Practice area
Knowledge Management
How an Australian firm may use AI on its own precedents, clause library, matter knowledge and practice notes, and what the lawyer still has to check.
Key facts
- Tasks covered
- 30
- Tasks with a step-by-step checklist
- 30
Jurisdiction
Tasks
GreenLawyer reviewYellowClose supervisionRedLawyer-led
| Task | How AI is used | Human involvement | What the lawyer must review |
|---|---|---|---|
| Update a precedent after a law change | Use AI to find every firm precedent that cites the amended provision and draft marked-up changes. | YellowClose supervision | KM lawyer settles each change; record the version and date. |
| Build a clause library from executed agreements | Extract recurring clauses from signed deals and group the variants. | YellowClose supervision | Partner approves the preferred clauses; strip client-identifying details first. |
| Search firm know-how with AI | Ask natural-language questions over the DMS and know-how with permission-aware search. | GreenLawyer review | Open the source document before relying on any answer. |
| Anonymise a matter document before adding it to the precedent bank | Detect and redact names, figures and identifiers. | YellowClose supervision | Human checks the redaction; confidentiality duties continue after the matter ends. |
| Check a precedent bank for outdated legislation references | Flag citations to repealed or amended provisions. | GreenLawyer review | KM lawyer confirms the current law. |
| Write drafting notes for a precedent | Draft guidance notes explaining each clause and its options. | YellowClose supervision | Subject-matter partner reviews. |
| Set up permission-aware AI search over the DMS | Configure AI search to respect matter security and ethical walls. | YellowClose supervision | IT and risk test walls before rollout. |
| Apply ethical walls to AI knowledge tools | Ensure walled matters are excluded from AI retrieval for blocked users. | RedLawyer-led | Risk partner signs off on the configuration. |
| Capture deal points from closed transactions into a database | Extract key commercial terms into a searchable deal-point database. | GreenLawyer review | Spot-check extraction accuracy. |
| Create a prompt library alongside precedents | Store tested prompts linked to each precedent and task. | YellowClose supervision | KM reviews prompts regularly. |
| Benchmark a clause against market practice | Compare a draft clause with firm and market precedents. | YellowClose supervision | Lawyer judges what is market for the deal. |
| Assess privilege risk before ingesting advice files into AI | Classify privileged advice and check the tool's data terms. | YellowClose supervision | Risk partner decides what may be ingested. |
| Apply file retention rules to AI-indexed content | Map the retention schedule to AI indexes and vector stores so destroyed files are removed. | YellowClose supervision | Records manager confirms deletion across systems. |
| Summarise new judgments for a practice-group know-how update | Draft case notes on recent decisions. | GreenLawyer review | Lawyer checks each summary against the judgment. |
| Build a matter-closing knowledge capture checklist | Prompt the team to submit precedents, lessons and deal points at close. | YellowClose supervision | KM reviews submissions. |
| Tag and classify legacy precedents with AI | Auto-tag by practice area, document type and jurisdiction. | YellowClose supervision | Sample-check tags. |
| Deduplicate a precedent bank | Find near-duplicate templates and propose one master. | GreenLawyer review | KM chooses the master. |
| Draft a firm policy on using client documents as AI knowledge | Policy on consent, anonymisation and approved tools. | YellowClose supervision | Principal approves; check engagement terms. |
| Answer internal "how do we do X" queries with a supervised knowledge bot | Deploy a Q&A bot over approved know-how. | YellowClose supervision | Answers cite sources; lawyers verify. |
| Convert Word templates into automated precedents with AI | Use AI to identify variables and build a questionnaire. | YellowClose supervision | Test outputs before release. |
| Maintain jurisdiction-specific variants of a precedent | Generate state variants and flag differences. | YellowClose supervision | Local practitioner checks each variant. |
| Monitor regulator and court AI rules for the know-how library | Collect and summarise new practice notes. | GreenLawyer review | Verify each against the source. |
| Prepare a know-how note from a partner's email advice | Turn an advice email into a de-identified practice note. | YellowClose supervision | Partner approves; strip client details. |
| Audit who can see what in AI knowledge tools | Review access logs and permissions for AI search. | GreenLawyer review | Risk reviews quarterly. |
| Evaluate an AI KM vendor | Assess hosting, training use, permissions and connectors. | YellowClose supervision | Use the law society checklist. |
| Train lawyers on AI-assisted precedent use | Deliver CPD on verification and confidentiality. | YellowClose supervision | KM tracks completion. |
| Preserve prompts and outputs for records and discovery | Decide which AI interactions form part of the file. | YellowClose supervision | Lawyer applies retention and discovery duties. |
| Compare an incoming draft against the firm precedent | Show departures from the firm standard. | YellowClose supervision | Lawyer assesses each departure. |
| Build a matter experience database for pitches | Extract matter descriptions for credentials. | YellowClose supervision | Check client consent before external use. |
| Measure KM and AI adoption | Report usage of precedents and AI tools across groups. | YellowClose supervision | KM reviews data quality. |
Firm-wide obligations
| Obligation | What it covers |
|---|---|
| Trust accounting & handling client money | Checks that apply across files. |
| Costs, billing & litigation funding | Checks that apply across files. |
| Client-facing & access-to-justice AI tools | Checks that apply across files. |
| Incoming evidence — deepfakes & synthetic documents | Checks that apply across files. |
| AI decision systems | Checks that apply across files. |
| Confidentiality & client information | Checks that apply across files. |
| AML/CTF — the practice as a reporting entity | Checks that apply across files. |
Precedents for this area
- Precedent review and approval procedure (including AI-drafted and AI-updated precedents) (Policy, AI use Yellow). A procedure for the life of every firm precedent: request, drafting, technical and legal review, approval by a named practitioner, publication to people and AI tools, monitoring for law changes, urgent fixes, versioning and retirement, with extra controls for AI-drafted content.
- Precedent metadata and version-control standard (for people and AI retrieval) (Other, AI use Green). A field-by-field metadata standard for firm precedents, covering status, jurisdiction, authorities and their currency, licence and provenance, confidentiality, AI-assisted flags, approver and review dates, with rules that AI retrieval tools must follow.
- AI prompt library governance policy (prompt templates linked to precedents and tasks) (Policy, AI use Green). A policy that treats prompts as firm know-how: how prompt templates are designed with guardrails, tested, approved, versioned, linked to precedents, re-tested after model changes, used only in approved tools and retired, with a template skeleton and test record.
- Knowledge-base content licensing and copyright checklist (before AI ingestion) (Checklist, AI use Yellow). A checklist to confirm that each source added to a firm knowledge base or AI index is owned by the firm or licensed for that use, covering ownership, publisher and site terms, court forms, legislation and judgments, open licences, Australian exceptions and confidentiality.
- Matter close-out know-how capture form with confidentiality scrub (Form, AI use Yellow). A close-out form that captures precedents, clauses, deal points and lessons from a finished matter, with a confidentiality and privilege scrub, information-barrier and restricted-material checks, rules for AI-assisted drafting of know-how, and sign-off before anything enters the knowledge base.
- AI knowledge assistant governance and source-citation policy (permission-aware search, information barriers, citations) (Policy, AI use Yellow). A policy for a firm AI knowledge assistant: approved sources, permission-aware retrieval that respects matter security and information barriers, mandatory source citations, "not found" behaviour, user verification duties, index hygiene and retention, audits and incidents.
All precedents for Knowledge Management. Signed-in accounts can read the full text.