on and where in the bundle it sits. What is missing is the AI specific limb a standing order on AI use would ask for: nothing records which outputs were machine generated, no model is named or logged against an output, and no human verification record is captured showing that an advocate checked an AI identified inconsistency before deploying it. The product evidences the documents thoroughly and evidences its own involvement not at all.