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AI training for law firms, AI for legal professionals
AI training for lawyers
AI training for lawyers works best when it is built on the firm's real work: the letters, reviews, research notes and intake steps that fee earners do every week.
predeploy runs in-firm AI training for law firms that teaches people to use approved tools well, check what they produce and supervise others who use them. This is training people, not training models: we do not build or fine-tune legal AI systems as part of this offer.
Fee earners and support staff who use the firm's approved tools on real tasks, verify outputs consistently and know where the firm's limits are.
Firms remain responsible and accountable for AI outputs, cannot delegate accountability to IT or providers, need supervision that copes with AI speed, and should decide what to tell clients. SRA: Risk Outlook report, the use of artificial intelligence in the legal market ↗
Solicitors' duties to court and client apply regardless of AI use, including work under their supervision; citations must be verified; misleading the court breaches para 1.4 of the SRA Code. The Law Society: Generative AI, the essentials ↗
New to the topic? Read the background on artificial intelligence.
AI training for law firms, AI for legal professionals
what does AI training for lawyers cover?
Approved tools, real matter workflows, verification and the firm's own rules.
Each session uses anonymised or dummy versions of the firm's own work, so people practise on the tasks they actually do rather than generic examples.
Core content covers prompting for drafting and summarising, structured document review, and how to turn a research answer into verified authority.
We tie every exercise back to the firm's policy; if there is not one yet, the AI policy for law firms guide is the starting point.
Real matter types.
Verification in every exercise.
Linked to firm policy.
AI training for law firms, AI for legal professionals
why does verification sit at the centre of AI training for lawyers?
Because the courts and regulators hold lawyers responsible for every output.
The Divisional Court in Ayinde v Haringey addressed lawyers putting unchecked AI-generated false citations before the court, and raised the adequacy of training and supervision.
The Law Society's generative AI essentials says citations in pleadings must be verified and AI-generated data reviewed against reliable, authoritative sources.
AI training for lawyers therefore teaches a checking routine as a habit: locate the source, read it, confirm it says what the draft claims, and record the check.
AI training for law firms, AI for legal professionals
how does the training handle supervision?
It trains supervisors as well as users.
The SRA's Risk Outlook on AI notes that the high output of AI systems makes effective supervision harder, and that firms need processes to manage this.
We run a separate session for partners and supervisors on reviewing AI-assisted work: what to ask, what to spot-check and when to send work back.
This matters because Law Society guidance applies a solicitor's duties to work done by anyone under their supervision, not only to their own work.
| Check | What to establish |
|---|---|
| 1 | Separate supervisor session. |
| 2 | Spot-check routines. |
| 3 | Clear escalation. |
AI training for law firms, AI for legal professionals
what about confidentiality during training?
We use dummy or anonymised material and the firm's approved tools only.
No live client data is needed to train people well. We build exercises from anonymised precedents or invented matters that mirror real ones.
Sessions run on the tools the firm has approved and configured, so people learn the settings they will actually use.
Where a firm is still choosing tools, we cover the questions to ask, informed by the ICO's AI and data protection guidance, rather than recommending a product.
For litigation teams, we also walk through the judicial guidance on AI, which reminds judicial office holders not to enter private information into public AI tools, as a signal of what the courts expect.
AI training for law firms, AI for legal professionals
who is AI training for lawyers suitable for?
Fee earners, trainees, paralegals, secretaries and business services.
Content differs by role. Trainees and paralegals focus on review and research discipline; secretaries and assistants on correspondence and diaries, overlapping with AI for executive assistants.
Business services teams such as marketing, finance and HR can join the firm-wide sessions or follow the general AI training for employees route.
For AI for legal professionals in-house, the same structure applies, adapted to the legal team's own matters and stakeholders.
Role-specific tracks.
Business services included.
In-house teams adapted.
AI training for law firms, AI for legal professionals
how do we start AI training for law firms with predeploy?
Begin with a short scoping call and a workflow baseline.
We agree which matter types and roles to cover, review the firm's policy and tools, and record a baseline of how the chosen tasks are done today.
The baseline is a description of current workflow, not a promised saving; we do not quote time or cost reductions in advance.
To discuss AI training for lawyers in your firm, contact predeploy with the practice areas and roles you want to include.
Scope the roles.
Record a baseline.
Agree success measures.
Make the decision concrete
What does the current task cost in time?
Choose a task connected to ai training for lawyers and enter its current workload. This gives you a baseline to discuss before buying training or commissioning a build.
A baseline is useful even if you decide to keep the process manual. Measure the work that matters, then compare quality and review effort as well as time.
Assess the workflow before changing it, or plan business AI training if the gap is how people use existing tools.
Your current workload
Estimate how much time the existing task takes before discussing ai training for lawyers.
16 hours per week
People × minutes × weekly tasks ÷ 60. A workload baseline from your inputs, not a prediction of AI time savings. Include review and support time when comparing a proposed workflow.
A useful AI investment leaves your team able to do the work and judge the result.
Continue with the right question
Where should you go next?
Use the overview for context, then follow the pages that match your delivery decision.
See our ai training service or read the ai for law firms overview.
FAQ
Questions, answered
Evidence and further reading
Which sources support the guidance?
Source links support the specific background described here. The practical checklists and illustrative examples are predeploy’s guidance.
Firms remain responsible and accountable for AI outputs, cannot delegate accountability to IT or providers, need supervision that copes with AI speed, and should decide what to tell clients. SRA: Risk Outlook report, the use of artificial intelligence in the legal market ↗
Solicitors' duties to court and client apply regardless of AI use, including work under their supervision; citations must be verified; misleading the court breaches para 1.4 of the SRA Code. The Law Society: Generative AI, the essentials ↗
Divisional Court referrals over lawyers' unchecked use of generative AI putting false citations before the court; raises concerns about training, supervision and regulation. Ayinde v London Borough of Haringey [2025] EWHC 1383 (Admin) ↗
Refreshed guidance replacing April 2025 version; expands on hallucination and bias risks and reminds judicial office holders not to enter private information into public AI tools. Courts and Tribunals Judiciary: AI judicial guidance (October 2025) ↗
ICO guidance covers AI accountability, transparency and fairness; the guidance is currently under review. ICO: AI and data protection guidance ↗
Background reading on the broader field of artificial intelligence. Wikipedia: artificial intelligence ↗
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