Go to Trial AI - TrialView AI Labs

Not every AI is the same. And when you're running an AI query in your litigation case, you need to be absolutely sure the most relevant, crucial information is hitting the surface. This is a huge challenge, especially when you factor in the scale of many trials.

Dispute resolution often involves tens of thousands of documents, and this massive volume of data makes analysis using traditional, manual methods virtually impossible. Attempting to manage an entire case file without an AI tool like TrialView is an avoidable challenge that can lead directly to missing key evidence, making conclusions that cannot be supported, and leaving your team’s strategy vulnerable in court. 

Given the complexity and scale of modern cases, platforms like TrialView are no longer optional if law firms want to stay ahead of their competition.

Reliable legal document intelligence at scale

TrialView is specifically engineered to answer legal questions with precision, even across large document collections. It mitigates the risks found in legacy methods by carefully controlling what information the AI sees and how it reasons through a powerful, multi-step process:‍

1. ‍Broad semantic retrieval
   Rather than just selecting a handful of documents that it identifies as the most relevant, TrialView actually searches across all of your documents to identify semantically relevant fragments and document-level candidates. 
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2. Parallel relevance evaluation
   Multiple AI processes review and rank candidate materials in parallel, improving recall while reducing the risk that critical evidence is overlooked.
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3. Deep contextual reading
   High-value documents are read in full (or near full), ensuring that nuance, chronology, and internal consistency are preserved.
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4. Grounded answer synthesis
   Relevant content is collated into a single evidence-backed context. TrialView generates answers derived solely from this material, with precise citations linking directly to the exact document locations used.

Our core advantages

This methodology provides the AI quality that legal teams need to succeed:

Grounded answers by design
Every single answer is explicitly supported by the source documents, meaning there are no uncited assertions.

Precise, verifiable citations
The citations are precise and they link directly to the specific passage used, allowing immediate inspection and auditing for defence.

Continuous accuracy evaluation
TrialView undergoes continuous improvement, running internal benchmarks that measure:Citation relevance: 94% of citations are highly relevant to the user’s question.Citation support strength: 84% of citations strongly support the associated claims.

Hallucination risk minimised structurally
Rather than relying on post-hoc filtering, TrialView constrains answers to retrieved evidence and makes all sources visible. Unsupported claims are immediately detectable, dramatically reducing operational risk.

The Result

TrialView empowers legal professionals to find, understand, and defend answers drawn from vast document sets - a capability that far exceeds the limits of keyword search or conventional AI tools. Given the scale and complexity of modern litigation, integrating TrialView is not merely an advantage; it is the only path to comprehensive, verifiable, and defensible case analysis. In modern litigation, TrialView isn't a choice, it's a non-negotiable standard.