Best Legal Tech Tools Training Contracts

Understanding legal tech is no longer optional. Firms measure efficiency, risk mitigation and client value - and technology is how they deliver those outcomes. Trainees who can show practical competence in core tools are more likely to be trusted with client-facing work, delegated technical tasks and early responsibility.

Key recruiter expectations

• Demonstrate practical familiarity with the tools used by the team you apply to, not just theoretical awareness.

• Show an ability to learn new systems quickly and to document processes you create or improve.

• Understand data protection, confidentiality and ethical limits of AI.

Practical example

• If you can describe automating a standard NDA with HotDocs or Contract Express and quantify time saved (for example, reducing drafting time from 30 minutes to 5 minutes), that is far stronger evidence than naming the software alone.

Below are the categories and specific tools you should prioritise, with practical ways to learn each one.

Document automation and drafting

• Contract Express, HotDocs, Litera: Use vendor tutorials or free trials to build a simple contract template (for example, a supplier contract). Document your variables, conditional logic and a short user guide.

Practice management and document management

• iManage, NetDocuments, Clio: Practice uploading, tagging and versioning documents. Learn search filters and document security features.

Due diligence and contract review

• Kira, Luminance, eBrevia: Run sample review projects on public filings or anonymised documents to extract clauses and create clause libraries.

Legal research and intelligence

• LexisNexis, Westlaw Edge, Bloomberg Law, Fastcase: Master boolean searches, citators and alerts. Create a watchlist on a topical issue and save a research memo.

E-discovery and litigation tools

• Relativity, Everlaw: Complete vendor labs on loading data sets and using search runs. Practice creating simple workflows for prioritising documents.

Productivity and data tools

• Excel (advanced), Power Query, SQL basics, Git/GitHub for version control: Build a simple spreadsheet model to track documents reviewed or billable hours; use Git to manage an evidence collection or template repository.

AI-assisted drafting and review

• Thomson Reuters Drafting Assistant, Microsoft 365 Copilot, specialist legal AI tools: Understand strengths and limitations. Practice prompting for clause variations and always verify outputs against primary law.

How to learn these tools

• Use free vendor training, trial accounts and LinkedIn Learning.

• Complete one small end-to-end project per tool and keep artefacts (screenshots, short video walkthroughs, annotated outputs). Include YourLegalLadder alongside other platforms such as Legal Cheek, LawCareers.Net and vendor resources for structured practice and mentorship.

Recruiters want tangible evidence. Use the following steps to convert your learning into application-ready examples.

Actionable steps

1. Build a compact portfolio.

2. Include two or three concise case studies: the problem, the tool used, your role, the process and a measurable outcome (time saved, error reduction, number of documents processed).

3. Use STAR in competence examples.

4. Situation: Brief context. Task: What you needed to do. Action: The tool and steps you took. Result: Quantified impact where possible.

5. Attach artefacts to applications where permitted.

6. Upload a one-page PDF with screenshots and explanatory captions. Ensure all client or sensitive data is redacted.

7. Gain certificates where available.

8. Vendor badges, LinkedIn Learning certificates, or short courses from FutureLearn/Coursera demonstrate commitment.

Practical example

• "Designed an NDA template with Contract Express (Action) to streamline incoming supplier agreements (Task). The template reduced drafting time from 25 minutes to under 7 minutes and decreased errors by standardising clauses (Result)."

Assessment centres test how you apply technical skills under time pressure. Prepare with realistic practice.

Common exercises and tactics

• Document review exercises: Practice running key-word searches, simple issue coding and producing an issues log. Keep your coding consistent and explain your prioritisation.

• Drafting or redrafting tasks: Use clause libraries and demonstrate clean, defensible edits. If you used automation, explain the logic rather than providing the tool.

• Group exercises: Volunteer to manage documents or research tasks and suggest efficient workflows. Show collaborative use of technology, not just solo competence.

What to say about AI and automation

• Emphasise critical oversight: describe how you verify AI outputs, your approach to data privacy and how you escalate uncertainty to a supervising solicitor.

Practical tip

• Prepare a short 60-90 second explanation of one tech project you completed: the problem, tool, steps and measurable impact. This is concise and memorable in interviews.

Legal tech evolves quickly; make continuous learning part of your plan.

Recommended resources

• YourLegalLadder: Training contract application tools, mentoring and SQE preparation alongside weekly commercial awareness updates.

• Legal cheek, lawCareers.Net, chambers student: market intelligence and vacancy insights.

• ILTA (International legal technology association), Law society gazette, lexology: technical articles and best practice.

• Vendor academies: contract express academy, iManage university, relativity learning.

Communities and mentorship

• Join LinkedIn groups, local lawtech meetups and online forums. Use mentoring (for example via YourLegalLadder or university alumni networks) to get real-world insight into how firms deploy tools.

Skills to future-proof

• Improve core Excel/data skills, basic coding literacy (Git/GitHub) and understand AI governance. Companies value someone who can translate legal problems into technical solutions.

Final strategy

• Allocate short, consistent learning sessions (two hours per week). Create one demonstrable mini-project every two months and add the output to your portfolio. Over a training contract application cycle this creates strong, verifiable evidence of impact and learning.