Logo

family law

“Automating the Writing of High Volume, Low Value, Legal Documents”

Actions Used:

🔍

Structure Extraction

Productivity
🎧

Audio Transcription

Communication
📋

Document Generation

Productivity
🔒

PII Obfuscation

Security
✅

Self-Validation

Analysis

Model Type:

Self-hosted for transcriptions, OpenAI for Document Writing with no PII

Problem

A UK-based law firm relies on witness statements to support applications for non-molestation, occupation, and legal-aid orders. These statements are generated from lengthy phone conversations with applicants and witnesses — often exceeding an hour — and manually written up by paralegals.

Each document takes up to three hours to draft, despite being sold onwards for a fixed, low fee. As a result, margins are compressed and output quality varies. Witness statements differ in structure and emphasis depending on the paralegal involved, introducing risk and inconsistency into a process that demands standardization and legal precision.

Simple Solution (Generic)

Use a speech-to-text model to transcribe the call, then apply a large language model to generate the witness statement.

However, this approach introduces substantial risks. The output is often inconsistent due to variability in call content and the non-deterministic nature of general-purpose models. Hallucinated details — content not present in the original conversation — are frequently introduced, undermining legal reliability. Most critically, using external models to process sensitive personal data creates regulatory exposure, directly contravening UK privacy laws.

These limitations render generic LLM-based solutions inadequate for use in a legal context.

Tromero's Solution

Private. Standardised. Verifiable

Tromero’s on-premise automation pipeline is purpose-built for legal workflows. It ensures consistency in structure, privacy compliance, and fidelity to source material.
1. Local Transcription and PII Removal
Accurate transcription and anonymisation, fully on-premise
Tromero transcribes call recordings using a local model. Personally identifiable information is automatically removed using a secondary, private LLM — allowing downstream processes to operate on redacted inputs without privacy risk.
Calls are transcribed and anonymised entirely within the firm’s infrastructure. No cloud access. No external APIs.
2. Structure Extraction from Prior Statements
Consistent formatting aligned with legal precedent
Tromero extracts a generalised structure from a curated set of prior witness statements. This structure is used to guide future generations, ensuring each output conforms to a legally sound, standardised format.
Statement structure is derived from internal precedent and applied uniformly, independent of paralegal or call variation.
3. Self-Validation and Source Conformity
Output constrained strictly to input content
To eliminate hallucinations, Tromero applies a self-reflective mechanism that cross-validates each generated statement against the original transcript. No information is included unless it is explicitly supported by the input.
Generated statements are traceable to the source audio. Unsupported content is flagged or excluded.

Outcome

All processing is conducted fully on-premise, preserving privacy and legal compliance.