Legal technology planning is more useful when it ends in a testable decision. This 2026 review identifies seven areas a legal team can evaluate and the evidence that would support adoption. It does not claim that every firm follows the same trend or that a demonstration proves a return on investment.
Start with a recurring matter task
Choose a task with a clear input, output and reviewer: researching an issue, comparing a contract family or preparing an evidence chronology. Record the current process before changing it. A pilot can then measure correction effort, missing information and handover quality. A general question about whether the firm needs AI rarely identifies these practical limits.
1. Source verification becomes a procurement question
Ask whether a reviewer can open the authority or document passage supporting each important claim. Separate retrieval errors from reasoning errors and formatting defects. Keep deliberately difficult questions in the pilot, including a missing source and an adverse authority. Our research evaluation guide provides a repeatable test design.
2. Jurisdiction depth matters more than country counts
A cross-border practice needs to know which court levels, instruments, versions and languages a workflow supports. EU law is distinct from member-state law; the UAE contains separate mainland, DIFC and ADGM contexts. Start with the jurisdiction coverage pages, then test sources from the matter’s actual scope. Record material that remains unavailable.
3. Review becomes a sequence of checks
Use extraction to identify candidate clauses and issues, then check their context and legal effect. A contract family may contain an amendment that changes the apparent position in the master agreement. Preserve the source hierarchy and mark conflicts. Use the contract review checklist to define the questions before running a review.
4. Shared work needs explicit access boundaries
A common workspace can help reviewers find the same documents, but collaboration also introduces permission questions. Test who can see a matter, export a result, share a link and revoke access. Include a colleague with restricted access in the test. Collaboration and File Library should be evaluated together with your organisation’s access policy.
5. AI search adds another discovery surface
Google’s AI-features guidance describes the continued relevance of ordinary search eligibility and useful content. For a legal website, publish clear source-based answers and avoid claiming automatic inclusion from a special file or schema. Track actual impressions, visits and qualified enquiries separately; visibility in an AI answer is not the same as a client engagement.
6. Governance must follow the workflow
Policy reviews need to keep pace with changes in tools and their uses. California’s State Bar reports a May 2026 update to its practical AI guidance. Check the relevant authority for your jurisdiction, then record the effect on approved tools, information sharing and supervision. Do not assume that a compliance label or a completed questionnaire establishes continuing compliance.
7. Translation requires a review handover
Preserve the original document, translated version and unresolved terminology. Names, dates, negations, defined terms and obligations deserve a focused comparison. Where certification or formal filing is needed, verify the receiving authority’s requirements. AI-assisted translation supports a working review; it is not automatically a certified translation or an authoritative statement of foreign law.
A practical pilot record
| Decision | Record before rollout |
|---|---|
| Scope | Task, jurisdiction, permitted data and responsible reviewer |
| Acceptance | Required sources, export format, access limits and known failure cases |
| Evidence | Original outputs, corrections, review effort and unresolved gaps |
| Rollout | Owner, training, fallback process and conditions for re-evaluation |
For example, a fictional team testing redlines might accept clause-level suggestions only after confirming that rejected changes stay rejected in the exported file. The tracked-changes workflow describes that handover. Keep the decision narrow enough that the evidence supports it, then use product documentation to verify the capabilities your team will rely on.