LegalDocs Assist
What is LegalDocs Assist?
LegalDocs Assist is a UK AI platform for credit hire and personal-injury legal teams. It generates court-ready, CPR Part 32 compliant witness statements and supporting documents from the case file in front of the fee-earner, with citations and locality evidence drawn from a curated knowledge base of 210 UK authorities across five practice areas.
Who it is for
Claimant law firms and personal-injury teams handling RTA, housing disrepair and clinical negligence claims.
Built by people in the work
The people behind CaseFlow
Chris Latham
Founder
25+ years in UK motor claims and credit hire. Oxford AI Programme; ex-Group Operations Director at Kindertons.
Craig Budsworth
Co-founder
Former Chair of MASS and founding director of MedCo. One of the most credentialled figures in UK credit hire.
Key tools and features
Witness statement generator
Documents-led, CPR Part 32 compliant statements built directly from the case file. The fee-earner reviews, edits and signs off.
Liability and impecuniosity assessments
Assessments grounded in UK precedent, with the supporting authorities cited next to the reasoning.
BHR reply generator
Bunting-aware locality checks and ABI GTA rate lookup, packaged into a reply letter the fee-earner can defend line by line.
Case law library
A curated library of 210 UK authorities across five practice areas: RTA and credit hire, housing disrepair, clinical negligence, employers’ liability and public liability. Citations are checked against the library; the solicitor reviews the output.
Medical pagination
Paginated medical bundles produced from source PDFs in an isolated, access-controlled workspace, with originals deleted on completion.
Handler-in-the-loop review
Every output sits in the fee-earner's review queue with a full audit trail of what the model produced and what was approved.
Measured outcomes
210
UK authorities across five practice areas
14-point
Compliance check supporting solicitor review
CPR Part 32
Witness statements reviewed by the solicitor
Compliance safeguards
- Outputs are constrained to a curated knowledge base, so the model cannot invent citations, postcodes or rate evidence.
- Text workflows use personal-information masking, subject to documented exceptions and the limits of automated detection.
- Citations are verified server-side against the Case law library.
- Medical pagination handles source documents separately from text workflows; see the product privacy policy for processing and deletion details.
- AI providers do not train on your data.
Related reading
What Credit Hire Teams Should Take From the Pinsent Masons AI Ruling
A senior judge has said a junior solicitor 'almost entirely outsourced the thinking process' to AI. Here is what the Pinsent Masons ruling means for credit hire operations and how to design against the three failure modes it exposes.
Impecuniosity in Credit Hire: What the Courts Actually Require
What does impecuniosity actually mean in credit hire? A practical guide to pleading, proving, and defending it, grounded in Lagden and recent case law.
More from the CaseFlow family
Frequently asked questions
See LegalDocs Assist in action
Visit the product website for its current demonstrations, or contact us to discuss your workflow.