Your firm has done this work before. Your people should be able to find it

Legal, accounting, consulting and specialist advisory firms sell expert time. We help you reuse prior work, take the weight out of drafting and review, and bring AI into client work with citations, assurance and a professional still accountable.

See Answerable in action The problems we solve

The problems

Where professional time leaks

  • High-cost time on low-value tasks

    Senior people search, format and check when they should be advising.

  • Prior work that is hard to reuse

    Precedents, past advice and deliverables exist, but finding the right one takes longer than starting again.

  • The drafting and review burden

    First drafts and second reviews consume the hours that clients notice in the bill.

  • Knowledge trapped in individuals

    The firm’s best thinking lives with a few partners and leaves when they do.

  • Client preparation

    Getting ready for a client meeting means pulling together matters, correspondence and research by hand.

  • Research

    Legal, regulatory and technical research is repeated across teams and matters.

  • Matter and project history

    What was decided, why and by whom is scattered across systems and inboxes.

  • Proposals

    Every pitch rebuilds credentials, approach and pricing from scratch.

  • Onboarding

    New joiners take months to learn how the firm actually does things.

  • High-trust outputs

    Regulated and client-facing work needs citations, assurance and a professional who signs it off.

Forcing events

When it usually comes to a head

  • Clients questioning hours billed for work AI could speed up
  • Partners using public AI tools on client material
  • A move away from hourly billing toward fixed fees
  • A merger bringing two knowledge bases together
  • A regulator or insurer asking how AI is controlled

What you already hold

The knowledge and data involved

  • Precedents, templates and standard documents
  • Previous advice, reports and deliverables
  • Matter, engagement and project records
  • Regulation, guidance and professional standards
  • Proposals, credentials and pricing history
  • Methodologies and internal know-how

Workflows

Workflows we change

Specific pieces of recurring work, each with an owner, a baseline and a measure of what changed.

  1. Precedent and prior work search

    Find the right previous advice, clause or deliverable, with the context of why it was written.

  2. First-draft preparation

    Drafts grounded in the firm’s precedents and the client’s documents, for the professional to edit.

  3. Review support

    Check a document against policy, regulation or the firm’s standards, with each issue cited.

  4. Client meeting preparation

    A briefing on the client, open matters and relevant research before the meeting.

  5. Proposal and credentials

    Proposals assembled from previous work, credentials and approaches the firm has used before.

  6. Knowledge capture and onboarding

    The firm’s methods and know-how captured and made answerable for new joiners.

Where AI earns its place

AI opportunities

  • Prior work, found and reused

    The firm’s own precedents and deliverables answered and cited, so work starts from what already exists.

  • Drafting with a professional in charge

    First drafts from the firm’s sources, with review steps where judgement and liability sit.

  • Assurance you can show

    Citations, permissions and logs that let the firm show how AI was used on client work.

  • Faster, better proposals

    Proposals and credentials assembled from what the firm has already done.

What usually sits underneath

When AI disappoints, the cause is usually the data, systems and ownership beneath it, so we look there too.

  • Document management systems with inconsistent filing and metadata
  • Matter and practice management data that does not join to documents
  • Ethical walls and client confidentiality rules that must hold
  • Shadow use of public AI tools without controls

Broader technology and data work

  • Knowledge and document architecture
  • Independent review of legal or professional AI vendors
  • Senior technology leadership for a growing firm
  • Integration after a merger

What we could build or change

Examples of the work

Illustrations of what an engagement could produce, scoped to your own information and measured against a baseline.

  • A precedent and prior-work assistant that respects ethical walls
  • A review workflow that checks drafts against policy and cites each issue
  • A proposal builder that reuses credentials and previous approaches
  • A client preparation briefing drawn from matter history and research

Answerable

Answerable Counsel and Advisory

Counsel is set up for legal and regulatory work, shown answering a question on indemnity risk with a liability-cap table and three cited sources. Advisory is set up for wealth management, shown answering a question on target asset allocation.

See every configuration

Answerable Counsel: Legal & Regulatory

Set up for legal and regulatory work: legal briefs, compliance filings, case precedent and contract clauses.

Answerable Counsel screen with an answer on indemnity risk, a liability-cap table and three numbered sources (opens the screen full size in a new tab)
Answerable Counsel answering which contract clauses carry indemnity risk, with a liability-cap table and three cited sources. Real product screens from demonstration environments. Organisation and author names in them are fictional, and the figures show how the product answers, not findings.

Proof

What we have built and done

Each item says where it comes from: TechGuidr’s own products, the founder’s earlier roles or demonstration configurations.

  • Demonstration configuration

    Answerable Counsel: Legal & Regulatory

    A configuration for legal and regulatory work, with the reviewing professional kept in charge, shown on illustrative content.

    See the configurations
  • TechGuidr product

    Answerable, in production and daily use

    Built around the requirements of a leading economic intelligence business: more than 78,500 publications and 25 years of research, answered with sources a reader can check. During ingestion we spotted and fixed premium research that was publicly reachable.

    Read the case study
  • Founder’s earlier role

    A data and advanced analytics practice, built from the founding team

    As a founding member of a consulting partner’s Data & Advanced Analytics practice, Dan built the practice and recruited the architects, engineers and data scientists around it. Delivered in an earlier role.

    See earlier work

How we engage

Where to start

Every engagement starts from the decision or outcome you need. Prices are starting points and exclude VAT.

Industries

Related industries

All industries

Start with the work your firm repeats most

We will look at how it happens today, where the time goes and what it would take to make your prior work answerable.

See Answerable in action See the AI Work Review