In this Use Case we share some examples of how Richard Paige of Park Square Barristers uses AI to enhance efficiency and accuracy in litigation, drafting and document review. Richard specialises in clinical negligence, personal injury and civil insurance fraud.
1. Litigation Drafting & Precedent Generation
| Use Case | Description | Benefits | Challenges/Caveats |
|---|---|---|---|
| Drafting Pleadings | Uploading liability, causation, and quantum evidence (e.g., expert medical reports) to generate a first draft of the Particulars of Claim (PoC) in clinical negligence cases. | Significantly reduces initial drafting time; provides a comprehensive starting point based on evidence. | AI may make fundamental errors, such as: (a) Referring directly to evidence reports within the PoC (undesirable practice (b) Pleading incorrect causes of action (e.g., pleading contract in an NHS tort-only claim). |
| Drafting Joint Expert Agendas | Uploading opposing experts' medical reports and using AI to prepare a first draft of the Joint Expert Agenda. | Automates the routine initial task of collating and identifying points of agreement/disagreement. | Requires human review to ensure all critical issues are covered and correctly framed. |
2. Quantum and Loss Calculation Analysis
| Use Case | Description | Benefits | Challenges/Caveats |
|---|---|---|---|
| Schedule of Loss Verification | Uploading an existing Schedule of Loss to have the AI check the arithmetic and calculations. | Ensures mathematical accuracy and consistency within the document. | The AI's verification should be viewed as a quality control check, not a final assurance. |
| Loss Figure Updates | Uploading a Schedule of Loss to prompt the AI to update figures based on: (a) the passage of time and (b) changes in the discount rate (relevant for multiplier/multiplicand calculations). | Quickly adjusts quantum figures to reflect current legal/economic parameters. | Significant Risk: The AI frequently miscalculates the multiplier figure (based on the discount rate), necessitating mandatory double-checking by the barrister. |
3. High-Volume Document Review and Evidence Triage
| Use Case | Description | Benefits | Challenge/Time Savings |
|---|---|---|---|
| Complex Factual Analysis | Analysing vast volumes of documents (e.g., DWP records, medical notes) to triage key factual issues and assess case viability. | Identifies evidence that supports or contradicts the client's case and provides instantaneous, meticulous findings. | This use case eliminates hours of non-billable or "administrative" review time, allowing the barrister to focus on substantive legal strategy. |
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Real-World Example: Reviewing over 1,000 pages of DWP records to confirm that a claimant's pre-accident medical history showed incapacity to provide care, thus undermining a claim for loss of care provision. Result: Confirmation of incapacity in seconds, a task that would have taken the barrister hours with a significant risk of human error or oversight. |
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